gyung commited on
Commit
d7cb85c
·
verified ·
1 Parent(s): 2c7c2e1

Upload Gemma 4 native SFT model

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
chat_template.jinja ADDED
@@ -0,0 +1,354 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- macro format_parameters(properties, required, filter_keys=false) -%}
2
+ {%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
3
+ {%- set ns = namespace(found_first=false) -%}
4
+ {%- for key, value in properties | dictsort -%}
5
+ {%- set add_comma = false -%}
6
+ {%- if not filter_keys or key not in standard_keys -%}
7
+ {%- if ns.found_first %},{% endif -%}
8
+ {%- set ns.found_first = true -%}
9
+ {{ key }}:{
10
+ {%- if value['description'] -%}
11
+ description:<|"|>{{ value['description'] }}<|"|>
12
+ {%- set add_comma = true -%}
13
+ {%- endif -%}
14
+ {%- if value['type'] | upper == 'STRING' -%}
15
+ {%- if value['enum'] -%}
16
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
17
+ enum:{{ format_argument(value['enum']) }}
18
+ {%- endif -%}
19
+ {%- elif value['type'] | upper == 'ARRAY' -%}
20
+ {%- if value['items'] is mapping and value['items'] -%}
21
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
22
+ items:{
23
+ {%- set ns_items = namespace(found_first=false) -%}
24
+ {%- for item_key, item_value in value['items'] | dictsort -%}
25
+ {%- if item_value is not none -%}
26
+ {%- if ns_items.found_first %},{% endif -%}
27
+ {%- set ns_items.found_first = true -%}
28
+ {%- if item_key == 'properties' -%}
29
+ properties:{
30
+ {%- if item_value is mapping -%}
31
+ {{- format_parameters(item_value, value['items']['required'] | default([])) -}}
32
+ {%- endif -%}
33
+ }
34
+ {%- elif item_key == 'required' -%}
35
+ required:[
36
+ {%- for req_item in item_value -%}
37
+ <|"|>{{- req_item -}}<|"|>
38
+ {%- if not loop.last %},{% endif -%}
39
+ {%- endfor -%}
40
+ ]
41
+ {%- elif item_key == 'type' -%}
42
+ {%- if item_value is string -%}
43
+ type:{{ format_argument(item_value | upper) }}
44
+ {%- else -%}
45
+ type:{{ format_argument(item_value | map('upper') | list) }}
46
+ {%- endif -%}
47
+ {%- else -%}
48
+ {{ item_key }}:{{ format_argument(item_value) }}
49
+ {%- endif -%}
50
+ {%- endif -%}
51
+ {%- endfor -%}
52
+ }
53
+ {%- endif -%}
54
+ {%- endif -%}
55
+ {%- if value['nullable'] %}
56
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
57
+ nullable:true
58
+ {%- endif -%}
59
+ {%- if value['type'] | upper == 'OBJECT' -%}
60
+ {%- if value['properties'] is defined and value['properties'] is mapping -%}
61
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
62
+ properties:{
63
+ {{- format_parameters(value['properties'], value['required'] | default([])) -}}
64
+ }
65
+ {%- elif value is mapping -%}
66
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
67
+ properties:{
68
+ {{- format_parameters(value, value['required'] | default([]), filter_keys=true) -}}
69
+ }
70
+ {%- endif -%}
71
+ {%- if value['required'] -%}
72
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
73
+ required:[
74
+ {%- for item in value['required'] | default([]) -%}
75
+ <|"|>{{- item -}}<|"|>
76
+ {%- if not loop.last %},{% endif -%}
77
+ {%- endfor -%}
78
+ ]
79
+ {%- endif -%}
80
+ {%- endif -%}
81
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
82
+ type:<|"|>{{ value['type'] | upper }}<|"|>}
83
+ {%- endif -%}
84
+ {%- endfor -%}
85
+ {%- endmacro -%}
86
+ {%- macro format_function_declaration(tool_data) -%}
87
+ declaration:{{- tool_data['function']['name'] -}}{description:<|"|>{{- tool_data['function']['description'] -}}<|"|>
88
+ {%- set params = tool_data['function']['parameters'] -%}
89
+ {%- if params -%}
90
+ ,parameters:{
91
+ {%- if params['properties'] -%}
92
+ properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
93
+ {%- endif -%}
94
+ {%- if params['required'] -%}
95
+ required:[
96
+ {%- for item in params['required'] -%}
97
+ <|"|>{{- item -}}<|"|>
98
+ {{- ',' if not loop.last -}}
99
+ {%- endfor -%}
100
+ ],
101
+ {%- endif -%}
102
+ {%- if params['type'] -%}
103
+ type:<|"|>{{- params['type'] | upper -}}<|"|>}
104
+ {%- endif -%}
105
+ {%- endif -%}
106
+ {%- if 'response' in tool_data['function'] -%}
107
+ {%- set response_declaration = tool_data['function']['response'] -%}
108
+ ,response:{
109
+ {%- if response_declaration['description'] -%}
110
+ description:<|"|>{{- response_declaration['description'] -}}<|"|>,
111
+ {%- endif -%}
112
+ {%- if response_declaration['type'] | upper == 'OBJECT' -%}
113
+ type:<|"|>{{- response_declaration['type'] | upper -}}<|"|>}
114
+ {%- endif -%}
115
+ {%- endif -%}
116
+ }
117
+ {%- endmacro -%}
118
+ {%- macro format_argument(argument, escape_keys=True) -%}
119
+ {%- if argument is string -%}
120
+ {{- '<|"|>' + argument + '<|"|>' -}}
121
+ {%- elif argument is boolean -%}
122
+ {{- 'true' if argument else 'false' -}}
123
+ {%- elif argument is mapping -%}
124
+ {{- '{' -}}
125
+ {%- set ns = namespace(found_first=false) -%}
126
+ {%- for key, value in argument | dictsort -%}
127
+ {%- if ns.found_first %},{% endif -%}
128
+ {%- set ns.found_first = true -%}
129
+ {%- if escape_keys -%}
130
+ {{- '<|"|>' + key + '<|"|>' -}}
131
+ {%- else -%}
132
+ {{- key -}}
133
+ {%- endif -%}
134
+ :{{- format_argument(value, escape_keys=escape_keys) -}}
135
+ {%- endfor -%}
136
+ {{- '}' -}}
137
+ {%- elif argument is sequence -%}
138
+ {{- '[' -}}
139
+ {%- for item in argument -%}
140
+ {{- format_argument(item, escape_keys=escape_keys) -}}
141
+ {%- if not loop.last %},{% endif -%}
142
+ {%- endfor -%}
143
+ {{- ']' -}}
144
+ {%- else -%}
145
+ {{- argument -}}
146
+ {%- endif -%}
147
+ {%- endmacro -%}
148
+ {%- macro strip_thinking(text) -%}
149
+ {%- set ns = namespace(result='') -%}
150
+ {%- for part in text.split('<channel|>') -%}
151
+ {%- if '<|channel>' in part -%}
152
+ {%- set ns.result = ns.result + part.split('<|channel>')[0] -%}
153
+ {%- else -%}
154
+ {%- set ns.result = ns.result + part -%}
155
+ {%- endif -%}
156
+ {%- endfor -%}
157
+ {{- ns.result | trim -}}
158
+ {%- endmacro -%}
159
+
160
+ {%- macro format_tool_response_block(tool_name, response) -%}
161
+ {{- '<|tool_response>' -}}
162
+ {%- if response is mapping -%}
163
+ {{- 'response:' + tool_name + '{' -}}
164
+ {%- for key, value in response | dictsort -%}
165
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
166
+ {%- if not loop.last %},{% endif -%}
167
+ {%- endfor -%}
168
+ {{- '}' -}}
169
+ {%- else -%}
170
+ {{- 'response:' + tool_name + '{value:' + format_argument(response, escape_keys=False) + '}' -}}
171
+ {%- endif -%}
172
+ {{- '<tool_response|>' -}}
173
+ {%- endmacro -%}
174
+
175
+ {%- set ns = namespace(prev_message_type=None) -%}
176
+ {%- set loop_messages = messages -%}
177
+ {{- bos_token -}}
178
+ {#- Handle System/Tool Definitions Block -#}
179
+ {%- if (enable_thinking is defined and enable_thinking) or tools or messages[0]['role'] in ['system', 'developer'] -%}
180
+ {{- '<|turn>system\n' -}}
181
+ {#- Inject Thinking token at the very top of the FIRST system turn -#}
182
+ {%- if enable_thinking is defined and enable_thinking -%}
183
+ {{- '<|think|>\n' -}}
184
+ {%- set ns.prev_message_type = 'think' -%}
185
+ {%- endif -%}
186
+ {%- if messages[0]['role'] in ['system', 'developer'] -%}
187
+ {%- if messages[0]['content'] is string -%}
188
+ {{- messages[0]['content'] | trim -}}
189
+ {%- elif messages[0]['content'] is sequence -%}
190
+ {%- for item in messages[0]['content'] -%}
191
+ {{- item['text'] | trim + ' '-}}
192
+ {%- endfor -%}
193
+ {%- endif -%}
194
+ {%- set loop_messages = messages[1:] -%}
195
+ {%- endif -%}
196
+ {%- if tools -%}
197
+ {%- for tool in tools %}
198
+ {{- '<|tool>' -}}
199
+ {{- format_function_declaration(tool) | trim -}}
200
+ {{- '<tool|>' -}}
201
+ {%- endfor %}
202
+ {%- set ns.prev_message_type = 'tool' -%}
203
+ {%- endif -%}
204
+ {{- '<turn|>\n' -}}
205
+ {%- endif %}
206
+
207
+ {#- Pre-scan: find last user message index for reasoning guard -#}
208
+ {%- set ns_turn = namespace(last_user_idx=-1) -%}
209
+ {%- for i in range(loop_messages | length) -%}
210
+ {%- if loop_messages[i]['role'] == 'user' -%}
211
+ {%- set ns_turn.last_user_idx = i -%}
212
+ {%- endif -%}
213
+ {%- endfor -%}
214
+
215
+ {#- Loop through messages -#}
216
+ {%- for message in loop_messages -%}
217
+ {%- if message['role'] != 'tool' -%}
218
+ {%- set ns.prev_message_type = None -%}
219
+ {%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
220
+ {#- Detect continuation: suppress duplicate <|turn>model when previous non-tool message was also assistant -#}
221
+ {%- set prev_nt = namespace(role=None, found=false) -%}
222
+ {%- if loop.index0 > 0 -%}
223
+ {%- for j in range(loop.index0 - 1, -1, -1) -%}
224
+ {%- if not prev_nt.found -%}
225
+ {%- if loop_messages[j]['role'] != 'tool' -%}
226
+ {%- set prev_nt.role = loop_messages[j]['role'] -%}
227
+ {%- set prev_nt.found = true -%}
228
+ {%- endif -%}
229
+ {%- endif -%}
230
+ {%- endfor -%}
231
+ {%- endif -%}
232
+ {%- set continue_same_model_turn = (role == 'model' and prev_nt.role == 'assistant') -%}
233
+ {%- if not continue_same_model_turn -%}
234
+ {{- '<|turn>' + role + '\n' }}
235
+ {%- endif -%}
236
+
237
+ {#- Render reasoning/reasoning_content as thinking channel -#}
238
+ {%- set thinking_text = message.get('reasoning') or message.get('reasoning_content') -%}
239
+ {%- if thinking_text and loop.index0 > ns_turn.last_user_idx and message.get('tool_calls') -%}
240
+ {{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
241
+ {%- endif -%}
242
+
243
+ {%- if message['tool_calls'] -%}
244
+ {%- for tool_call in message['tool_calls'] -%}
245
+ {%- set function = tool_call['function'] -%}
246
+ {{- '<|tool_call>call:' + function['name'] + '{' -}}
247
+ {%- if function['arguments'] is mapping -%}
248
+ {%- set ns_args = namespace(found_first=false) -%}
249
+ {%- for key, value in function['arguments'] | dictsort -%}
250
+ {%- if ns_args.found_first %},{% endif -%}
251
+ {%- set ns_args.found_first = true -%}
252
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
253
+ {%- endfor -%}
254
+ {%- elif function['arguments'] is string -%}
255
+ {{- function['arguments'] -}}
256
+ {%- endif -%}
257
+ {{- '}<tool_call|>' -}}
258
+ {%- endfor -%}
259
+ {%- set ns.prev_message_type = 'tool_call' -%}
260
+ {%- endif -%}
261
+
262
+ {%- set ns_tr_out = namespace(flag=false) -%}
263
+ {%- if message.get('tool_responses') -%}
264
+ {#- Legacy: tool_responses embedded on the assistant message (Google/Gemma native) -#}
265
+ {%- for tool_response in message['tool_responses'] -%}
266
+ {{- format_tool_response_block(tool_response['name'] | default('unknown'), tool_response['response']) -}}
267
+ {%- set ns_tr_out.flag = true -%}
268
+ {%- set ns.prev_message_type = 'tool_response' -%}
269
+ {%- endfor -%}
270
+ {%- elif message.get('tool_calls') -%}
271
+ {#- OpenAI Chat Completions: forward-scan consecutive role:tool messages -#}
272
+ {%- set ns_tool_scan = namespace(stopped=false) -%}
273
+ {%- for k in range(loop.index0 + 1, loop_messages | length) -%}
274
+ {%- if ns_tool_scan.stopped -%}
275
+ {%- elif loop_messages[k]['role'] != 'tool' -%}
276
+ {%- set ns_tool_scan.stopped = true -%}
277
+ {%- else -%}
278
+ {%- set follow = loop_messages[k] -%}
279
+ {#- Resolve tool_call_id to function name -#}
280
+ {%- set ns_tname = namespace(name=follow.get('name') | default('unknown')) -%}
281
+ {%- for tc in message['tool_calls'] -%}
282
+ {%- if tc.get('id') == follow.get('tool_call_id') -%}
283
+ {%- set ns_tname.name = tc['function']['name'] -%}
284
+ {%- endif -%}
285
+ {%- endfor -%}
286
+ {#- Handle content as string or content-parts array -#}
287
+ {%- set tool_body = follow.get('content') -%}
288
+ {%- if tool_body is string -%}
289
+ {{- format_tool_response_block(ns_tname.name, tool_body) -}}
290
+ {%- elif tool_body is sequence and tool_body is not string -%}
291
+ {%- set ns_txt = namespace(s='') -%}
292
+ {%- for part in tool_body -%}
293
+ {%- if part.get('type') == 'text' -%}
294
+ {%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}
295
+ {%- endif -%}
296
+ {%- endfor -%}
297
+ {{- format_tool_response_block(ns_tname.name, ns_txt.s) -}}
298
+ {%- else -%}
299
+ {{- format_tool_response_block(ns_tname.name, tool_body) -}}
300
+ {%- endif -%}
301
+ {%- set ns_tr_out.flag = true -%}
302
+ {%- set ns.prev_message_type = 'tool_response' -%}
303
+ {%- endif -%}
304
+ {%- endfor -%}
305
+ {%- endif -%}
306
+
307
+ {%- set captured_content -%}
308
+ {%- if message['content'] is string -%}
309
+ {%- if role == 'model' -%}
310
+ {{- strip_thinking(message['content']) -}}
311
+ {%- else -%}
312
+ {{- message['content'] | trim -}}
313
+ {%- endif -%}
314
+ {%- elif message['content'] is sequence -%}
315
+ {%- for item in message['content'] -%}
316
+ {%- if item['type'] == 'text' -%}
317
+ {%- if role == 'model' -%}
318
+ {{- strip_thinking(item['text']) -}}
319
+ {%- else -%}
320
+ {{- item['text'] | trim -}}
321
+ {%- endif -%}
322
+ {%- elif item['type'] == 'image' -%}
323
+ {{- '<|image|>' -}}
324
+ {%- set ns.prev_message_type = 'image' -%}
325
+ {%- elif item['type'] == 'audio' -%}
326
+ {{- '<|audio|>' -}}
327
+ {%- set ns.prev_message_type = 'audio' -%}
328
+ {%- elif item['type'] == 'video' -%}
329
+ {{- '<|video|>' -}}
330
+ {%- set ns.prev_message_type = 'video' -%}
331
+ {%- endif -%}
332
+ {%- endfor -%}
333
+ {%- endif -%}
334
+ {%- endset -%}
335
+
336
+ {{- captured_content -}}
337
+ {%- set has_content = captured_content | trim | length > 0 -%}
338
+
339
+ {%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
340
+ {{- '<|tool_response>' -}}
341
+ {%- elif not (ns_tr_out.flag and not has_content) -%}
342
+ {{- '<turn|>\n' -}}
343
+ {%- endif -%}
344
+ {%- endif -%}
345
+ {%- endfor -%}
346
+
347
+ {%- if add_generation_prompt -%}
348
+ {%- if ns.prev_message_type != 'tool_response' and ns.prev_message_type != 'tool_call' -%}
349
+ {{- '<|turn>model\n' -}}
350
+ {%- if not enable_thinking | default(false) -%}
351
+ {{- '<|channel>thought\n<channel|>' -}}
352
+ {%- endif -%}
353
+ {%- endif -%}
354
+ {%- endif -%}
config.json ADDED
@@ -0,0 +1,114 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma4ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attention_k_eq_v": true,
8
+ "bos_token_id": 2,
9
+ "dtype": "float32",
10
+ "enable_moe_block": false,
11
+ "eos_token_id": 1,
12
+ "expert_intermediate_size": null,
13
+ "final_logit_softcapping": 30.0,
14
+ "global_head_dim": 512,
15
+ "head_dim": 256,
16
+ "hidden_activation": "gelu_pytorch_tanh",
17
+ "hidden_size": 5376,
18
+ "hidden_size_per_layer_input": 0,
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 21504,
21
+ "layer_types": [
22
+ "sliding_attention",
23
+ "sliding_attention",
24
+ "sliding_attention",
25
+ "sliding_attention",
26
+ "sliding_attention",
27
+ "full_attention",
28
+ "sliding_attention",
29
+ "sliding_attention",
30
+ "sliding_attention",
31
+ "sliding_attention",
32
+ "sliding_attention",
33
+ "full_attention",
34
+ "sliding_attention",
35
+ "sliding_attention",
36
+ "sliding_attention",
37
+ "sliding_attention",
38
+ "sliding_attention",
39
+ "full_attention",
40
+ "sliding_attention",
41
+ "sliding_attention",
42
+ "sliding_attention",
43
+ "sliding_attention",
44
+ "sliding_attention",
45
+ "full_attention",
46
+ "sliding_attention",
47
+ "sliding_attention",
48
+ "sliding_attention",
49
+ "sliding_attention",
50
+ "sliding_attention",
51
+ "full_attention",
52
+ "sliding_attention",
53
+ "sliding_attention",
54
+ "sliding_attention",
55
+ "sliding_attention",
56
+ "sliding_attention",
57
+ "full_attention",
58
+ "sliding_attention",
59
+ "sliding_attention",
60
+ "sliding_attention",
61
+ "sliding_attention",
62
+ "sliding_attention",
63
+ "full_attention",
64
+ "sliding_attention",
65
+ "sliding_attention",
66
+ "sliding_attention",
67
+ "sliding_attention",
68
+ "sliding_attention",
69
+ "full_attention",
70
+ "sliding_attention",
71
+ "sliding_attention",
72
+ "sliding_attention",
73
+ "sliding_attention",
74
+ "sliding_attention",
75
+ "full_attention",
76
+ "sliding_attention",
77
+ "sliding_attention",
78
+ "sliding_attention",
79
+ "sliding_attention",
80
+ "sliding_attention",
81
+ "full_attention"
82
+ ],
83
+ "max_position_embeddings": 262144,
84
+ "model_type": "gemma4_text",
85
+ "moe_intermediate_size": null,
86
+ "num_attention_heads": 32,
87
+ "num_experts": null,
88
+ "num_global_key_value_heads": 4,
89
+ "num_hidden_layers": 60,
90
+ "num_key_value_heads": 16,
91
+ "num_kv_shared_layers": 0,
92
+ "pad_token_id": 0,
93
+ "rms_norm_eps": 1e-06,
94
+ "rope_parameters": {
95
+ "full_attention": {
96
+ "partial_rotary_factor": 0.25,
97
+ "rope_theta": 1000000.0,
98
+ "rope_type": "proportional"
99
+ },
100
+ "sliding_attention": {
101
+ "rope_theta": 10000.0,
102
+ "rope_type": "default"
103
+ }
104
+ },
105
+ "sliding_window": 1024,
106
+ "tie_word_embeddings": true,
107
+ "top_k_experts": null,
108
+ "transformers_version": "5.5.0",
109
+ "use_bidirectional_attention": "vision",
110
+ "use_cache": false,
111
+ "use_double_wide_mlp": false,
112
+ "vocab_size": 262144,
113
+ "vocab_size_per_layer_input": 262144
114
+ }
generation_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 2,
4
+ "eos_token_id": 1,
5
+ "output_attentions": false,
6
+ "output_hidden_states": false,
7
+ "pad_token_id": 0,
8
+ "transformers_version": "5.5.0",
9
+ "use_cache": true
10
+ }
model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f38dcec721677d382b8ac147be48ce7ea76b8b94d95858aa2a438a230a93e78d
3
+ size 49899519758
model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3dd270eb6078197e94be52e9b4178e68a2c4ad9c21fb22bc2a849ec697d16a9a
3
+ size 49987959420
model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0571f709c1bec1d235ff118cb051acc23c7bc8ce28d0f779bc5adba7b190ebc4
3
+ size 28539143502
model.safetensors.index.json ADDED
@@ -0,0 +1,841 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 4013328928,
4
+ "total_size": 128426525816
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00003-of-00003.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00003.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
10
+ "model.layers.0.layer_scalar": "model-00001-of-00003.safetensors",
11
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
12
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
13
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
14
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
15
+ "model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
16
+ "model.layers.0.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
17
+ "model.layers.0.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
18
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
19
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
20
+ "model.layers.0.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
21
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
22
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
23
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
24
+ "model.layers.1.layer_scalar": "model-00001-of-00003.safetensors",
25
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
26
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
27
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
28
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
29
+ "model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
30
+ "model.layers.1.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
31
+ "model.layers.1.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
32
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
33
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
34
+ "model.layers.1.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
35
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
36
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
37
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00003.safetensors",
38
+ "model.layers.10.layer_scalar": "model-00001-of-00003.safetensors",
39
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
40
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
41
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
42
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
43
+ "model.layers.10.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
44
+ "model.layers.10.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
45
+ "model.layers.10.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
46
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
47
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
48
+ "model.layers.10.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
49
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
50
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
51
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00003.safetensors",
52
+ "model.layers.11.layer_scalar": "model-00001-of-00003.safetensors",
53
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
54
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
55
+ "model.layers.11.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
56
+ "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
57
+ "model.layers.11.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
58
+ "model.layers.11.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
59
+ "model.layers.11.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
60
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
61
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
62
+ "model.layers.11.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
63
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
64
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00003.safetensors",
65
+ "model.layers.12.layer_scalar": "model-00001-of-00003.safetensors",
66
+ "model.layers.12.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
67
+ "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
68
+ "model.layers.12.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
69
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
70
+ "model.layers.12.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
71
+ "model.layers.12.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
72
+ "model.layers.12.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
73
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
74
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
75
+ "model.layers.12.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
76
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
77
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
78
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00003.safetensors",
79
+ "model.layers.13.layer_scalar": "model-00001-of-00003.safetensors",
80
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
81
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
82
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
83
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
84
+ "model.layers.13.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
85
+ "model.layers.13.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
86
+ "model.layers.13.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
87
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
88
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
89
+ "model.layers.13.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
90
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
91
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
92
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00003.safetensors",
93
+ "model.layers.14.layer_scalar": "model-00001-of-00003.safetensors",
94
+ "model.layers.14.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
95
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
96
+ "model.layers.14.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
97
+ "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
98
+ "model.layers.14.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
99
+ "model.layers.14.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
100
+ "model.layers.14.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
101
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
102
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
103
+ "model.layers.14.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
104
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
105
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
106
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00003.safetensors",
107
+ "model.layers.15.layer_scalar": "model-00001-of-00003.safetensors",
108
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
109
+ "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
110
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
111
+ "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
112
+ "model.layers.15.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
113
+ "model.layers.15.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
114
+ "model.layers.15.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
115
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
116
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
117
+ "model.layers.15.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
118
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
119
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
120
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00003.safetensors",
121
+ "model.layers.16.layer_scalar": "model-00001-of-00003.safetensors",
122
+ "model.layers.16.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
123
+ "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
124
+ "model.layers.16.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
125
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
126
+ "model.layers.16.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
127
+ "model.layers.16.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
128
+ "model.layers.16.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
129
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
130
+ "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
131
+ "model.layers.16.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
132
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
133
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
134
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00003.safetensors",
135
+ "model.layers.17.layer_scalar": "model-00001-of-00003.safetensors",
136
+ "model.layers.17.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
137
+ "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
138
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
139
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
140
+ "model.layers.17.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
141
+ "model.layers.17.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
142
+ "model.layers.17.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
143
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
144
+ "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
145
+ "model.layers.17.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
146
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
147
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00003.safetensors",
148
+ "model.layers.18.layer_scalar": "model-00001-of-00003.safetensors",
149
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
150
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
151
+ "model.layers.18.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
152
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
153
+ "model.layers.18.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
154
+ "model.layers.18.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
155
+ "model.layers.18.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
156
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
157
+ "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
158
+ "model.layers.18.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
159
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
160
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
161
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00003.safetensors",
162
+ "model.layers.19.layer_scalar": "model-00001-of-00003.safetensors",
163
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
164
+ "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
165
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
166
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
167
+ "model.layers.19.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
168
+ "model.layers.19.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
169
+ "model.layers.19.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
170
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
171
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
172
+ "model.layers.19.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
173
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
174
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
175
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
176
+ "model.layers.2.layer_scalar": "model-00001-of-00003.safetensors",
177
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
178
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
179
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
180
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
181
+ "model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
182
+ "model.layers.2.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
183
+ "model.layers.2.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
184
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
185
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
186
+ "model.layers.2.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
187
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
188
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
189
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00003.safetensors",
190
+ "model.layers.20.layer_scalar": "model-00001-of-00003.safetensors",
191
+ "model.layers.20.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
192
+ "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
193
+ "model.layers.20.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
194
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
195
+ "model.layers.20.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
196
+ "model.layers.20.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
197
+ "model.layers.20.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
198
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
199
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
200
+ "model.layers.20.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
201
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
202
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
203
+ "model.layers.21.input_layernorm.weight": "model-00001-of-00003.safetensors",
204
+ "model.layers.21.layer_scalar": "model-00001-of-00003.safetensors",
205
+ "model.layers.21.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
206
+ "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
207
+ "model.layers.21.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
208
+ "model.layers.21.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
209
+ "model.layers.21.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
210
+ "model.layers.21.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
211
+ "model.layers.21.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
212
+ "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
213
+ "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
214
+ "model.layers.21.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
215
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
216
+ "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
217
+ "model.layers.22.input_layernorm.weight": "model-00002-of-00003.safetensors",
218
+ "model.layers.22.layer_scalar": "model-00001-of-00003.safetensors",
219
+ "model.layers.22.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
220
+ "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
221
+ "model.layers.22.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
222
+ "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
223
+ "model.layers.22.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
224
+ "model.layers.22.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
225
+ "model.layers.22.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
226
+ "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
227
+ "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
228
+ "model.layers.22.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
229
+ "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
230
+ "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
231
+ "model.layers.23.input_layernorm.weight": "model-00002-of-00003.safetensors",
232
+ "model.layers.23.layer_scalar": "model-00002-of-00003.safetensors",
233
+ "model.layers.23.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
234
+ "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
235
+ "model.layers.23.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
236
+ "model.layers.23.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
237
+ "model.layers.23.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
238
+ "model.layers.23.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
239
+ "model.layers.23.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
240
+ "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
241
+ "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
242
+ "model.layers.23.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
243
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
244
+ "model.layers.24.input_layernorm.weight": "model-00002-of-00003.safetensors",
245
+ "model.layers.24.layer_scalar": "model-00002-of-00003.safetensors",
246
+ "model.layers.24.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
247
+ "model.layers.24.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
248
+ "model.layers.24.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
249
+ "model.layers.24.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
250
+ "model.layers.24.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
251
+ "model.layers.24.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
252
+ "model.layers.24.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
253
+ "model.layers.24.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
254
+ "model.layers.24.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
255
+ "model.layers.24.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
256
+ "model.layers.24.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
257
+ "model.layers.24.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
258
+ "model.layers.25.input_layernorm.weight": "model-00002-of-00003.safetensors",
259
+ "model.layers.25.layer_scalar": "model-00002-of-00003.safetensors",
260
+ "model.layers.25.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
261
+ "model.layers.25.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
262
+ "model.layers.25.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
263
+ "model.layers.25.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
264
+ "model.layers.25.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
265
+ "model.layers.25.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
266
+ "model.layers.25.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
267
+ "model.layers.25.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
268
+ "model.layers.25.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
269
+ "model.layers.25.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
270
+ "model.layers.25.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
271
+ "model.layers.25.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
272
+ "model.layers.26.input_layernorm.weight": "model-00002-of-00003.safetensors",
273
+ "model.layers.26.layer_scalar": "model-00002-of-00003.safetensors",
274
+ "model.layers.26.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
275
+ "model.layers.26.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
276
+ "model.layers.26.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
277
+ "model.layers.26.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
278
+ "model.layers.26.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
279
+ "model.layers.26.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
280
+ "model.layers.26.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
281
+ "model.layers.26.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
282
+ "model.layers.26.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
283
+ "model.layers.26.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
284
+ "model.layers.26.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
285
+ "model.layers.26.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
286
+ "model.layers.27.input_layernorm.weight": "model-00002-of-00003.safetensors",
287
+ "model.layers.27.layer_scalar": "model-00002-of-00003.safetensors",
288
+ "model.layers.27.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
289
+ "model.layers.27.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
290
+ "model.layers.27.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
291
+ "model.layers.27.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
292
+ "model.layers.27.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
293
+ "model.layers.27.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
294
+ "model.layers.27.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
295
+ "model.layers.27.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
296
+ "model.layers.27.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
297
+ "model.layers.27.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
298
+ "model.layers.27.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
299
+ "model.layers.27.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
300
+ "model.layers.28.input_layernorm.weight": "model-00002-of-00003.safetensors",
301
+ "model.layers.28.layer_scalar": "model-00002-of-00003.safetensors",
302
+ "model.layers.28.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
303
+ "model.layers.28.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
304
+ "model.layers.28.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
305
+ "model.layers.28.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
306
+ "model.layers.28.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
307
+ "model.layers.28.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
308
+ "model.layers.28.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
309
+ "model.layers.28.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
310
+ "model.layers.28.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
311
+ "model.layers.28.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
312
+ "model.layers.28.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
313
+ "model.layers.28.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
314
+ "model.layers.29.input_layernorm.weight": "model-00002-of-00003.safetensors",
315
+ "model.layers.29.layer_scalar": "model-00002-of-00003.safetensors",
316
+ "model.layers.29.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
317
+ "model.layers.29.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
318
+ "model.layers.29.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
319
+ "model.layers.29.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
320
+ "model.layers.29.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
321
+ "model.layers.29.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
322
+ "model.layers.29.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
323
+ "model.layers.29.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
324
+ "model.layers.29.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
325
+ "model.layers.29.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
326
+ "model.layers.29.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
327
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
328
+ "model.layers.3.layer_scalar": "model-00001-of-00003.safetensors",
329
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
330
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
331
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
332
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
333
+ "model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
334
+ "model.layers.3.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
335
+ "model.layers.3.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
336
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
337
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
338
+ "model.layers.3.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
339
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
340
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
341
+ "model.layers.30.input_layernorm.weight": "model-00002-of-00003.safetensors",
342
+ "model.layers.30.layer_scalar": "model-00002-of-00003.safetensors",
343
+ "model.layers.30.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
344
+ "model.layers.30.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
345
+ "model.layers.30.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
346
+ "model.layers.30.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
347
+ "model.layers.30.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
348
+ "model.layers.30.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
349
+ "model.layers.30.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
350
+ "model.layers.30.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
351
+ "model.layers.30.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
352
+ "model.layers.30.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
353
+ "model.layers.30.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
354
+ "model.layers.30.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
355
+ "model.layers.31.input_layernorm.weight": "model-00002-of-00003.safetensors",
356
+ "model.layers.31.layer_scalar": "model-00002-of-00003.safetensors",
357
+ "model.layers.31.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
358
+ "model.layers.31.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
359
+ "model.layers.31.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
360
+ "model.layers.31.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
361
+ "model.layers.31.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
362
+ "model.layers.31.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
363
+ "model.layers.31.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
364
+ "model.layers.31.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
365
+ "model.layers.31.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
366
+ "model.layers.31.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
367
+ "model.layers.31.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
368
+ "model.layers.31.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
369
+ "model.layers.32.input_layernorm.weight": "model-00002-of-00003.safetensors",
370
+ "model.layers.32.layer_scalar": "model-00002-of-00003.safetensors",
371
+ "model.layers.32.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
372
+ "model.layers.32.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
373
+ "model.layers.32.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
374
+ "model.layers.32.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
375
+ "model.layers.32.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
376
+ "model.layers.32.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
377
+ "model.layers.32.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
378
+ "model.layers.32.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
379
+ "model.layers.32.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
380
+ "model.layers.32.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
381
+ "model.layers.32.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
382
+ "model.layers.32.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
383
+ "model.layers.33.input_layernorm.weight": "model-00002-of-00003.safetensors",
384
+ "model.layers.33.layer_scalar": "model-00002-of-00003.safetensors",
385
+ "model.layers.33.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
386
+ "model.layers.33.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
387
+ "model.layers.33.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
388
+ "model.layers.33.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
389
+ "model.layers.33.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
390
+ "model.layers.33.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
391
+ "model.layers.33.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
392
+ "model.layers.33.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
393
+ "model.layers.33.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
394
+ "model.layers.33.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
395
+ "model.layers.33.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
396
+ "model.layers.33.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
397
+ "model.layers.34.input_layernorm.weight": "model-00002-of-00003.safetensors",
398
+ "model.layers.34.layer_scalar": "model-00002-of-00003.safetensors",
399
+ "model.layers.34.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
400
+ "model.layers.34.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
401
+ "model.layers.34.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
402
+ "model.layers.34.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
403
+ "model.layers.34.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
404
+ "model.layers.34.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
405
+ "model.layers.34.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
406
+ "model.layers.34.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
407
+ "model.layers.34.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
408
+ "model.layers.34.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
409
+ "model.layers.34.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
410
+ "model.layers.34.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
411
+ "model.layers.35.input_layernorm.weight": "model-00002-of-00003.safetensors",
412
+ "model.layers.35.layer_scalar": "model-00002-of-00003.safetensors",
413
+ "model.layers.35.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
414
+ "model.layers.35.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
415
+ "model.layers.35.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
416
+ "model.layers.35.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
417
+ "model.layers.35.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
418
+ "model.layers.35.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
419
+ "model.layers.35.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
420
+ "model.layers.35.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
421
+ "model.layers.35.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
422
+ "model.layers.35.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
423
+ "model.layers.35.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
424
+ "model.layers.36.input_layernorm.weight": "model-00002-of-00003.safetensors",
425
+ "model.layers.36.layer_scalar": "model-00002-of-00003.safetensors",
426
+ "model.layers.36.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
427
+ "model.layers.36.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
428
+ "model.layers.36.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
429
+ "model.layers.36.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
430
+ "model.layers.36.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
431
+ "model.layers.36.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
432
+ "model.layers.36.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
433
+ "model.layers.36.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
434
+ "model.layers.36.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
435
+ "model.layers.36.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
436
+ "model.layers.36.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
437
+ "model.layers.36.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
438
+ "model.layers.37.input_layernorm.weight": "model-00002-of-00003.safetensors",
439
+ "model.layers.37.layer_scalar": "model-00002-of-00003.safetensors",
440
+ "model.layers.37.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
441
+ "model.layers.37.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
442
+ "model.layers.37.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
443
+ "model.layers.37.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
444
+ "model.layers.37.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
445
+ "model.layers.37.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
446
+ "model.layers.37.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
447
+ "model.layers.37.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
448
+ "model.layers.37.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
449
+ "model.layers.37.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
450
+ "model.layers.37.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
451
+ "model.layers.37.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
452
+ "model.layers.38.input_layernorm.weight": "model-00002-of-00003.safetensors",
453
+ "model.layers.38.layer_scalar": "model-00002-of-00003.safetensors",
454
+ "model.layers.38.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
455
+ "model.layers.38.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
456
+ "model.layers.38.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
457
+ "model.layers.38.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
458
+ "model.layers.38.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
459
+ "model.layers.38.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
460
+ "model.layers.38.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
461
+ "model.layers.38.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
462
+ "model.layers.38.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
463
+ "model.layers.38.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
464
+ "model.layers.38.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
465
+ "model.layers.38.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
466
+ "model.layers.39.input_layernorm.weight": "model-00002-of-00003.safetensors",
467
+ "model.layers.39.layer_scalar": "model-00002-of-00003.safetensors",
468
+ "model.layers.39.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
469
+ "model.layers.39.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
470
+ "model.layers.39.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
471
+ "model.layers.39.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
472
+ "model.layers.39.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
473
+ "model.layers.39.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
474
+ "model.layers.39.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
475
+ "model.layers.39.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
476
+ "model.layers.39.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
477
+ "model.layers.39.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
478
+ "model.layers.39.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
479
+ "model.layers.39.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
480
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
481
+ "model.layers.4.layer_scalar": "model-00001-of-00003.safetensors",
482
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
483
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
484
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
485
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
486
+ "model.layers.4.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
487
+ "model.layers.4.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
488
+ "model.layers.4.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
489
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
490
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
491
+ "model.layers.4.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
492
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
493
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
494
+ "model.layers.40.input_layernorm.weight": "model-00002-of-00003.safetensors",
495
+ "model.layers.40.layer_scalar": "model-00002-of-00003.safetensors",
496
+ "model.layers.40.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
497
+ "model.layers.40.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
498
+ "model.layers.40.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
499
+ "model.layers.40.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
500
+ "model.layers.40.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
501
+ "model.layers.40.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
502
+ "model.layers.40.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
503
+ "model.layers.40.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
504
+ "model.layers.40.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
505
+ "model.layers.40.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
506
+ "model.layers.40.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
507
+ "model.layers.40.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
508
+ "model.layers.41.input_layernorm.weight": "model-00002-of-00003.safetensors",
509
+ "model.layers.41.layer_scalar": "model-00002-of-00003.safetensors",
510
+ "model.layers.41.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
511
+ "model.layers.41.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
512
+ "model.layers.41.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
513
+ "model.layers.41.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
514
+ "model.layers.41.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
515
+ "model.layers.41.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
516
+ "model.layers.41.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
517
+ "model.layers.41.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
518
+ "model.layers.41.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
519
+ "model.layers.41.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
520
+ "model.layers.41.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
521
+ "model.layers.42.input_layernorm.weight": "model-00002-of-00003.safetensors",
522
+ "model.layers.42.layer_scalar": "model-00002-of-00003.safetensors",
523
+ "model.layers.42.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
524
+ "model.layers.42.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
525
+ "model.layers.42.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
526
+ "model.layers.42.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
527
+ "model.layers.42.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
528
+ "model.layers.42.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
529
+ "model.layers.42.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
530
+ "model.layers.42.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
531
+ "model.layers.42.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
532
+ "model.layers.42.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
533
+ "model.layers.42.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
534
+ "model.layers.42.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
535
+ "model.layers.43.input_layernorm.weight": "model-00002-of-00003.safetensors",
536
+ "model.layers.43.layer_scalar": "model-00002-of-00003.safetensors",
537
+ "model.layers.43.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
538
+ "model.layers.43.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
539
+ "model.layers.43.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
540
+ "model.layers.43.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
541
+ "model.layers.43.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
542
+ "model.layers.43.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
543
+ "model.layers.43.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
544
+ "model.layers.43.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
545
+ "model.layers.43.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
546
+ "model.layers.43.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
547
+ "model.layers.43.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
548
+ "model.layers.43.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
549
+ "model.layers.44.input_layernorm.weight": "model-00002-of-00003.safetensors",
550
+ "model.layers.44.layer_scalar": "model-00002-of-00003.safetensors",
551
+ "model.layers.44.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
552
+ "model.layers.44.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
553
+ "model.layers.44.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
554
+ "model.layers.44.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
555
+ "model.layers.44.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
556
+ "model.layers.44.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
557
+ "model.layers.44.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
558
+ "model.layers.44.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
559
+ "model.layers.44.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
560
+ "model.layers.44.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
561
+ "model.layers.44.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
562
+ "model.layers.44.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
563
+ "model.layers.45.input_layernorm.weight": "model-00002-of-00003.safetensors",
564
+ "model.layers.45.layer_scalar": "model-00002-of-00003.safetensors",
565
+ "model.layers.45.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
566
+ "model.layers.45.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
567
+ "model.layers.45.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
568
+ "model.layers.45.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
569
+ "model.layers.45.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
570
+ "model.layers.45.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
571
+ "model.layers.45.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
572
+ "model.layers.45.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
573
+ "model.layers.45.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
574
+ "model.layers.45.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
575
+ "model.layers.45.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
576
+ "model.layers.45.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
577
+ "model.layers.46.input_layernorm.weight": "model-00002-of-00003.safetensors",
578
+ "model.layers.46.layer_scalar": "model-00002-of-00003.safetensors",
579
+ "model.layers.46.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
580
+ "model.layers.46.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
581
+ "model.layers.46.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
582
+ "model.layers.46.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
583
+ "model.layers.46.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
584
+ "model.layers.46.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
585
+ "model.layers.46.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
586
+ "model.layers.46.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
587
+ "model.layers.46.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
588
+ "model.layers.46.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
589
+ "model.layers.46.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
590
+ "model.layers.46.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
591
+ "model.layers.47.input_layernorm.weight": "model-00002-of-00003.safetensors",
592
+ "model.layers.47.layer_scalar": "model-00002-of-00003.safetensors",
593
+ "model.layers.47.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
594
+ "model.layers.47.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
595
+ "model.layers.47.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
596
+ "model.layers.47.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
597
+ "model.layers.47.post_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
598
+ "model.layers.47.pre_feedforward_layernorm.weight": "model-00002-of-00003.safetensors",
599
+ "model.layers.47.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
600
+ "model.layers.47.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
601
+ "model.layers.47.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
602
+ "model.layers.47.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
603
+ "model.layers.47.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
604
+ "model.layers.48.input_layernorm.weight": "model-00003-of-00003.safetensors",
605
+ "model.layers.48.layer_scalar": "model-00002-of-00003.safetensors",
606
+ "model.layers.48.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
607
+ "model.layers.48.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
608
+ "model.layers.48.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
609
+ "model.layers.48.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
610
+ "model.layers.48.post_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
611
+ "model.layers.48.pre_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
612
+ "model.layers.48.self_attn.k_norm.weight": "model-00002-of-00003.safetensors",
613
+ "model.layers.48.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
614
+ "model.layers.48.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
615
+ "model.layers.48.self_attn.q_norm.weight": "model-00002-of-00003.safetensors",
616
+ "model.layers.48.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
617
+ "model.layers.48.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
618
+ "model.layers.49.input_layernorm.weight": "model-00003-of-00003.safetensors",
619
+ "model.layers.49.layer_scalar": "model-00003-of-00003.safetensors",
620
+ "model.layers.49.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
621
+ "model.layers.49.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
622
+ "model.layers.49.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
623
+ "model.layers.49.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
624
+ "model.layers.49.post_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
625
+ "model.layers.49.pre_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
626
+ "model.layers.49.self_attn.k_norm.weight": "model-00003-of-00003.safetensors",
627
+ "model.layers.49.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
628
+ "model.layers.49.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
629
+ "model.layers.49.self_attn.q_norm.weight": "model-00003-of-00003.safetensors",
630
+ "model.layers.49.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
631
+ "model.layers.49.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
632
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
633
+ "model.layers.5.layer_scalar": "model-00001-of-00003.safetensors",
634
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
635
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
636
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
637
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
638
+ "model.layers.5.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
639
+ "model.layers.5.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
640
+ "model.layers.5.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
641
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
642
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
643
+ "model.layers.5.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
644
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
645
+ "model.layers.50.input_layernorm.weight": "model-00003-of-00003.safetensors",
646
+ "model.layers.50.layer_scalar": "model-00003-of-00003.safetensors",
647
+ "model.layers.50.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
648
+ "model.layers.50.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
649
+ "model.layers.50.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
650
+ "model.layers.50.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
651
+ "model.layers.50.post_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
652
+ "model.layers.50.pre_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
653
+ "model.layers.50.self_attn.k_norm.weight": "model-00003-of-00003.safetensors",
654
+ "model.layers.50.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
655
+ "model.layers.50.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
656
+ "model.layers.50.self_attn.q_norm.weight": "model-00003-of-00003.safetensors",
657
+ "model.layers.50.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
658
+ "model.layers.50.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
659
+ "model.layers.51.input_layernorm.weight": "model-00003-of-00003.safetensors",
660
+ "model.layers.51.layer_scalar": "model-00003-of-00003.safetensors",
661
+ "model.layers.51.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
662
+ "model.layers.51.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
663
+ "model.layers.51.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
664
+ "model.layers.51.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
665
+ "model.layers.51.post_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
666
+ "model.layers.51.pre_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
667
+ "model.layers.51.self_attn.k_norm.weight": "model-00003-of-00003.safetensors",
668
+ "model.layers.51.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
669
+ "model.layers.51.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
670
+ "model.layers.51.self_attn.q_norm.weight": "model-00003-of-00003.safetensors",
671
+ "model.layers.51.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
672
+ "model.layers.51.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
673
+ "model.layers.52.input_layernorm.weight": "model-00003-of-00003.safetensors",
674
+ "model.layers.52.layer_scalar": "model-00003-of-00003.safetensors",
675
+ "model.layers.52.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
676
+ "model.layers.52.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
677
+ "model.layers.52.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
678
+ "model.layers.52.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
679
+ "model.layers.52.post_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
680
+ "model.layers.52.pre_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
681
+ "model.layers.52.self_attn.k_norm.weight": "model-00003-of-00003.safetensors",
682
+ "model.layers.52.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
683
+ "model.layers.52.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
684
+ "model.layers.52.self_attn.q_norm.weight": "model-00003-of-00003.safetensors",
685
+ "model.layers.52.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
686
+ "model.layers.52.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
687
+ "model.layers.53.input_layernorm.weight": "model-00003-of-00003.safetensors",
688
+ "model.layers.53.layer_scalar": "model-00003-of-00003.safetensors",
689
+ "model.layers.53.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
690
+ "model.layers.53.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
691
+ "model.layers.53.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
692
+ "model.layers.53.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
693
+ "model.layers.53.post_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
694
+ "model.layers.53.pre_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
695
+ "model.layers.53.self_attn.k_norm.weight": "model-00003-of-00003.safetensors",
696
+ "model.layers.53.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
697
+ "model.layers.53.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
698
+ "model.layers.53.self_attn.q_norm.weight": "model-00003-of-00003.safetensors",
699
+ "model.layers.53.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
700
+ "model.layers.54.input_layernorm.weight": "model-00003-of-00003.safetensors",
701
+ "model.layers.54.layer_scalar": "model-00003-of-00003.safetensors",
702
+ "model.layers.54.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
703
+ "model.layers.54.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
704
+ "model.layers.54.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
705
+ "model.layers.54.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
706
+ "model.layers.54.post_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
707
+ "model.layers.54.pre_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
708
+ "model.layers.54.self_attn.k_norm.weight": "model-00003-of-00003.safetensors",
709
+ "model.layers.54.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
710
+ "model.layers.54.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
711
+ "model.layers.54.self_attn.q_norm.weight": "model-00003-of-00003.safetensors",
712
+ "model.layers.54.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
713
+ "model.layers.54.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
714
+ "model.layers.55.input_layernorm.weight": "model-00003-of-00003.safetensors",
715
+ "model.layers.55.layer_scalar": "model-00003-of-00003.safetensors",
716
+ "model.layers.55.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
717
+ "model.layers.55.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
718
+ "model.layers.55.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
719
+ "model.layers.55.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
720
+ "model.layers.55.post_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
721
+ "model.layers.55.pre_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
722
+ "model.layers.55.self_attn.k_norm.weight": "model-00003-of-00003.safetensors",
723
+ "model.layers.55.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
724
+ "model.layers.55.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
725
+ "model.layers.55.self_attn.q_norm.weight": "model-00003-of-00003.safetensors",
726
+ "model.layers.55.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
727
+ "model.layers.55.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
728
+ "model.layers.56.input_layernorm.weight": "model-00003-of-00003.safetensors",
729
+ "model.layers.56.layer_scalar": "model-00003-of-00003.safetensors",
730
+ "model.layers.56.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
731
+ "model.layers.56.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
732
+ "model.layers.56.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
733
+ "model.layers.56.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
734
+ "model.layers.56.post_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
735
+ "model.layers.56.pre_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
736
+ "model.layers.56.self_attn.k_norm.weight": "model-00003-of-00003.safetensors",
737
+ "model.layers.56.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
738
+ "model.layers.56.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
739
+ "model.layers.56.self_attn.q_norm.weight": "model-00003-of-00003.safetensors",
740
+ "model.layers.56.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
741
+ "model.layers.56.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
742
+ "model.layers.57.input_layernorm.weight": "model-00003-of-00003.safetensors",
743
+ "model.layers.57.layer_scalar": "model-00003-of-00003.safetensors",
744
+ "model.layers.57.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
745
+ "model.layers.57.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
746
+ "model.layers.57.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
747
+ "model.layers.57.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
748
+ "model.layers.57.post_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
749
+ "model.layers.57.pre_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
750
+ "model.layers.57.self_attn.k_norm.weight": "model-00003-of-00003.safetensors",
751
+ "model.layers.57.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
752
+ "model.layers.57.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
753
+ "model.layers.57.self_attn.q_norm.weight": "model-00003-of-00003.safetensors",
754
+ "model.layers.57.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
755
+ "model.layers.57.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
756
+ "model.layers.58.input_layernorm.weight": "model-00003-of-00003.safetensors",
757
+ "model.layers.58.layer_scalar": "model-00003-of-00003.safetensors",
758
+ "model.layers.58.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
759
+ "model.layers.58.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
760
+ "model.layers.58.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
761
+ "model.layers.58.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
762
+ "model.layers.58.post_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
763
+ "model.layers.58.pre_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
764
+ "model.layers.58.self_attn.k_norm.weight": "model-00003-of-00003.safetensors",
765
+ "model.layers.58.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
766
+ "model.layers.58.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
767
+ "model.layers.58.self_attn.q_norm.weight": "model-00003-of-00003.safetensors",
768
+ "model.layers.58.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
769
+ "model.layers.58.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
770
+ "model.layers.59.input_layernorm.weight": "model-00003-of-00003.safetensors",
771
+ "model.layers.59.layer_scalar": "model-00003-of-00003.safetensors",
772
+ "model.layers.59.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
773
+ "model.layers.59.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
774
+ "model.layers.59.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
775
+ "model.layers.59.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
776
+ "model.layers.59.post_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
777
+ "model.layers.59.pre_feedforward_layernorm.weight": "model-00003-of-00003.safetensors",
778
+ "model.layers.59.self_attn.k_norm.weight": "model-00003-of-00003.safetensors",
779
+ "model.layers.59.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
780
+ "model.layers.59.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
781
+ "model.layers.59.self_attn.q_norm.weight": "model-00003-of-00003.safetensors",
782
+ "model.layers.59.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
783
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
784
+ "model.layers.6.layer_scalar": "model-00001-of-00003.safetensors",
785
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
786
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
787
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
788
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
789
+ "model.layers.6.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
790
+ "model.layers.6.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
791
+ "model.layers.6.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
792
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
793
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
794
+ "model.layers.6.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
795
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
796
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
797
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
798
+ "model.layers.7.layer_scalar": "model-00001-of-00003.safetensors",
799
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
800
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
801
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
802
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
803
+ "model.layers.7.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
804
+ "model.layers.7.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
805
+ "model.layers.7.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
806
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
807
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
808
+ "model.layers.7.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
809
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
810
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
811
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
812
+ "model.layers.8.layer_scalar": "model-00001-of-00003.safetensors",
813
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
814
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
815
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
816
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
817
+ "model.layers.8.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
818
+ "model.layers.8.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
819
+ "model.layers.8.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
820
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
821
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
822
+ "model.layers.8.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
823
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
824
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
825
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
826
+ "model.layers.9.layer_scalar": "model-00001-of-00003.safetensors",
827
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
828
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
829
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
830
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
831
+ "model.layers.9.post_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
832
+ "model.layers.9.pre_feedforward_layernorm.weight": "model-00001-of-00003.safetensors",
833
+ "model.layers.9.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
834
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
835
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
836
+ "model.layers.9.self_attn.q_norm.weight": "model-00001-of-00003.safetensors",
837
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
838
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
839
+ "model.norm.weight": "model-00003-of-00003.safetensors"
840
+ }
841
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
3
+ size 32169626
tokenizer_config.json ADDED
@@ -0,0 +1,95 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "audio_token": "<|audio|>",
3
+ "backend": "tokenizers",
4
+ "boa_token": "<|audio>",
5
+ "boi_token": "<|image>",
6
+ "bos_token": "<bos>",
7
+ "eoa_token": "<audio|>",
8
+ "eoc_token": "<channel|>",
9
+ "eoi_token": "<image|>",
10
+ "eos_token": "<eos>",
11
+ "eot_token": "<turn|>",
12
+ "escape_token": "<|\"|>",
13
+ "etc_token": "<tool_call|>",
14
+ "etd_token": "<tool|>",
15
+ "etr_token": "<tool_response|>",
16
+ "extra_special_tokens": [
17
+ "<|video|>"
18
+ ],
19
+ "image_token": "<|image|>",
20
+ "is_local": true,
21
+ "mask_token": "<mask>",
22
+ "model_max_length": 1000000000000000019884624838656,
23
+ "model_specific_special_tokens": {
24
+ "audio_token": "<|audio|>",
25
+ "boa_token": "<|audio>",
26
+ "boi_token": "<|image>",
27
+ "eoa_token": "<audio|>",
28
+ "eoc_token": "<channel|>",
29
+ "eoi_token": "<image|>",
30
+ "eot_token": "<turn|>",
31
+ "escape_token": "<|\"|>",
32
+ "etc_token": "<tool_call|>",
33
+ "etd_token": "<tool|>",
34
+ "etr_token": "<tool_response|>",
35
+ "image_token": "<|image|>",
36
+ "soc_token": "<|channel>",
37
+ "sot_token": "<|turn>",
38
+ "stc_token": "<|tool_call>",
39
+ "std_token": "<|tool>",
40
+ "str_token": "<|tool_response>",
41
+ "think_token": "<|think|>"
42
+ },
43
+ "pad_token": "<pad>",
44
+ "padding_side": "left",
45
+ "processor_class": "Gemma4Processor",
46
+ "response_schema": {
47
+ "properties": {
48
+ "content": {
49
+ "type": "string"
50
+ },
51
+ "role": {
52
+ "const": "assistant"
53
+ },
54
+ "thinking": {
55
+ "type": "string"
56
+ },
57
+ "tool_calls": {
58
+ "items": {
59
+ "properties": {
60
+ "function": {
61
+ "properties": {
62
+ "arguments": {
63
+ "additionalProperties": {},
64
+ "type": "object",
65
+ "x-parser": "gemma4-tool-call"
66
+ },
67
+ "name": {
68
+ "type": "string"
69
+ }
70
+ },
71
+ "type": "object",
72
+ "x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})"
73
+ },
74
+ "type": {
75
+ "const": "function"
76
+ }
77
+ },
78
+ "type": "object"
79
+ },
80
+ "type": "array",
81
+ "x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>"
82
+ }
83
+ },
84
+ "type": "object",
85
+ "x-regex": "(\\<\\|channel\\>thought\\n(?P<thinking>.*?)\\<channel\\|\\>)?(?P<tool_calls>\\<\\|tool_call\\>.*\\<tool_call\\|\\>)?(?P<content>(?:(?!\\<turn\\|\\>)(?!\\<\\|tool_response\\>).)+)?(?:\\<turn\\|\\>|\\<\\|tool_response\\>)?"
86
+ },
87
+ "soc_token": "<|channel>",
88
+ "sot_token": "<|turn>",
89
+ "stc_token": "<|tool_call>",
90
+ "std_token": "<|tool>",
91
+ "str_token": "<|tool_response>",
92
+ "think_token": "<|think|>",
93
+ "tokenizer_class": "GemmaTokenizer",
94
+ "unk_token": "<unk>"
95
+ }
trainer_state.json ADDED
@@ -0,0 +1,3604 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 510,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.00196078431372549,
14
+ "grad_norm": 138868.515625,
15
+ "learning_rate": 0.0,
16
+ "loss": 17.658615112304688,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.00392156862745098,
21
+ "grad_norm": 14902.44140625,
22
+ "learning_rate": 3.2258064516129035e-07,
23
+ "loss": 15.435331344604492,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.0058823529411764705,
28
+ "grad_norm": 18682.611328125,
29
+ "learning_rate": 6.451612903225807e-07,
30
+ "loss": 17.053977966308594,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.00784313725490196,
35
+ "grad_norm": 25779.986328125,
36
+ "learning_rate": 9.67741935483871e-07,
37
+ "loss": 17.117534637451172,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.00980392156862745,
42
+ "grad_norm": 15318.7373046875,
43
+ "learning_rate": 1.2903225806451614e-06,
44
+ "loss": 17.542219161987305,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.011764705882352941,
49
+ "grad_norm": 19811.609375,
50
+ "learning_rate": 1.6129032258064516e-06,
51
+ "loss": 17.963178634643555,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.013725490196078431,
56
+ "grad_norm": 9440.365234375,
57
+ "learning_rate": 1.935483870967742e-06,
58
+ "loss": 13.022825241088867,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.01568627450980392,
63
+ "grad_norm": 88075.3046875,
64
+ "learning_rate": 2.2580645161290324e-06,
65
+ "loss": 16.652803421020508,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.01764705882352941,
70
+ "grad_norm": 20173.8203125,
71
+ "learning_rate": 2.580645161290323e-06,
72
+ "loss": 16.681129455566406,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.0196078431372549,
77
+ "grad_norm": 20974.09765625,
78
+ "learning_rate": 2.903225806451613e-06,
79
+ "loss": 14.24374771118164,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.021568627450980392,
84
+ "grad_norm": 22168.7890625,
85
+ "learning_rate": 3.225806451612903e-06,
86
+ "loss": 13.430747985839844,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.023529411764705882,
91
+ "grad_norm": 6798.2158203125,
92
+ "learning_rate": 3.548387096774194e-06,
93
+ "loss": 13.947168350219727,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.025490196078431372,
98
+ "grad_norm": 11967.0244140625,
99
+ "learning_rate": 3.870967741935484e-06,
100
+ "loss": 15.127799034118652,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.027450980392156862,
105
+ "grad_norm": 11873.794921875,
106
+ "learning_rate": 4.193548387096774e-06,
107
+ "loss": 13.805913925170898,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.029411764705882353,
112
+ "grad_norm": 25335.591796875,
113
+ "learning_rate": 4.516129032258065e-06,
114
+ "loss": 13.47291374206543,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.03137254901960784,
119
+ "grad_norm": 21837.5234375,
120
+ "learning_rate": 4.838709677419355e-06,
121
+ "loss": 14.185405731201172,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.03333333333333333,
126
+ "grad_norm": 6198.25146484375,
127
+ "learning_rate": 5.161290322580646e-06,
128
+ "loss": 11.65322494506836,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.03529411764705882,
133
+ "grad_norm": 5560.4794921875,
134
+ "learning_rate": 5.483870967741935e-06,
135
+ "loss": 11.970712661743164,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.03725490196078431,
140
+ "grad_norm": 2361.835693359375,
141
+ "learning_rate": 5.806451612903226e-06,
142
+ "loss": 11.846226692199707,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.0392156862745098,
147
+ "grad_norm": 3759.865478515625,
148
+ "learning_rate": 6.129032258064517e-06,
149
+ "loss": 10.710617065429688,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.041176470588235294,
154
+ "grad_norm": 6874.8154296875,
155
+ "learning_rate": 6.451612903225806e-06,
156
+ "loss": 9.231167793273926,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.043137254901960784,
161
+ "grad_norm": 19366.40625,
162
+ "learning_rate": 6.774193548387097e-06,
163
+ "loss": 11.892879486083984,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.045098039215686274,
168
+ "grad_norm": 6423.419921875,
169
+ "learning_rate": 7.096774193548388e-06,
170
+ "loss": 9.792671203613281,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.047058823529411764,
175
+ "grad_norm": 3562.012451171875,
176
+ "learning_rate": 7.4193548387096784e-06,
177
+ "loss": 9.525957107543945,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.049019607843137254,
182
+ "grad_norm": 4905.87060546875,
183
+ "learning_rate": 7.741935483870968e-06,
184
+ "loss": 11.546586036682129,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.050980392156862744,
189
+ "grad_norm": 162666.359375,
190
+ "learning_rate": 8.064516129032258e-06,
191
+ "loss": 9.598024368286133,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.052941176470588235,
196
+ "grad_norm": 8230.1279296875,
197
+ "learning_rate": 8.387096774193549e-06,
198
+ "loss": 12.389551162719727,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.054901960784313725,
203
+ "grad_norm": 14983.3798828125,
204
+ "learning_rate": 8.70967741935484e-06,
205
+ "loss": 14.294782638549805,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.056862745098039215,
210
+ "grad_norm": 8721.31640625,
211
+ "learning_rate": 9.03225806451613e-06,
212
+ "loss": 10.350369453430176,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.058823529411764705,
217
+ "grad_norm": 2975.934814453125,
218
+ "learning_rate": 9.35483870967742e-06,
219
+ "loss": 9.85280704498291,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.060784313725490195,
224
+ "grad_norm": 4804.4228515625,
225
+ "learning_rate": 9.67741935483871e-06,
226
+ "loss": 8.866147994995117,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.06274509803921569,
231
+ "grad_norm": 3305.45361328125,
232
+ "learning_rate": 1e-05,
233
+ "loss": 10.436628341674805,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.06470588235294118,
238
+ "grad_norm": 11790.716796875,
239
+ "learning_rate": 9.999974774092107e-06,
240
+ "loss": 10.873075485229492,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.06666666666666667,
245
+ "grad_norm": 4500.14111328125,
246
+ "learning_rate": 9.999899096622962e-06,
247
+ "loss": 10.806778907775879,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.06862745098039216,
252
+ "grad_norm": 164.95433044433594,
253
+ "learning_rate": 9.999772968356182e-06,
254
+ "loss": 11.633756637573242,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.07058823529411765,
259
+ "grad_norm": 43294.8359375,
260
+ "learning_rate": 9.999596390564446e-06,
261
+ "loss": 9.791693687438965,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.07254901960784314,
266
+ "grad_norm": 39442.3984375,
267
+ "learning_rate": 9.999369365029487e-06,
268
+ "loss": 8.951934814453125,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.07450980392156863,
273
+ "grad_norm": 588.51171875,
274
+ "learning_rate": 9.999091894042077e-06,
275
+ "loss": 8.9212646484375,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.07647058823529412,
280
+ "grad_norm": 1923.2791748046875,
281
+ "learning_rate": 9.998763980401997e-06,
282
+ "loss": 7.225367546081543,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.0784313725490196,
287
+ "grad_norm": 657.7442016601562,
288
+ "learning_rate": 9.998385627418015e-06,
289
+ "loss": 6.479832172393799,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.0803921568627451,
294
+ "grad_norm": 136.12237548828125,
295
+ "learning_rate": 9.997956838907853e-06,
296
+ "loss": 6.8389177322387695,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.08235294117647059,
301
+ "grad_norm": 251.0398712158203,
302
+ "learning_rate": 9.997477619198138e-06,
303
+ "loss": 6.4207072257995605,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.08431372549019608,
308
+ "grad_norm": 577.7664794921875,
309
+ "learning_rate": 9.996947973124372e-06,
310
+ "loss": 7.31302547454834,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.08627450980392157,
315
+ "grad_norm": 91.31795501708984,
316
+ "learning_rate": 9.996367906030879e-06,
317
+ "loss": 6.951511383056641,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.08823529411764706,
322
+ "grad_norm": 6586.15673828125,
323
+ "learning_rate": 9.995737423770746e-06,
324
+ "loss": 6.607446670532227,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.09019607843137255,
329
+ "grad_norm": 2296.7861328125,
330
+ "learning_rate": 9.995056532705766e-06,
331
+ "loss": 5.819401264190674,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.09215686274509804,
336
+ "grad_norm": 61.191524505615234,
337
+ "learning_rate": 9.994325239706377e-06,
338
+ "loss": 5.54649019241333,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.09411764705882353,
343
+ "grad_norm": 82.74103546142578,
344
+ "learning_rate": 9.993543552151594e-06,
345
+ "loss": 5.546056747436523,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.09607843137254903,
350
+ "grad_norm": 2329.645263671875,
351
+ "learning_rate": 9.992711477928925e-06,
352
+ "loss": 6.310848712921143,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.09803921568627451,
357
+ "grad_norm": 210.10841369628906,
358
+ "learning_rate": 9.991829025434305e-06,
359
+ "loss": 4.921277046203613,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.1,
364
+ "grad_norm": 153.93605041503906,
365
+ "learning_rate": 9.990896203571994e-06,
366
+ "loss": 5.7787909507751465,
367
+ "step": 51
368
+ },
369
+ {
370
+ "epoch": 0.10196078431372549,
371
+ "grad_norm": 146.04843139648438,
372
+ "learning_rate": 9.98991302175451e-06,
373
+ "loss": 5.398743629455566,
374
+ "step": 52
375
+ },
376
+ {
377
+ "epoch": 0.10392156862745099,
378
+ "grad_norm": 84.42292022705078,
379
+ "learning_rate": 9.98887948990251e-06,
380
+ "loss": 5.348798751831055,
381
+ "step": 53
382
+ },
383
+ {
384
+ "epoch": 0.10588235294117647,
385
+ "grad_norm": 1806.098388671875,
386
+ "learning_rate": 9.987795618444707e-06,
387
+ "loss": 5.749485969543457,
388
+ "step": 54
389
+ },
390
+ {
391
+ "epoch": 0.10784313725490197,
392
+ "grad_norm": 19992.6953125,
393
+ "learning_rate": 9.986661418317759e-06,
394
+ "loss": 4.9936370849609375,
395
+ "step": 55
396
+ },
397
+ {
398
+ "epoch": 0.10980392156862745,
399
+ "grad_norm": 479.07501220703125,
400
+ "learning_rate": 9.985476900966156e-06,
401
+ "loss": 5.318588733673096,
402
+ "step": 56
403
+ },
404
+ {
405
+ "epoch": 0.11176470588235295,
406
+ "grad_norm": 161.11553955078125,
407
+ "learning_rate": 9.984242078342108e-06,
408
+ "loss": 5.936580181121826,
409
+ "step": 57
410
+ },
411
+ {
412
+ "epoch": 0.11372549019607843,
413
+ "grad_norm": 47.58917236328125,
414
+ "learning_rate": 9.982956962905423e-06,
415
+ "loss": 5.245980739593506,
416
+ "step": 58
417
+ },
418
+ {
419
+ "epoch": 0.11568627450980393,
420
+ "grad_norm": 64.91607666015625,
421
+ "learning_rate": 9.981621567623385e-06,
422
+ "loss": 5.656664848327637,
423
+ "step": 59
424
+ },
425
+ {
426
+ "epoch": 0.11764705882352941,
427
+ "grad_norm": 193.08592224121094,
428
+ "learning_rate": 9.980235905970615e-06,
429
+ "loss": 5.183746337890625,
430
+ "step": 60
431
+ },
432
+ {
433
+ "epoch": 0.11960784313725491,
434
+ "grad_norm": 197.5607452392578,
435
+ "learning_rate": 9.978799991928945e-06,
436
+ "loss": 4.836249351501465,
437
+ "step": 61
438
+ },
439
+ {
440
+ "epoch": 0.12156862745098039,
441
+ "grad_norm": 836.5057983398438,
442
+ "learning_rate": 9.977313839987265e-06,
443
+ "loss": 4.21888542175293,
444
+ "step": 62
445
+ },
446
+ {
447
+ "epoch": 0.12352941176470589,
448
+ "grad_norm": 4496.34228515625,
449
+ "learning_rate": 9.975777465141391e-06,
450
+ "loss": 4.858551979064941,
451
+ "step": 63
452
+ },
453
+ {
454
+ "epoch": 0.12549019607843137,
455
+ "grad_norm": 33.644187927246094,
456
+ "learning_rate": 9.974190882893901e-06,
457
+ "loss": 4.454083442687988,
458
+ "step": 64
459
+ },
460
+ {
461
+ "epoch": 0.12745098039215685,
462
+ "grad_norm": 389.5293273925781,
463
+ "learning_rate": 9.972554109253988e-06,
464
+ "loss": 4.7087812423706055,
465
+ "step": 65
466
+ },
467
+ {
468
+ "epoch": 0.12941176470588237,
469
+ "grad_norm": 234.9954833984375,
470
+ "learning_rate": 9.970867160737293e-06,
471
+ "loss": 4.443643569946289,
472
+ "step": 66
473
+ },
474
+ {
475
+ "epoch": 0.13137254901960785,
476
+ "grad_norm": 127.71284484863281,
477
+ "learning_rate": 9.969130054365737e-06,
478
+ "loss": 5.485596179962158,
479
+ "step": 67
480
+ },
481
+ {
482
+ "epoch": 0.13333333333333333,
483
+ "grad_norm": 73.74437713623047,
484
+ "learning_rate": 9.967342807667355e-06,
485
+ "loss": 5.120403289794922,
486
+ "step": 68
487
+ },
488
+ {
489
+ "epoch": 0.13529411764705881,
490
+ "grad_norm": 49.9027214050293,
491
+ "learning_rate": 9.965505438676115e-06,
492
+ "loss": 5.075076580047607,
493
+ "step": 69
494
+ },
495
+ {
496
+ "epoch": 0.13725490196078433,
497
+ "grad_norm": 138.47344970703125,
498
+ "learning_rate": 9.963617965931738e-06,
499
+ "loss": 5.561940670013428,
500
+ "step": 70
501
+ },
502
+ {
503
+ "epoch": 0.1392156862745098,
504
+ "grad_norm": 322.7532043457031,
505
+ "learning_rate": 9.961680408479508e-06,
506
+ "loss": 4.983658790588379,
507
+ "step": 71
508
+ },
509
+ {
510
+ "epoch": 0.1411764705882353,
511
+ "grad_norm": 41682.1875,
512
+ "learning_rate": 9.959692785870086e-06,
513
+ "loss": 4.346513748168945,
514
+ "step": 72
515
+ },
516
+ {
517
+ "epoch": 0.14313725490196078,
518
+ "grad_norm": 22.722593307495117,
519
+ "learning_rate": 9.957655118159304e-06,
520
+ "loss": 4.279910087585449,
521
+ "step": 73
522
+ },
523
+ {
524
+ "epoch": 0.1450980392156863,
525
+ "grad_norm": 1315.896240234375,
526
+ "learning_rate": 9.955567425907968e-06,
527
+ "loss": 5.980461597442627,
528
+ "step": 74
529
+ },
530
+ {
531
+ "epoch": 0.14705882352941177,
532
+ "grad_norm": 34.87533950805664,
533
+ "learning_rate": 9.953429730181653e-06,
534
+ "loss": 4.460562705993652,
535
+ "step": 75
536
+ },
537
+ {
538
+ "epoch": 0.14901960784313725,
539
+ "grad_norm": 34.65178680419922,
540
+ "learning_rate": 9.951242052550487e-06,
541
+ "loss": 4.673140525817871,
542
+ "step": 76
543
+ },
544
+ {
545
+ "epoch": 0.15098039215686274,
546
+ "grad_norm": 188.9655303955078,
547
+ "learning_rate": 9.949004415088928e-06,
548
+ "loss": 4.867604732513428,
549
+ "step": 77
550
+ },
551
+ {
552
+ "epoch": 0.15294117647058825,
553
+ "grad_norm": 267.5862121582031,
554
+ "learning_rate": 9.946716840375552e-06,
555
+ "loss": 4.577199935913086,
556
+ "step": 78
557
+ },
558
+ {
559
+ "epoch": 0.15490196078431373,
560
+ "grad_norm": 427.12872314453125,
561
+ "learning_rate": 9.944379351492818e-06,
562
+ "loss": 4.855893135070801,
563
+ "step": 79
564
+ },
565
+ {
566
+ "epoch": 0.1568627450980392,
567
+ "grad_norm": 119.81890869140625,
568
+ "learning_rate": 9.941991972026839e-06,
569
+ "loss": 4.051677703857422,
570
+ "step": 80
571
+ },
572
+ {
573
+ "epoch": 0.1588235294117647,
574
+ "grad_norm": 6054.2958984375,
575
+ "learning_rate": 9.939554726067142e-06,
576
+ "loss": 4.933249473571777,
577
+ "step": 81
578
+ },
579
+ {
580
+ "epoch": 0.1607843137254902,
581
+ "grad_norm": 62.10055923461914,
582
+ "learning_rate": 9.937067638206418e-06,
583
+ "loss": 4.819094657897949,
584
+ "step": 82
585
+ },
586
+ {
587
+ "epoch": 0.1627450980392157,
588
+ "grad_norm": 450.60992431640625,
589
+ "learning_rate": 9.934530733540293e-06,
590
+ "loss": 4.19674825668335,
591
+ "step": 83
592
+ },
593
+ {
594
+ "epoch": 0.16470588235294117,
595
+ "grad_norm": 350.167724609375,
596
+ "learning_rate": 9.931944037667056e-06,
597
+ "loss": 4.2217607498168945,
598
+ "step": 84
599
+ },
600
+ {
601
+ "epoch": 0.16666666666666666,
602
+ "grad_norm": 1959.1741943359375,
603
+ "learning_rate": 9.929307576687404e-06,
604
+ "loss": 4.780778884887695,
605
+ "step": 85
606
+ },
607
+ {
608
+ "epoch": 0.16862745098039217,
609
+ "grad_norm": 178.00027465820312,
610
+ "learning_rate": 9.926621377204188e-06,
611
+ "loss": 4.609301567077637,
612
+ "step": 86
613
+ },
614
+ {
615
+ "epoch": 0.17058823529411765,
616
+ "grad_norm": 1623.9786376953125,
617
+ "learning_rate": 9.923885466322135e-06,
618
+ "loss": 5.524645805358887,
619
+ "step": 87
620
+ },
621
+ {
622
+ "epoch": 0.17254901960784313,
623
+ "grad_norm": 26.787124633789062,
624
+ "learning_rate": 9.921099871647582e-06,
625
+ "loss": 4.657105445861816,
626
+ "step": 88
627
+ },
628
+ {
629
+ "epoch": 0.17450980392156862,
630
+ "grad_norm": 438.51654052734375,
631
+ "learning_rate": 9.918264621288187e-06,
632
+ "loss": 5.135782241821289,
633
+ "step": 89
634
+ },
635
+ {
636
+ "epoch": 0.17647058823529413,
637
+ "grad_norm": 68.33883666992188,
638
+ "learning_rate": 9.91537974385266e-06,
639
+ "loss": 4.544101715087891,
640
+ "step": 90
641
+ },
642
+ {
643
+ "epoch": 0.1784313725490196,
644
+ "grad_norm": 184.18646240234375,
645
+ "learning_rate": 9.912445268450459e-06,
646
+ "loss": 5.053075790405273,
647
+ "step": 91
648
+ },
649
+ {
650
+ "epoch": 0.1803921568627451,
651
+ "grad_norm": 1090.8336181640625,
652
+ "learning_rate": 9.909461224691506e-06,
653
+ "loss": 4.8303327560424805,
654
+ "step": 92
655
+ },
656
+ {
657
+ "epoch": 0.18235294117647058,
658
+ "grad_norm": 61.77042007446289,
659
+ "learning_rate": 9.906427642685889e-06,
660
+ "loss": 4.788046360015869,
661
+ "step": 93
662
+ },
663
+ {
664
+ "epoch": 0.1843137254901961,
665
+ "grad_norm": 103.00730895996094,
666
+ "learning_rate": 9.90334455304355e-06,
667
+ "loss": 5.147237300872803,
668
+ "step": 94
669
+ },
670
+ {
671
+ "epoch": 0.18627450980392157,
672
+ "grad_norm": 46.233280181884766,
673
+ "learning_rate": 9.900211986873986e-06,
674
+ "loss": 4.351109981536865,
675
+ "step": 95
676
+ },
677
+ {
678
+ "epoch": 0.18823529411764706,
679
+ "grad_norm": 305.6100769042969,
680
+ "learning_rate": 9.897029975785924e-06,
681
+ "loss": 4.575442790985107,
682
+ "step": 96
683
+ },
684
+ {
685
+ "epoch": 0.19019607843137254,
686
+ "grad_norm": 109.36982727050781,
687
+ "learning_rate": 9.89379855188701e-06,
688
+ "loss": 4.224271774291992,
689
+ "step": 97
690
+ },
691
+ {
692
+ "epoch": 0.19215686274509805,
693
+ "grad_norm": 100.88874816894531,
694
+ "learning_rate": 9.89051774778349e-06,
695
+ "loss": 4.574636936187744,
696
+ "step": 98
697
+ },
698
+ {
699
+ "epoch": 0.19411764705882353,
700
+ "grad_norm": 285.57757568359375,
701
+ "learning_rate": 9.887187596579865e-06,
702
+ "loss": 5.0750861167907715,
703
+ "step": 99
704
+ },
705
+ {
706
+ "epoch": 0.19607843137254902,
707
+ "grad_norm": 87.83949279785156,
708
+ "learning_rate": 9.883808131878573e-06,
709
+ "loss": 4.645264148712158,
710
+ "step": 100
711
+ },
712
+ {
713
+ "epoch": 0.1980392156862745,
714
+ "grad_norm": 414.4931335449219,
715
+ "learning_rate": 9.880379387779637e-06,
716
+ "loss": 4.512279510498047,
717
+ "step": 101
718
+ },
719
+ {
720
+ "epoch": 0.2,
721
+ "grad_norm": 607.8229370117188,
722
+ "learning_rate": 9.87690139888033e-06,
723
+ "loss": 4.384090423583984,
724
+ "step": 102
725
+ },
726
+ {
727
+ "epoch": 0.2019607843137255,
728
+ "grad_norm": 33.75107192993164,
729
+ "learning_rate": 9.873374200274826e-06,
730
+ "loss": 4.4997639656066895,
731
+ "step": 103
732
+ },
733
+ {
734
+ "epoch": 0.20392156862745098,
735
+ "grad_norm": 302.5324401855469,
736
+ "learning_rate": 9.869797827553837e-06,
737
+ "loss": 4.900559902191162,
738
+ "step": 104
739
+ },
740
+ {
741
+ "epoch": 0.20588235294117646,
742
+ "grad_norm": 59.07832717895508,
743
+ "learning_rate": 9.866172316804265e-06,
744
+ "loss": 4.729743957519531,
745
+ "step": 105
746
+ },
747
+ {
748
+ "epoch": 0.20784313725490197,
749
+ "grad_norm": 555.4403686523438,
750
+ "learning_rate": 9.862497704608829e-06,
751
+ "loss": 4.753190517425537,
752
+ "step": 106
753
+ },
754
+ {
755
+ "epoch": 0.20980392156862746,
756
+ "grad_norm": 649.705810546875,
757
+ "learning_rate": 9.8587740280457e-06,
758
+ "loss": 4.613556861877441,
759
+ "step": 107
760
+ },
761
+ {
762
+ "epoch": 0.21176470588235294,
763
+ "grad_norm": 414.4284973144531,
764
+ "learning_rate": 9.855001324688128e-06,
765
+ "loss": 4.940046310424805,
766
+ "step": 108
767
+ },
768
+ {
769
+ "epoch": 0.21372549019607842,
770
+ "grad_norm": 417.20989990234375,
771
+ "learning_rate": 9.851179632604057e-06,
772
+ "loss": 4.4412970542907715,
773
+ "step": 109
774
+ },
775
+ {
776
+ "epoch": 0.21568627450980393,
777
+ "grad_norm": 60.889366149902344,
778
+ "learning_rate": 9.847308990355752e-06,
779
+ "loss": 4.690826416015625,
780
+ "step": 110
781
+ },
782
+ {
783
+ "epoch": 0.21764705882352942,
784
+ "grad_norm": 83.28646087646484,
785
+ "learning_rate": 9.843389436999396e-06,
786
+ "loss": 4.576815605163574,
787
+ "step": 111
788
+ },
789
+ {
790
+ "epoch": 0.2196078431372549,
791
+ "grad_norm": 144.78509521484375,
792
+ "learning_rate": 9.839421012084709e-06,
793
+ "loss": 4.536053657531738,
794
+ "step": 112
795
+ },
796
+ {
797
+ "epoch": 0.22156862745098038,
798
+ "grad_norm": 87.0609359741211,
799
+ "learning_rate": 9.835403755654535e-06,
800
+ "loss": 4.452672004699707,
801
+ "step": 113
802
+ },
803
+ {
804
+ "epoch": 0.2235294117647059,
805
+ "grad_norm": 49.286476135253906,
806
+ "learning_rate": 9.831337708244454e-06,
807
+ "loss": 4.295703887939453,
808
+ "step": 114
809
+ },
810
+ {
811
+ "epoch": 0.22549019607843138,
812
+ "grad_norm": 225.94625854492188,
813
+ "learning_rate": 9.827222910882358e-06,
814
+ "loss": 5.346158504486084,
815
+ "step": 115
816
+ },
817
+ {
818
+ "epoch": 0.22745098039215686,
819
+ "grad_norm": 116.64401245117188,
820
+ "learning_rate": 9.82305940508805e-06,
821
+ "loss": 4.404465675354004,
822
+ "step": 116
823
+ },
824
+ {
825
+ "epoch": 0.22941176470588234,
826
+ "grad_norm": 71.7906265258789,
827
+ "learning_rate": 9.818847232872815e-06,
828
+ "loss": 4.849125862121582,
829
+ "step": 117
830
+ },
831
+ {
832
+ "epoch": 0.23137254901960785,
833
+ "grad_norm": 116.41288757324219,
834
+ "learning_rate": 9.814586436738998e-06,
835
+ "loss": 4.716423988342285,
836
+ "step": 118
837
+ },
838
+ {
839
+ "epoch": 0.23333333333333334,
840
+ "grad_norm": 107.20303344726562,
841
+ "learning_rate": 9.81027705967958e-06,
842
+ "loss": 4.078630447387695,
843
+ "step": 119
844
+ },
845
+ {
846
+ "epoch": 0.23529411764705882,
847
+ "grad_norm": 44.105812072753906,
848
+ "learning_rate": 9.805919145177741e-06,
849
+ "loss": 4.686631679534912,
850
+ "step": 120
851
+ },
852
+ {
853
+ "epoch": 0.2372549019607843,
854
+ "grad_norm": 793.5034790039062,
855
+ "learning_rate": 9.801512737206422e-06,
856
+ "loss": 5.099960803985596,
857
+ "step": 121
858
+ },
859
+ {
860
+ "epoch": 0.23921568627450981,
861
+ "grad_norm": 91.11273956298828,
862
+ "learning_rate": 9.797057880227878e-06,
863
+ "loss": 4.722168922424316,
864
+ "step": 122
865
+ },
866
+ {
867
+ "epoch": 0.2411764705882353,
868
+ "grad_norm": 25.48920440673828,
869
+ "learning_rate": 9.792554619193235e-06,
870
+ "loss": 4.521475791931152,
871
+ "step": 123
872
+ },
873
+ {
874
+ "epoch": 0.24313725490196078,
875
+ "grad_norm": 9693.837890625,
876
+ "learning_rate": 9.78800299954203e-06,
877
+ "loss": 4.789237976074219,
878
+ "step": 124
879
+ },
880
+ {
881
+ "epoch": 0.24509803921568626,
882
+ "grad_norm": 144.1415252685547,
883
+ "learning_rate": 9.783403067201763e-06,
884
+ "loss": 4.778863906860352,
885
+ "step": 125
886
+ },
887
+ {
888
+ "epoch": 0.24705882352941178,
889
+ "grad_norm": 11.692220687866211,
890
+ "learning_rate": 9.778754868587414e-06,
891
+ "loss": 5.121346473693848,
892
+ "step": 126
893
+ },
894
+ {
895
+ "epoch": 0.24901960784313726,
896
+ "grad_norm": 35.05064010620117,
897
+ "learning_rate": 9.774058450601003e-06,
898
+ "loss": 5.001660346984863,
899
+ "step": 127
900
+ },
901
+ {
902
+ "epoch": 0.25098039215686274,
903
+ "grad_norm": 137.78485107421875,
904
+ "learning_rate": 9.76931386063109e-06,
905
+ "loss": 4.57066535949707,
906
+ "step": 128
907
+ },
908
+ {
909
+ "epoch": 0.2529411764705882,
910
+ "grad_norm": 43.179466247558594,
911
+ "learning_rate": 9.76452114655231e-06,
912
+ "loss": 4.620499610900879,
913
+ "step": 129
914
+ },
915
+ {
916
+ "epoch": 0.2549019607843137,
917
+ "grad_norm": 33.09333038330078,
918
+ "learning_rate": 9.759680356724888e-06,
919
+ "loss": 4.002799034118652,
920
+ "step": 130
921
+ },
922
+ {
923
+ "epoch": 0.2568627450980392,
924
+ "grad_norm": 61.24403762817383,
925
+ "learning_rate": 9.754791539994153e-06,
926
+ "loss": 5.060644149780273,
927
+ "step": 131
928
+ },
929
+ {
930
+ "epoch": 0.25882352941176473,
931
+ "grad_norm": 8565.3466796875,
932
+ "learning_rate": 9.749854745690041e-06,
933
+ "loss": 4.671350479125977,
934
+ "step": 132
935
+ },
936
+ {
937
+ "epoch": 0.2607843137254902,
938
+ "grad_norm": 59.654541015625,
939
+ "learning_rate": 9.744870023626598e-06,
940
+ "loss": 4.615689277648926,
941
+ "step": 133
942
+ },
943
+ {
944
+ "epoch": 0.2627450980392157,
945
+ "grad_norm": 58.113155364990234,
946
+ "learning_rate": 9.739837424101484e-06,
947
+ "loss": 4.944394588470459,
948
+ "step": 134
949
+ },
950
+ {
951
+ "epoch": 0.2647058823529412,
952
+ "grad_norm": 44.76533126831055,
953
+ "learning_rate": 9.73475699789545e-06,
954
+ "loss": 4.559343338012695,
955
+ "step": 135
956
+ },
957
+ {
958
+ "epoch": 0.26666666666666666,
959
+ "grad_norm": 4049.171142578125,
960
+ "learning_rate": 9.729628796271844e-06,
961
+ "loss": 4.097330093383789,
962
+ "step": 136
963
+ },
964
+ {
965
+ "epoch": 0.26862745098039215,
966
+ "grad_norm": 91.75375366210938,
967
+ "learning_rate": 9.724452870976084e-06,
968
+ "loss": 4.160323143005371,
969
+ "step": 137
970
+ },
971
+ {
972
+ "epoch": 0.27058823529411763,
973
+ "grad_norm": 92.1652603149414,
974
+ "learning_rate": 9.719229274235134e-06,
975
+ "loss": 4.578685760498047,
976
+ "step": 138
977
+ },
978
+ {
979
+ "epoch": 0.2725490196078431,
980
+ "grad_norm": 21.699565887451172,
981
+ "learning_rate": 9.713958058756985e-06,
982
+ "loss": 4.3331217765808105,
983
+ "step": 139
984
+ },
985
+ {
986
+ "epoch": 0.27450980392156865,
987
+ "grad_norm": 2818.811279296875,
988
+ "learning_rate": 9.708639277730112e-06,
989
+ "loss": 4.388368606567383,
990
+ "step": 140
991
+ },
992
+ {
993
+ "epoch": 0.27647058823529413,
994
+ "grad_norm": 58.03261184692383,
995
+ "learning_rate": 9.703272984822947e-06,
996
+ "loss": 4.328610897064209,
997
+ "step": 141
998
+ },
999
+ {
1000
+ "epoch": 0.2784313725490196,
1001
+ "grad_norm": 85.0673599243164,
1002
+ "learning_rate": 9.697859234183336e-06,
1003
+ "loss": 4.389078617095947,
1004
+ "step": 142
1005
+ },
1006
+ {
1007
+ "epoch": 0.2803921568627451,
1008
+ "grad_norm": 47.508522033691406,
1009
+ "learning_rate": 9.692398080437991e-06,
1010
+ "loss": 4.623535633087158,
1011
+ "step": 143
1012
+ },
1013
+ {
1014
+ "epoch": 0.2823529411764706,
1015
+ "grad_norm": 26.19891357421875,
1016
+ "learning_rate": 9.68688957869193e-06,
1017
+ "loss": 4.690242767333984,
1018
+ "step": 144
1019
+ },
1020
+ {
1021
+ "epoch": 0.28431372549019607,
1022
+ "grad_norm": 27.067237854003906,
1023
+ "learning_rate": 9.681333784527945e-06,
1024
+ "loss": 4.570530414581299,
1025
+ "step": 145
1026
+ },
1027
+ {
1028
+ "epoch": 0.28627450980392155,
1029
+ "grad_norm": 241.20358276367188,
1030
+ "learning_rate": 9.67573075400601e-06,
1031
+ "loss": 4.467217922210693,
1032
+ "step": 146
1033
+ },
1034
+ {
1035
+ "epoch": 0.28823529411764703,
1036
+ "grad_norm": 14.455266952514648,
1037
+ "learning_rate": 9.670080543662742e-06,
1038
+ "loss": 4.641494274139404,
1039
+ "step": 147
1040
+ },
1041
+ {
1042
+ "epoch": 0.2901960784313726,
1043
+ "grad_norm": 31.17917251586914,
1044
+ "learning_rate": 9.66438321051081e-06,
1045
+ "loss": 4.5704450607299805,
1046
+ "step": 148
1047
+ },
1048
+ {
1049
+ "epoch": 0.29215686274509806,
1050
+ "grad_norm": 31.33642578125,
1051
+ "learning_rate": 9.658638812038379e-06,
1052
+ "loss": 4.436771869659424,
1053
+ "step": 149
1054
+ },
1055
+ {
1056
+ "epoch": 0.29411764705882354,
1057
+ "grad_norm": 44.800392150878906,
1058
+ "learning_rate": 9.652847406208514e-06,
1059
+ "loss": 4.712490558624268,
1060
+ "step": 150
1061
+ },
1062
+ {
1063
+ "epoch": 0.296078431372549,
1064
+ "grad_norm": 25.672563552856445,
1065
+ "learning_rate": 9.647009051458604e-06,
1066
+ "loss": 5.042919158935547,
1067
+ "step": 151
1068
+ },
1069
+ {
1070
+ "epoch": 0.2980392156862745,
1071
+ "grad_norm": 16.580514907836914,
1072
+ "learning_rate": 9.641123806699769e-06,
1073
+ "loss": 4.510254859924316,
1074
+ "step": 152
1075
+ },
1076
+ {
1077
+ "epoch": 0.3,
1078
+ "grad_norm": 15.236343383789062,
1079
+ "learning_rate": 9.635191731316262e-06,
1080
+ "loss": 4.711069583892822,
1081
+ "step": 153
1082
+ },
1083
+ {
1084
+ "epoch": 0.30196078431372547,
1085
+ "grad_norm": 216.19012451171875,
1086
+ "learning_rate": 9.629212885164882e-06,
1087
+ "loss": 4.6602983474731445,
1088
+ "step": 154
1089
+ },
1090
+ {
1091
+ "epoch": 0.30392156862745096,
1092
+ "grad_norm": 23.054521560668945,
1093
+ "learning_rate": 9.623187328574357e-06,
1094
+ "loss": 4.656505584716797,
1095
+ "step": 155
1096
+ },
1097
+ {
1098
+ "epoch": 0.3058823529411765,
1099
+ "grad_norm": 75.67474365234375,
1100
+ "learning_rate": 9.617115122344742e-06,
1101
+ "loss": 4.795361042022705,
1102
+ "step": 156
1103
+ },
1104
+ {
1105
+ "epoch": 0.307843137254902,
1106
+ "grad_norm": 10.801730155944824,
1107
+ "learning_rate": 9.6109963277468e-06,
1108
+ "loss": 4.377931118011475,
1109
+ "step": 157
1110
+ },
1111
+ {
1112
+ "epoch": 0.30980392156862746,
1113
+ "grad_norm": 50.18651580810547,
1114
+ "learning_rate": 9.604831006521393e-06,
1115
+ "loss": 4.209827423095703,
1116
+ "step": 158
1117
+ },
1118
+ {
1119
+ "epoch": 0.31176470588235294,
1120
+ "grad_norm": 65.79145812988281,
1121
+ "learning_rate": 9.598619220878852e-06,
1122
+ "loss": 4.403324127197266,
1123
+ "step": 159
1124
+ },
1125
+ {
1126
+ "epoch": 0.3137254901960784,
1127
+ "grad_norm": 717.3584594726562,
1128
+ "learning_rate": 9.592361033498349e-06,
1129
+ "loss": 4.686285972595215,
1130
+ "step": 160
1131
+ },
1132
+ {
1133
+ "epoch": 0.3156862745098039,
1134
+ "grad_norm": 6.576393127441406,
1135
+ "learning_rate": 9.586056507527266e-06,
1136
+ "loss": 4.493882179260254,
1137
+ "step": 161
1138
+ },
1139
+ {
1140
+ "epoch": 0.3176470588235294,
1141
+ "grad_norm": 22.952342987060547,
1142
+ "learning_rate": 9.57970570658056e-06,
1143
+ "loss": 3.9739434719085693,
1144
+ "step": 162
1145
+ },
1146
+ {
1147
+ "epoch": 0.3196078431372549,
1148
+ "grad_norm": 19.122220993041992,
1149
+ "learning_rate": 9.57330869474012e-06,
1150
+ "loss": 4.901614189147949,
1151
+ "step": 163
1152
+ },
1153
+ {
1154
+ "epoch": 0.3215686274509804,
1155
+ "grad_norm": 13.962799072265625,
1156
+ "learning_rate": 9.566865536554119e-06,
1157
+ "loss": 4.684842109680176,
1158
+ "step": 164
1159
+ },
1160
+ {
1161
+ "epoch": 0.3235294117647059,
1162
+ "grad_norm": 588.8753051757812,
1163
+ "learning_rate": 9.560376297036362e-06,
1164
+ "loss": 4.2213664054870605,
1165
+ "step": 165
1166
+ },
1167
+ {
1168
+ "epoch": 0.3254901960784314,
1169
+ "grad_norm": 52.16958999633789,
1170
+ "learning_rate": 9.553841041665632e-06,
1171
+ "loss": 4.610918045043945,
1172
+ "step": 166
1173
+ },
1174
+ {
1175
+ "epoch": 0.32745098039215687,
1176
+ "grad_norm": 10.890721321105957,
1177
+ "learning_rate": 9.54725983638503e-06,
1178
+ "loss": 4.533082485198975,
1179
+ "step": 167
1180
+ },
1181
+ {
1182
+ "epoch": 0.32941176470588235,
1183
+ "grad_norm": 16.27850914001465,
1184
+ "learning_rate": 9.540632747601309e-06,
1185
+ "loss": 4.84617805480957,
1186
+ "step": 168
1187
+ },
1188
+ {
1189
+ "epoch": 0.33137254901960783,
1190
+ "grad_norm": 23.593048095703125,
1191
+ "learning_rate": 9.533959842184195e-06,
1192
+ "loss": 4.829172611236572,
1193
+ "step": 169
1194
+ },
1195
+ {
1196
+ "epoch": 0.3333333333333333,
1197
+ "grad_norm": 12.077108383178711,
1198
+ "learning_rate": 9.527241187465735e-06,
1199
+ "loss": 4.293300151824951,
1200
+ "step": 170
1201
+ },
1202
+ {
1203
+ "epoch": 0.3352941176470588,
1204
+ "grad_norm": 21.818492889404297,
1205
+ "learning_rate": 9.520476851239588e-06,
1206
+ "loss": 4.222914695739746,
1207
+ "step": 171
1208
+ },
1209
+ {
1210
+ "epoch": 0.33725490196078434,
1211
+ "grad_norm": 14.46260929107666,
1212
+ "learning_rate": 9.513666901760368e-06,
1213
+ "loss": 4.497089385986328,
1214
+ "step": 172
1215
+ },
1216
+ {
1217
+ "epoch": 0.3392156862745098,
1218
+ "grad_norm": 15.194242477416992,
1219
+ "learning_rate": 9.506811407742938e-06,
1220
+ "loss": 4.559511661529541,
1221
+ "step": 173
1222
+ },
1223
+ {
1224
+ "epoch": 0.3411764705882353,
1225
+ "grad_norm": 23.59486198425293,
1226
+ "learning_rate": 9.49991043836172e-06,
1227
+ "loss": 4.664986610412598,
1228
+ "step": 174
1229
+ },
1230
+ {
1231
+ "epoch": 0.3431372549019608,
1232
+ "grad_norm": 12.736374855041504,
1233
+ "learning_rate": 9.49296406325e-06,
1234
+ "loss": 3.997081756591797,
1235
+ "step": 175
1236
+ },
1237
+ {
1238
+ "epoch": 0.34509803921568627,
1239
+ "grad_norm": 32.026031494140625,
1240
+ "learning_rate": 9.485972352499231e-06,
1241
+ "loss": 3.9222970008850098,
1242
+ "step": 176
1243
+ },
1244
+ {
1245
+ "epoch": 0.34705882352941175,
1246
+ "grad_norm": 74.40033721923828,
1247
+ "learning_rate": 9.478935376658308e-06,
1248
+ "loss": 4.217952728271484,
1249
+ "step": 177
1250
+ },
1251
+ {
1252
+ "epoch": 0.34901960784313724,
1253
+ "grad_norm": 32.45917892456055,
1254
+ "learning_rate": 9.471853206732875e-06,
1255
+ "loss": 4.877760887145996,
1256
+ "step": 178
1257
+ },
1258
+ {
1259
+ "epoch": 0.3509803921568627,
1260
+ "grad_norm": 133.5160675048828,
1261
+ "learning_rate": 9.4647259141846e-06,
1262
+ "loss": 4.599568843841553,
1263
+ "step": 179
1264
+ },
1265
+ {
1266
+ "epoch": 0.35294117647058826,
1267
+ "grad_norm": 110.89315795898438,
1268
+ "learning_rate": 9.457553570930451e-06,
1269
+ "loss": 4.784282684326172,
1270
+ "step": 180
1271
+ },
1272
+ {
1273
+ "epoch": 0.35490196078431374,
1274
+ "grad_norm": 7.933850288391113,
1275
+ "learning_rate": 9.450336249341976e-06,
1276
+ "loss": 4.384489059448242,
1277
+ "step": 181
1278
+ },
1279
+ {
1280
+ "epoch": 0.3568627450980392,
1281
+ "grad_norm": 90.08252716064453,
1282
+ "learning_rate": 9.443074022244573e-06,
1283
+ "loss": 4.630293846130371,
1284
+ "step": 182
1285
+ },
1286
+ {
1287
+ "epoch": 0.3588235294117647,
1288
+ "grad_norm": 203.20277404785156,
1289
+ "learning_rate": 9.435766962916749e-06,
1290
+ "loss": 4.612138748168945,
1291
+ "step": 183
1292
+ },
1293
+ {
1294
+ "epoch": 0.3607843137254902,
1295
+ "grad_norm": 29.04180145263672,
1296
+ "learning_rate": 9.428415145089385e-06,
1297
+ "loss": 4.887096405029297,
1298
+ "step": 184
1299
+ },
1300
+ {
1301
+ "epoch": 0.3627450980392157,
1302
+ "grad_norm": 21.732030868530273,
1303
+ "learning_rate": 9.421018642944996e-06,
1304
+ "loss": 4.200204372406006,
1305
+ "step": 185
1306
+ },
1307
+ {
1308
+ "epoch": 0.36470588235294116,
1309
+ "grad_norm": 88.96598052978516,
1310
+ "learning_rate": 9.413577531116973e-06,
1311
+ "loss": 4.376042366027832,
1312
+ "step": 186
1313
+ },
1314
+ {
1315
+ "epoch": 0.36666666666666664,
1316
+ "grad_norm": 97.27217102050781,
1317
+ "learning_rate": 9.406091884688837e-06,
1318
+ "loss": 4.695228099822998,
1319
+ "step": 187
1320
+ },
1321
+ {
1322
+ "epoch": 0.3686274509803922,
1323
+ "grad_norm": 50.880985260009766,
1324
+ "learning_rate": 9.398561779193477e-06,
1325
+ "loss": 4.356112003326416,
1326
+ "step": 188
1327
+ },
1328
+ {
1329
+ "epoch": 0.37058823529411766,
1330
+ "grad_norm": 12.541425704956055,
1331
+ "learning_rate": 9.390987290612396e-06,
1332
+ "loss": 4.752440452575684,
1333
+ "step": 189
1334
+ },
1335
+ {
1336
+ "epoch": 0.37254901960784315,
1337
+ "grad_norm": 236.70387268066406,
1338
+ "learning_rate": 9.38336849537493e-06,
1339
+ "loss": 4.593203067779541,
1340
+ "step": 190
1341
+ },
1342
+ {
1343
+ "epoch": 0.37450980392156863,
1344
+ "grad_norm": 2993.429931640625,
1345
+ "learning_rate": 9.375705470357493e-06,
1346
+ "loss": 4.44484806060791,
1347
+ "step": 191
1348
+ },
1349
+ {
1350
+ "epoch": 0.3764705882352941,
1351
+ "grad_norm": 150.78634643554688,
1352
+ "learning_rate": 9.367998292882789e-06,
1353
+ "loss": 3.959789514541626,
1354
+ "step": 192
1355
+ },
1356
+ {
1357
+ "epoch": 0.3784313725490196,
1358
+ "grad_norm": 39.33837127685547,
1359
+ "learning_rate": 9.36024704071904e-06,
1360
+ "loss": 4.030791759490967,
1361
+ "step": 193
1362
+ },
1363
+ {
1364
+ "epoch": 0.3803921568627451,
1365
+ "grad_norm": 18.125226974487305,
1366
+ "learning_rate": 9.35245179207919e-06,
1367
+ "loss": 4.262718200683594,
1368
+ "step": 194
1369
+ },
1370
+ {
1371
+ "epoch": 0.38235294117647056,
1372
+ "grad_norm": 70.55377960205078,
1373
+ "learning_rate": 9.344612625620134e-06,
1374
+ "loss": 4.606302261352539,
1375
+ "step": 195
1376
+ },
1377
+ {
1378
+ "epoch": 0.3843137254901961,
1379
+ "grad_norm": 1980.358154296875,
1380
+ "learning_rate": 9.336729620441906e-06,
1381
+ "loss": 4.8002824783325195,
1382
+ "step": 196
1383
+ },
1384
+ {
1385
+ "epoch": 0.3862745098039216,
1386
+ "grad_norm": 31.0122013092041,
1387
+ "learning_rate": 9.328802856086891e-06,
1388
+ "loss": 4.136668682098389,
1389
+ "step": 197
1390
+ },
1391
+ {
1392
+ "epoch": 0.38823529411764707,
1393
+ "grad_norm": 13.777653694152832,
1394
+ "learning_rate": 9.32083241253902e-06,
1395
+ "loss": 4.453038692474365,
1396
+ "step": 198
1397
+ },
1398
+ {
1399
+ "epoch": 0.39019607843137255,
1400
+ "grad_norm": 15.520337104797363,
1401
+ "learning_rate": 9.312818370222962e-06,
1402
+ "loss": 4.666173934936523,
1403
+ "step": 199
1404
+ },
1405
+ {
1406
+ "epoch": 0.39215686274509803,
1407
+ "grad_norm": 25.686555862426758,
1408
+ "learning_rate": 9.304760810003318e-06,
1409
+ "loss": 4.567206859588623,
1410
+ "step": 200
1411
+ },
1412
+ {
1413
+ "epoch": 0.3941176470588235,
1414
+ "grad_norm": 34.059505462646484,
1415
+ "learning_rate": 9.296659813183794e-06,
1416
+ "loss": 4.661189556121826,
1417
+ "step": 201
1418
+ },
1419
+ {
1420
+ "epoch": 0.396078431372549,
1421
+ "grad_norm": 20.709781646728516,
1422
+ "learning_rate": 9.28851546150639e-06,
1423
+ "loss": 4.140271186828613,
1424
+ "step": 202
1425
+ },
1426
+ {
1427
+ "epoch": 0.3980392156862745,
1428
+ "grad_norm": 52.71310043334961,
1429
+ "learning_rate": 9.280327837150572e-06,
1430
+ "loss": 4.564424514770508,
1431
+ "step": 203
1432
+ },
1433
+ {
1434
+ "epoch": 0.4,
1435
+ "grad_norm": 16.125553131103516,
1436
+ "learning_rate": 9.272097022732444e-06,
1437
+ "loss": 4.352408409118652,
1438
+ "step": 204
1439
+ },
1440
+ {
1441
+ "epoch": 0.4019607843137255,
1442
+ "grad_norm": 10.148744583129883,
1443
+ "learning_rate": 9.263823101303911e-06,
1444
+ "loss": 3.883530616760254,
1445
+ "step": 205
1446
+ },
1447
+ {
1448
+ "epoch": 0.403921568627451,
1449
+ "grad_norm": 22.48365020751953,
1450
+ "learning_rate": 9.255506156351846e-06,
1451
+ "loss": 4.559526443481445,
1452
+ "step": 206
1453
+ },
1454
+ {
1455
+ "epoch": 0.40588235294117647,
1456
+ "grad_norm": 1699.036865234375,
1457
+ "learning_rate": 9.247146271797244e-06,
1458
+ "loss": 4.905045509338379,
1459
+ "step": 207
1460
+ },
1461
+ {
1462
+ "epoch": 0.40784313725490196,
1463
+ "grad_norm": 7.313532829284668,
1464
+ "learning_rate": 9.238743531994378e-06,
1465
+ "loss": 3.642618417739868,
1466
+ "step": 208
1467
+ },
1468
+ {
1469
+ "epoch": 0.40980392156862744,
1470
+ "grad_norm": 35.672157287597656,
1471
+ "learning_rate": 9.23029802172994e-06,
1472
+ "loss": 4.230594635009766,
1473
+ "step": 209
1474
+ },
1475
+ {
1476
+ "epoch": 0.4117647058823529,
1477
+ "grad_norm": 202.3529815673828,
1478
+ "learning_rate": 9.221809826222198e-06,
1479
+ "loss": 4.2360124588012695,
1480
+ "step": 210
1481
+ },
1482
+ {
1483
+ "epoch": 0.4137254901960784,
1484
+ "grad_norm": 117.8387222290039,
1485
+ "learning_rate": 9.213279031120129e-06,
1486
+ "loss": 4.491461277008057,
1487
+ "step": 211
1488
+ },
1489
+ {
1490
+ "epoch": 0.41568627450980394,
1491
+ "grad_norm": 34.6633186340332,
1492
+ "learning_rate": 9.20470572250255e-06,
1493
+ "loss": 4.295816898345947,
1494
+ "step": 212
1495
+ },
1496
+ {
1497
+ "epoch": 0.4176470588235294,
1498
+ "grad_norm": 8.826363563537598,
1499
+ "learning_rate": 9.196089986877262e-06,
1500
+ "loss": 4.463611602783203,
1501
+ "step": 213
1502
+ },
1503
+ {
1504
+ "epoch": 0.4196078431372549,
1505
+ "grad_norm": 26.18223762512207,
1506
+ "learning_rate": 9.18743191118016e-06,
1507
+ "loss": 4.4809675216674805,
1508
+ "step": 214
1509
+ },
1510
+ {
1511
+ "epoch": 0.4215686274509804,
1512
+ "grad_norm": 23.7016544342041,
1513
+ "learning_rate": 9.17873158277438e-06,
1514
+ "loss": 4.53269100189209,
1515
+ "step": 215
1516
+ },
1517
+ {
1518
+ "epoch": 0.4235294117647059,
1519
+ "grad_norm": 147.547119140625,
1520
+ "learning_rate": 9.16998908944939e-06,
1521
+ "loss": 4.548085689544678,
1522
+ "step": 216
1523
+ },
1524
+ {
1525
+ "epoch": 0.42549019607843136,
1526
+ "grad_norm": 33.69279098510742,
1527
+ "learning_rate": 9.161204519420126e-06,
1528
+ "loss": 4.510319709777832,
1529
+ "step": 217
1530
+ },
1531
+ {
1532
+ "epoch": 0.42745098039215684,
1533
+ "grad_norm": 21.794368743896484,
1534
+ "learning_rate": 9.152377961326085e-06,
1535
+ "loss": 3.977487564086914,
1536
+ "step": 218
1537
+ },
1538
+ {
1539
+ "epoch": 0.4294117647058823,
1540
+ "grad_norm": 17.71551513671875,
1541
+ "learning_rate": 9.14350950423045e-06,
1542
+ "loss": 4.281040191650391,
1543
+ "step": 219
1544
+ },
1545
+ {
1546
+ "epoch": 0.43137254901960786,
1547
+ "grad_norm": 91.0526123046875,
1548
+ "learning_rate": 9.134599237619167e-06,
1549
+ "loss": 4.954435348510742,
1550
+ "step": 220
1551
+ },
1552
+ {
1553
+ "epoch": 0.43333333333333335,
1554
+ "grad_norm": 39.16487121582031,
1555
+ "learning_rate": 9.125647251400068e-06,
1556
+ "loss": 4.5113935470581055,
1557
+ "step": 221
1558
+ },
1559
+ {
1560
+ "epoch": 0.43529411764705883,
1561
+ "grad_norm": 304.0317687988281,
1562
+ "learning_rate": 9.11665363590194e-06,
1563
+ "loss": 4.286795139312744,
1564
+ "step": 222
1565
+ },
1566
+ {
1567
+ "epoch": 0.4372549019607843,
1568
+ "grad_norm": 64.62968444824219,
1569
+ "learning_rate": 9.107618481873632e-06,
1570
+ "loss": 4.302193641662598,
1571
+ "step": 223
1572
+ },
1573
+ {
1574
+ "epoch": 0.4392156862745098,
1575
+ "grad_norm": 9.797171592712402,
1576
+ "learning_rate": 9.098541880483129e-06,
1577
+ "loss": 4.519267559051514,
1578
+ "step": 224
1579
+ },
1580
+ {
1581
+ "epoch": 0.4411764705882353,
1582
+ "grad_norm": 16.81446647644043,
1583
+ "learning_rate": 9.089423923316636e-06,
1584
+ "loss": 4.170806884765625,
1585
+ "step": 225
1586
+ },
1587
+ {
1588
+ "epoch": 0.44313725490196076,
1589
+ "grad_norm": 97.48379516601562,
1590
+ "learning_rate": 9.08026470237765e-06,
1591
+ "loss": 4.171516418457031,
1592
+ "step": 226
1593
+ },
1594
+ {
1595
+ "epoch": 0.44509803921568625,
1596
+ "grad_norm": 8.226983070373535,
1597
+ "learning_rate": 9.07106431008604e-06,
1598
+ "loss": 4.536833763122559,
1599
+ "step": 227
1600
+ },
1601
+ {
1602
+ "epoch": 0.4470588235294118,
1603
+ "grad_norm": 17.50508689880371,
1604
+ "learning_rate": 9.0618228392771e-06,
1605
+ "loss": 4.602504730224609,
1606
+ "step": 228
1607
+ },
1608
+ {
1609
+ "epoch": 0.44901960784313727,
1610
+ "grad_norm": 1409.4854736328125,
1611
+ "learning_rate": 9.052540383200634e-06,
1612
+ "loss": 4.213375091552734,
1613
+ "step": 229
1614
+ },
1615
+ {
1616
+ "epoch": 0.45098039215686275,
1617
+ "grad_norm": 18.96872901916504,
1618
+ "learning_rate": 9.043217035519986e-06,
1619
+ "loss": 4.0827131271362305,
1620
+ "step": 230
1621
+ },
1622
+ {
1623
+ "epoch": 0.45294117647058824,
1624
+ "grad_norm": 16.178728103637695,
1625
+ "learning_rate": 9.033852890311127e-06,
1626
+ "loss": 4.6328125,
1627
+ "step": 231
1628
+ },
1629
+ {
1630
+ "epoch": 0.4549019607843137,
1631
+ "grad_norm": 10.366260528564453,
1632
+ "learning_rate": 9.02444804206168e-06,
1633
+ "loss": 4.5647430419921875,
1634
+ "step": 232
1635
+ },
1636
+ {
1637
+ "epoch": 0.4568627450980392,
1638
+ "grad_norm": 17.84885597229004,
1639
+ "learning_rate": 9.01500258566998e-06,
1640
+ "loss": 4.389437198638916,
1641
+ "step": 233
1642
+ },
1643
+ {
1644
+ "epoch": 0.4588235294117647,
1645
+ "grad_norm": 11.878860473632812,
1646
+ "learning_rate": 9.005516616444112e-06,
1647
+ "loss": 4.770614147186279,
1648
+ "step": 234
1649
+ },
1650
+ {
1651
+ "epoch": 0.46078431372549017,
1652
+ "grad_norm": 85.99885559082031,
1653
+ "learning_rate": 8.99599023010095e-06,
1654
+ "loss": 4.427285194396973,
1655
+ "step": 235
1656
+ },
1657
+ {
1658
+ "epoch": 0.4627450980392157,
1659
+ "grad_norm": 77.5919189453125,
1660
+ "learning_rate": 8.986423522765191e-06,
1661
+ "loss": 4.447712421417236,
1662
+ "step": 236
1663
+ },
1664
+ {
1665
+ "epoch": 0.4647058823529412,
1666
+ "grad_norm": 19.800437927246094,
1667
+ "learning_rate": 8.976816590968388e-06,
1668
+ "loss": 4.388566017150879,
1669
+ "step": 237
1670
+ },
1671
+ {
1672
+ "epoch": 0.4666666666666667,
1673
+ "grad_norm": 29.633106231689453,
1674
+ "learning_rate": 8.967169531647971e-06,
1675
+ "loss": 4.662332534790039,
1676
+ "step": 238
1677
+ },
1678
+ {
1679
+ "epoch": 0.46862745098039216,
1680
+ "grad_norm": 11.136107444763184,
1681
+ "learning_rate": 8.957482442146271e-06,
1682
+ "loss": 4.721919059753418,
1683
+ "step": 239
1684
+ },
1685
+ {
1686
+ "epoch": 0.47058823529411764,
1687
+ "grad_norm": 23.172388076782227,
1688
+ "learning_rate": 8.947755420209541e-06,
1689
+ "loss": 4.55937385559082,
1690
+ "step": 240
1691
+ },
1692
+ {
1693
+ "epoch": 0.4725490196078431,
1694
+ "grad_norm": 22.51704216003418,
1695
+ "learning_rate": 8.937988563986963e-06,
1696
+ "loss": 4.346927642822266,
1697
+ "step": 241
1698
+ },
1699
+ {
1700
+ "epoch": 0.4745098039215686,
1701
+ "grad_norm": 9.842615127563477,
1702
+ "learning_rate": 8.928181972029664e-06,
1703
+ "loss": 4.690535545349121,
1704
+ "step": 242
1705
+ },
1706
+ {
1707
+ "epoch": 0.4764705882352941,
1708
+ "grad_norm": 158.396484375,
1709
+ "learning_rate": 8.918335743289717e-06,
1710
+ "loss": 4.770160675048828,
1711
+ "step": 243
1712
+ },
1713
+ {
1714
+ "epoch": 0.47843137254901963,
1715
+ "grad_norm": 18.87772560119629,
1716
+ "learning_rate": 8.90844997711915e-06,
1717
+ "loss": 4.694735527038574,
1718
+ "step": 244
1719
+ },
1720
+ {
1721
+ "epoch": 0.4803921568627451,
1722
+ "grad_norm": 10.401981353759766,
1723
+ "learning_rate": 8.898524773268926e-06,
1724
+ "loss": 4.433718681335449,
1725
+ "step": 245
1726
+ },
1727
+ {
1728
+ "epoch": 0.4823529411764706,
1729
+ "grad_norm": 35.996971130371094,
1730
+ "learning_rate": 8.888560231887963e-06,
1731
+ "loss": 4.435983180999756,
1732
+ "step": 246
1733
+ },
1734
+ {
1735
+ "epoch": 0.4843137254901961,
1736
+ "grad_norm": 144.66212463378906,
1737
+ "learning_rate": 8.8785564535221e-06,
1738
+ "loss": 4.828408241271973,
1739
+ "step": 247
1740
+ },
1741
+ {
1742
+ "epoch": 0.48627450980392156,
1743
+ "grad_norm": 61.79336166381836,
1744
+ "learning_rate": 8.868513539113093e-06,
1745
+ "loss": 4.478762149810791,
1746
+ "step": 248
1747
+ },
1748
+ {
1749
+ "epoch": 0.48823529411764705,
1750
+ "grad_norm": 111.1070556640625,
1751
+ "learning_rate": 8.858431589997597e-06,
1752
+ "loss": 4.791953086853027,
1753
+ "step": 249
1754
+ },
1755
+ {
1756
+ "epoch": 0.49019607843137253,
1757
+ "grad_norm": 43.53703308105469,
1758
+ "learning_rate": 8.848310707906138e-06,
1759
+ "loss": 4.221644401550293,
1760
+ "step": 250
1761
+ },
1762
+ {
1763
+ "epoch": 0.492156862745098,
1764
+ "grad_norm": 30.130136489868164,
1765
+ "learning_rate": 8.838150994962094e-06,
1766
+ "loss": 3.9666197299957275,
1767
+ "step": 251
1768
+ },
1769
+ {
1770
+ "epoch": 0.49411764705882355,
1771
+ "grad_norm": 24.61577033996582,
1772
+ "learning_rate": 8.827952553680656e-06,
1773
+ "loss": 4.494099140167236,
1774
+ "step": 252
1775
+ },
1776
+ {
1777
+ "epoch": 0.49607843137254903,
1778
+ "grad_norm": 95.78424835205078,
1779
+ "learning_rate": 8.817715486967803e-06,
1780
+ "loss": 4.37385368347168,
1781
+ "step": 253
1782
+ },
1783
+ {
1784
+ "epoch": 0.4980392156862745,
1785
+ "grad_norm": 12.204360008239746,
1786
+ "learning_rate": 8.807439898119252e-06,
1787
+ "loss": 4.433926582336426,
1788
+ "step": 254
1789
+ },
1790
+ {
1791
+ "epoch": 0.5,
1792
+ "grad_norm": 14.268149375915527,
1793
+ "learning_rate": 8.797125890819429e-06,
1794
+ "loss": 4.530971527099609,
1795
+ "step": 255
1796
+ },
1797
+ {
1798
+ "epoch": 0.5019607843137255,
1799
+ "grad_norm": 17.889156341552734,
1800
+ "learning_rate": 8.786773569140414e-06,
1801
+ "loss": 4.126347541809082,
1802
+ "step": 256
1803
+ },
1804
+ {
1805
+ "epoch": 0.503921568627451,
1806
+ "grad_norm": 18.556318283081055,
1807
+ "learning_rate": 8.776383037540888e-06,
1808
+ "loss": 4.337622165679932,
1809
+ "step": 257
1810
+ },
1811
+ {
1812
+ "epoch": 0.5058823529411764,
1813
+ "grad_norm": 679.375244140625,
1814
+ "learning_rate": 8.765954400865093e-06,
1815
+ "loss": 4.433990478515625,
1816
+ "step": 258
1817
+ },
1818
+ {
1819
+ "epoch": 0.5078431372549019,
1820
+ "grad_norm": 42.50425338745117,
1821
+ "learning_rate": 8.755487764341756e-06,
1822
+ "loss": 4.115379810333252,
1823
+ "step": 259
1824
+ },
1825
+ {
1826
+ "epoch": 0.5098039215686274,
1827
+ "grad_norm": 53.077613830566406,
1828
+ "learning_rate": 8.744983233583044e-06,
1829
+ "loss": 4.244760036468506,
1830
+ "step": 260
1831
+ },
1832
+ {
1833
+ "epoch": 0.5117647058823529,
1834
+ "grad_norm": 17.79299545288086,
1835
+ "learning_rate": 8.734440914583486e-06,
1836
+ "loss": 4.051713943481445,
1837
+ "step": 261
1838
+ },
1839
+ {
1840
+ "epoch": 0.5137254901960784,
1841
+ "grad_norm": 15.688224792480469,
1842
+ "learning_rate": 8.72386091371891e-06,
1843
+ "loss": 4.603087425231934,
1844
+ "step": 262
1845
+ },
1846
+ {
1847
+ "epoch": 0.515686274509804,
1848
+ "grad_norm": 55.612709045410156,
1849
+ "learning_rate": 8.713243337745366e-06,
1850
+ "loss": 4.455329418182373,
1851
+ "step": 263
1852
+ },
1853
+ {
1854
+ "epoch": 0.5176470588235295,
1855
+ "grad_norm": 18.093618392944336,
1856
+ "learning_rate": 8.70258829379805e-06,
1857
+ "loss": 4.481441497802734,
1858
+ "step": 264
1859
+ },
1860
+ {
1861
+ "epoch": 0.5196078431372549,
1862
+ "grad_norm": 290.83355712890625,
1863
+ "learning_rate": 8.691895889390228e-06,
1864
+ "loss": 4.285877227783203,
1865
+ "step": 265
1866
+ },
1867
+ {
1868
+ "epoch": 0.5215686274509804,
1869
+ "grad_norm": 17.16389274597168,
1870
+ "learning_rate": 8.681166232412142e-06,
1871
+ "loss": 4.445030212402344,
1872
+ "step": 266
1873
+ },
1874
+ {
1875
+ "epoch": 0.5235294117647059,
1876
+ "grad_norm": 26.885225296020508,
1877
+ "learning_rate": 8.670399431129926e-06,
1878
+ "loss": 4.563932418823242,
1879
+ "step": 267
1880
+ },
1881
+ {
1882
+ "epoch": 0.5254901960784314,
1883
+ "grad_norm": 42.71232604980469,
1884
+ "learning_rate": 8.659595594184516e-06,
1885
+ "loss": 3.8843421936035156,
1886
+ "step": 268
1887
+ },
1888
+ {
1889
+ "epoch": 0.5274509803921569,
1890
+ "grad_norm": 28.694578170776367,
1891
+ "learning_rate": 8.648754830590552e-06,
1892
+ "loss": 3.6372265815734863,
1893
+ "step": 269
1894
+ },
1895
+ {
1896
+ "epoch": 0.5294117647058824,
1897
+ "grad_norm": 43.32936477661133,
1898
+ "learning_rate": 8.637877249735274e-06,
1899
+ "loss": 4.222830295562744,
1900
+ "step": 270
1901
+ },
1902
+ {
1903
+ "epoch": 0.5313725490196078,
1904
+ "grad_norm": 72.35948944091797,
1905
+ "learning_rate": 8.626962961377423e-06,
1906
+ "loss": 4.611291408538818,
1907
+ "step": 271
1908
+ },
1909
+ {
1910
+ "epoch": 0.5333333333333333,
1911
+ "grad_norm": 15.251282691955566,
1912
+ "learning_rate": 8.616012075646134e-06,
1913
+ "loss": 4.276963233947754,
1914
+ "step": 272
1915
+ },
1916
+ {
1917
+ "epoch": 0.5352941176470588,
1918
+ "grad_norm": 776.6341552734375,
1919
+ "learning_rate": 8.605024703039817e-06,
1920
+ "loss": 4.6572585105896,
1921
+ "step": 273
1922
+ },
1923
+ {
1924
+ "epoch": 0.5372549019607843,
1925
+ "grad_norm": 22.79600715637207,
1926
+ "learning_rate": 8.594000954425056e-06,
1927
+ "loss": 4.917038917541504,
1928
+ "step": 274
1929
+ },
1930
+ {
1931
+ "epoch": 0.5392156862745098,
1932
+ "grad_norm": 10.690701484680176,
1933
+ "learning_rate": 8.582940941035476e-06,
1934
+ "loss": 4.69964599609375,
1935
+ "step": 275
1936
+ },
1937
+ {
1938
+ "epoch": 0.5411764705882353,
1939
+ "grad_norm": 86.31309509277344,
1940
+ "learning_rate": 8.571844774470627e-06,
1941
+ "loss": 4.586027145385742,
1942
+ "step": 276
1943
+ },
1944
+ {
1945
+ "epoch": 0.5431372549019607,
1946
+ "grad_norm": 17.10081672668457,
1947
+ "learning_rate": 8.560712566694863e-06,
1948
+ "loss": 4.531658172607422,
1949
+ "step": 277
1950
+ },
1951
+ {
1952
+ "epoch": 0.5450980392156862,
1953
+ "grad_norm": 15.138278007507324,
1954
+ "learning_rate": 8.549544430036198e-06,
1955
+ "loss": 4.515611171722412,
1956
+ "step": 278
1957
+ },
1958
+ {
1959
+ "epoch": 0.5470588235294118,
1960
+ "grad_norm": 11.231842994689941,
1961
+ "learning_rate": 8.538340477185191e-06,
1962
+ "loss": 4.401930809020996,
1963
+ "step": 279
1964
+ },
1965
+ {
1966
+ "epoch": 0.5490196078431373,
1967
+ "grad_norm": 9.649141311645508,
1968
+ "learning_rate": 8.527100821193797e-06,
1969
+ "loss": 4.2050909996032715,
1970
+ "step": 280
1971
+ },
1972
+ {
1973
+ "epoch": 0.5509803921568628,
1974
+ "grad_norm": 44.636756896972656,
1975
+ "learning_rate": 8.51582557547422e-06,
1976
+ "loss": 4.522353649139404,
1977
+ "step": 281
1978
+ },
1979
+ {
1980
+ "epoch": 0.5529411764705883,
1981
+ "grad_norm": 10.403969764709473,
1982
+ "learning_rate": 8.504514853797789e-06,
1983
+ "loss": 4.316591262817383,
1984
+ "step": 282
1985
+ },
1986
+ {
1987
+ "epoch": 0.5549019607843138,
1988
+ "grad_norm": 45.07345199584961,
1989
+ "learning_rate": 8.493168770293793e-06,
1990
+ "loss": 4.220366477966309,
1991
+ "step": 283
1992
+ },
1993
+ {
1994
+ "epoch": 0.5568627450980392,
1995
+ "grad_norm": 81.64495849609375,
1996
+ "learning_rate": 8.481787439448332e-06,
1997
+ "loss": 4.375057220458984,
1998
+ "step": 284
1999
+ },
2000
+ {
2001
+ "epoch": 0.5588235294117647,
2002
+ "grad_norm": 22.120563507080078,
2003
+ "learning_rate": 8.470370976103171e-06,
2004
+ "loss": 4.166134834289551,
2005
+ "step": 285
2006
+ },
2007
+ {
2008
+ "epoch": 0.5607843137254902,
2009
+ "grad_norm": 10.833823204040527,
2010
+ "learning_rate": 8.458919495454567e-06,
2011
+ "loss": 4.409770965576172,
2012
+ "step": 286
2013
+ },
2014
+ {
2015
+ "epoch": 0.5627450980392157,
2016
+ "grad_norm": 81.50211334228516,
2017
+ "learning_rate": 8.447433113052124e-06,
2018
+ "loss": 4.4287190437316895,
2019
+ "step": 287
2020
+ },
2021
+ {
2022
+ "epoch": 0.5647058823529412,
2023
+ "grad_norm": 16.984268188476562,
2024
+ "learning_rate": 8.435911944797605e-06,
2025
+ "loss": 4.146420955657959,
2026
+ "step": 288
2027
+ },
2028
+ {
2029
+ "epoch": 0.5666666666666667,
2030
+ "grad_norm": 85.84491729736328,
2031
+ "learning_rate": 8.42435610694379e-06,
2032
+ "loss": 4.802792549133301,
2033
+ "step": 289
2034
+ },
2035
+ {
2036
+ "epoch": 0.5686274509803921,
2037
+ "grad_norm": 1234.199951171875,
2038
+ "learning_rate": 8.412765716093273e-06,
2039
+ "loss": 4.3419270515441895,
2040
+ "step": 290
2041
+ },
2042
+ {
2043
+ "epoch": 0.5705882352941176,
2044
+ "grad_norm": 12.962360382080078,
2045
+ "learning_rate": 8.401140889197305e-06,
2046
+ "loss": 4.3528547286987305,
2047
+ "step": 291
2048
+ },
2049
+ {
2050
+ "epoch": 0.5725490196078431,
2051
+ "grad_norm": 26.18000030517578,
2052
+ "learning_rate": 8.38948174355462e-06,
2053
+ "loss": 4.065543174743652,
2054
+ "step": 292
2055
+ },
2056
+ {
2057
+ "epoch": 0.5745098039215686,
2058
+ "grad_norm": 35.139549255371094,
2059
+ "learning_rate": 8.377788396810223e-06,
2060
+ "loss": 4.251129150390625,
2061
+ "step": 293
2062
+ },
2063
+ {
2064
+ "epoch": 0.5764705882352941,
2065
+ "grad_norm": 37.94339370727539,
2066
+ "learning_rate": 8.366060966954235e-06,
2067
+ "loss": 4.624574661254883,
2068
+ "step": 294
2069
+ },
2070
+ {
2071
+ "epoch": 0.5784313725490197,
2072
+ "grad_norm": 11.896288871765137,
2073
+ "learning_rate": 8.354299572320679e-06,
2074
+ "loss": 4.315122604370117,
2075
+ "step": 295
2076
+ },
2077
+ {
2078
+ "epoch": 0.5803921568627451,
2079
+ "grad_norm": 41.16322708129883,
2080
+ "learning_rate": 8.342504331586298e-06,
2081
+ "loss": 4.489446640014648,
2082
+ "step": 296
2083
+ },
2084
+ {
2085
+ "epoch": 0.5823529411764706,
2086
+ "grad_norm": 28.843425750732422,
2087
+ "learning_rate": 8.330675363769356e-06,
2088
+ "loss": 4.456976890563965,
2089
+ "step": 297
2090
+ },
2091
+ {
2092
+ "epoch": 0.5843137254901961,
2093
+ "grad_norm": 14.19128704071045,
2094
+ "learning_rate": 8.318812788228434e-06,
2095
+ "loss": 4.4964447021484375,
2096
+ "step": 298
2097
+ },
2098
+ {
2099
+ "epoch": 0.5862745098039216,
2100
+ "grad_norm": 41.6136474609375,
2101
+ "learning_rate": 8.306916724661225e-06,
2102
+ "loss": 4.119976043701172,
2103
+ "step": 299
2104
+ },
2105
+ {
2106
+ "epoch": 0.5882352941176471,
2107
+ "grad_norm": 20.12372398376465,
2108
+ "learning_rate": 8.294987293103334e-06,
2109
+ "loss": 4.503427505493164,
2110
+ "step": 300
2111
+ },
2112
+ {
2113
+ "epoch": 0.5901960784313726,
2114
+ "grad_norm": 96.8432846069336,
2115
+ "learning_rate": 8.283024613927055e-06,
2116
+ "loss": 4.409475326538086,
2117
+ "step": 301
2118
+ },
2119
+ {
2120
+ "epoch": 0.592156862745098,
2121
+ "grad_norm": 24.83096694946289,
2122
+ "learning_rate": 8.271028807840164e-06,
2123
+ "loss": 4.263705730438232,
2124
+ "step": 302
2125
+ },
2126
+ {
2127
+ "epoch": 0.5941176470588235,
2128
+ "grad_norm": 92.04113006591797,
2129
+ "learning_rate": 8.258999995884706e-06,
2130
+ "loss": 4.188453674316406,
2131
+ "step": 303
2132
+ },
2133
+ {
2134
+ "epoch": 0.596078431372549,
2135
+ "grad_norm": 32.55808639526367,
2136
+ "learning_rate": 8.246938299435759e-06,
2137
+ "loss": 4.0705437660217285,
2138
+ "step": 304
2139
+ },
2140
+ {
2141
+ "epoch": 0.5980392156862745,
2142
+ "grad_norm": 28.917774200439453,
2143
+ "learning_rate": 8.234843840200218e-06,
2144
+ "loss": 4.273771286010742,
2145
+ "step": 305
2146
+ },
2147
+ {
2148
+ "epoch": 0.6,
2149
+ "grad_norm": 14.942693710327148,
2150
+ "learning_rate": 8.222716740215573e-06,
2151
+ "loss": 4.468536376953125,
2152
+ "step": 306
2153
+ },
2154
+ {
2155
+ "epoch": 0.6019607843137255,
2156
+ "grad_norm": 76.9916763305664,
2157
+ "learning_rate": 8.210557121848664e-06,
2158
+ "loss": 4.393499851226807,
2159
+ "step": 307
2160
+ },
2161
+ {
2162
+ "epoch": 0.6039215686274509,
2163
+ "grad_norm": 87.08967590332031,
2164
+ "learning_rate": 8.198365107794457e-06,
2165
+ "loss": 4.2165422439575195,
2166
+ "step": 308
2167
+ },
2168
+ {
2169
+ "epoch": 0.6058823529411764,
2170
+ "grad_norm": 76.53693389892578,
2171
+ "learning_rate": 8.186140821074801e-06,
2172
+ "loss": 4.373100757598877,
2173
+ "step": 309
2174
+ },
2175
+ {
2176
+ "epoch": 0.6078431372549019,
2177
+ "grad_norm": 13.614083290100098,
2178
+ "learning_rate": 8.173884385037193e-06,
2179
+ "loss": 4.481573581695557,
2180
+ "step": 310
2181
+ },
2182
+ {
2183
+ "epoch": 0.6098039215686275,
2184
+ "grad_norm": 39.6025505065918,
2185
+ "learning_rate": 8.161595923353516e-06,
2186
+ "loss": 4.316531181335449,
2187
+ "step": 311
2188
+ },
2189
+ {
2190
+ "epoch": 0.611764705882353,
2191
+ "grad_norm": 41.38591003417969,
2192
+ "learning_rate": 8.149275560018816e-06,
2193
+ "loss": 4.617020130157471,
2194
+ "step": 312
2195
+ },
2196
+ {
2197
+ "epoch": 0.6137254901960785,
2198
+ "grad_norm": 156.15367126464844,
2199
+ "learning_rate": 8.136923419350032e-06,
2200
+ "loss": 4.4222869873046875,
2201
+ "step": 313
2202
+ },
2203
+ {
2204
+ "epoch": 0.615686274509804,
2205
+ "grad_norm": 32.320045471191406,
2206
+ "learning_rate": 8.12453962598475e-06,
2207
+ "loss": 4.656857967376709,
2208
+ "step": 314
2209
+ },
2210
+ {
2211
+ "epoch": 0.6176470588235294,
2212
+ "grad_norm": 17.588327407836914,
2213
+ "learning_rate": 8.112124304879938e-06,
2214
+ "loss": 4.441835403442383,
2215
+ "step": 315
2216
+ },
2217
+ {
2218
+ "epoch": 0.6196078431372549,
2219
+ "grad_norm": 30.43013572692871,
2220
+ "learning_rate": 8.0996775813107e-06,
2221
+ "loss": 4.392027854919434,
2222
+ "step": 316
2223
+ },
2224
+ {
2225
+ "epoch": 0.6215686274509804,
2226
+ "grad_norm": 21.386093139648438,
2227
+ "learning_rate": 8.087199580868997e-06,
2228
+ "loss": 4.848608016967773,
2229
+ "step": 317
2230
+ },
2231
+ {
2232
+ "epoch": 0.6235294117647059,
2233
+ "grad_norm": 81.71918487548828,
2234
+ "learning_rate": 8.07469042946238e-06,
2235
+ "loss": 4.443190097808838,
2236
+ "step": 318
2237
+ },
2238
+ {
2239
+ "epoch": 0.6254901960784314,
2240
+ "grad_norm": 20.856964111328125,
2241
+ "learning_rate": 8.062150253312735e-06,
2242
+ "loss": 4.9603166580200195,
2243
+ "step": 319
2244
+ },
2245
+ {
2246
+ "epoch": 0.6274509803921569,
2247
+ "grad_norm": 145.81161499023438,
2248
+ "learning_rate": 8.04957917895499e-06,
2249
+ "loss": 4.618847846984863,
2250
+ "step": 320
2251
+ },
2252
+ {
2253
+ "epoch": 0.6294117647058823,
2254
+ "grad_norm": 14.190864562988281,
2255
+ "learning_rate": 8.03697733323585e-06,
2256
+ "loss": 4.593096733093262,
2257
+ "step": 321
2258
+ },
2259
+ {
2260
+ "epoch": 0.6313725490196078,
2261
+ "grad_norm": 23.47496795654297,
2262
+ "learning_rate": 8.024344843312517e-06,
2263
+ "loss": 4.16273307800293,
2264
+ "step": 322
2265
+ },
2266
+ {
2267
+ "epoch": 0.6333333333333333,
2268
+ "grad_norm": 39.30678176879883,
2269
+ "learning_rate": 8.011681836651401e-06,
2270
+ "loss": 4.198973655700684,
2271
+ "step": 323
2272
+ },
2273
+ {
2274
+ "epoch": 0.6352941176470588,
2275
+ "grad_norm": 55.29441452026367,
2276
+ "learning_rate": 7.99898844102684e-06,
2277
+ "loss": 4.373217582702637,
2278
+ "step": 324
2279
+ },
2280
+ {
2281
+ "epoch": 0.6372549019607843,
2282
+ "grad_norm": 87.39408111572266,
2283
+ "learning_rate": 7.986264784519801e-06,
2284
+ "loss": 4.491955280303955,
2285
+ "step": 325
2286
+ },
2287
+ {
2288
+ "epoch": 0.6392156862745098,
2289
+ "grad_norm": 71.22431182861328,
2290
+ "learning_rate": 7.973510995516603e-06,
2291
+ "loss": 4.367103576660156,
2292
+ "step": 326
2293
+ },
2294
+ {
2295
+ "epoch": 0.6411764705882353,
2296
+ "grad_norm": 32.032073974609375,
2297
+ "learning_rate": 7.960727202707605e-06,
2298
+ "loss": 4.673696041107178,
2299
+ "step": 327
2300
+ },
2301
+ {
2302
+ "epoch": 0.6431372549019608,
2303
+ "grad_norm": 14.861653327941895,
2304
+ "learning_rate": 7.947913535085925e-06,
2305
+ "loss": 4.37457275390625,
2306
+ "step": 328
2307
+ },
2308
+ {
2309
+ "epoch": 0.6450980392156863,
2310
+ "grad_norm": 43.02954864501953,
2311
+ "learning_rate": 7.935070121946116e-06,
2312
+ "loss": 4.4756364822387695,
2313
+ "step": 329
2314
+ },
2315
+ {
2316
+ "epoch": 0.6470588235294118,
2317
+ "grad_norm": 40.1738395690918,
2318
+ "learning_rate": 7.922197092882882e-06,
2319
+ "loss": 4.393209457397461,
2320
+ "step": 330
2321
+ },
2322
+ {
2323
+ "epoch": 0.6490196078431373,
2324
+ "grad_norm": 58.01616668701172,
2325
+ "learning_rate": 7.909294577789765e-06,
2326
+ "loss": 4.345884323120117,
2327
+ "step": 331
2328
+ },
2329
+ {
2330
+ "epoch": 0.6509803921568628,
2331
+ "grad_norm": 14.342921257019043,
2332
+ "learning_rate": 7.896362706857825e-06,
2333
+ "loss": 4.297840118408203,
2334
+ "step": 332
2335
+ },
2336
+ {
2337
+ "epoch": 0.6529411764705882,
2338
+ "grad_norm": 8.965250015258789,
2339
+ "learning_rate": 7.883401610574338e-06,
2340
+ "loss": 4.571505546569824,
2341
+ "step": 333
2342
+ },
2343
+ {
2344
+ "epoch": 0.6549019607843137,
2345
+ "grad_norm": 21.012739181518555,
2346
+ "learning_rate": 7.870411419721468e-06,
2347
+ "loss": 4.734814167022705,
2348
+ "step": 334
2349
+ },
2350
+ {
2351
+ "epoch": 0.6568627450980392,
2352
+ "grad_norm": 30.89315414428711,
2353
+ "learning_rate": 7.857392265374963e-06,
2354
+ "loss": 4.410980701446533,
2355
+ "step": 335
2356
+ },
2357
+ {
2358
+ "epoch": 0.6588235294117647,
2359
+ "grad_norm": 9.218079566955566,
2360
+ "learning_rate": 7.844344278902815e-06,
2361
+ "loss": 4.341933250427246,
2362
+ "step": 336
2363
+ },
2364
+ {
2365
+ "epoch": 0.6607843137254902,
2366
+ "grad_norm": 17.145496368408203,
2367
+ "learning_rate": 7.83126759196395e-06,
2368
+ "loss": 4.177962779998779,
2369
+ "step": 337
2370
+ },
2371
+ {
2372
+ "epoch": 0.6627450980392157,
2373
+ "grad_norm": 16.176719665527344,
2374
+ "learning_rate": 7.818162336506885e-06,
2375
+ "loss": 4.377812385559082,
2376
+ "step": 338
2377
+ },
2378
+ {
2379
+ "epoch": 0.6647058823529411,
2380
+ "grad_norm": 23.922420501708984,
2381
+ "learning_rate": 7.805028644768407e-06,
2382
+ "loss": 3.9010050296783447,
2383
+ "step": 339
2384
+ },
2385
+ {
2386
+ "epoch": 0.6666666666666666,
2387
+ "grad_norm": 467.1762390136719,
2388
+ "learning_rate": 7.791866649272236e-06,
2389
+ "loss": 4.715754508972168,
2390
+ "step": 340
2391
+ },
2392
+ {
2393
+ "epoch": 0.6686274509803921,
2394
+ "grad_norm": 86.71304321289062,
2395
+ "learning_rate": 7.778676482827686e-06,
2396
+ "loss": 4.450630187988281,
2397
+ "step": 341
2398
+ },
2399
+ {
2400
+ "epoch": 0.6705882352941176,
2401
+ "grad_norm": 208.03579711914062,
2402
+ "learning_rate": 7.765458278528327e-06,
2403
+ "loss": 4.261456489562988,
2404
+ "step": 342
2405
+ },
2406
+ {
2407
+ "epoch": 0.6725490196078432,
2408
+ "grad_norm": 10.478469848632812,
2409
+ "learning_rate": 7.752212169750642e-06,
2410
+ "loss": 3.6522653102874756,
2411
+ "step": 343
2412
+ },
2413
+ {
2414
+ "epoch": 0.6745098039215687,
2415
+ "grad_norm": 109.38081359863281,
2416
+ "learning_rate": 7.738938290152675e-06,
2417
+ "loss": 4.505516529083252,
2418
+ "step": 344
2419
+ },
2420
+ {
2421
+ "epoch": 0.6764705882352942,
2422
+ "grad_norm": 114.52716827392578,
2423
+ "learning_rate": 7.725636773672694e-06,
2424
+ "loss": 4.370604038238525,
2425
+ "step": 345
2426
+ },
2427
+ {
2428
+ "epoch": 0.6784313725490196,
2429
+ "grad_norm": 14.925344467163086,
2430
+ "learning_rate": 7.712307754527832e-06,
2431
+ "loss": 4.476314544677734,
2432
+ "step": 346
2433
+ },
2434
+ {
2435
+ "epoch": 0.6803921568627451,
2436
+ "grad_norm": 53.75554275512695,
2437
+ "learning_rate": 7.69895136721273e-06,
2438
+ "loss": 4.616474151611328,
2439
+ "step": 347
2440
+ },
2441
+ {
2442
+ "epoch": 0.6823529411764706,
2443
+ "grad_norm": 42.78981399536133,
2444
+ "learning_rate": 7.685567746498191e-06,
2445
+ "loss": 4.426451683044434,
2446
+ "step": 348
2447
+ },
2448
+ {
2449
+ "epoch": 0.6843137254901961,
2450
+ "grad_norm": 80.6156234741211,
2451
+ "learning_rate": 7.672157027429803e-06,
2452
+ "loss": 4.43165397644043,
2453
+ "step": 349
2454
+ },
2455
+ {
2456
+ "epoch": 0.6862745098039216,
2457
+ "grad_norm": 46.6151123046875,
2458
+ "learning_rate": 7.658719345326595e-06,
2459
+ "loss": 4.440042495727539,
2460
+ "step": 350
2461
+ },
2462
+ {
2463
+ "epoch": 0.6882352941176471,
2464
+ "grad_norm": 104.17079162597656,
2465
+ "learning_rate": 7.645254835779657e-06,
2466
+ "loss": 4.430392265319824,
2467
+ "step": 351
2468
+ },
2469
+ {
2470
+ "epoch": 0.6901960784313725,
2471
+ "grad_norm": 502.8309020996094,
2472
+ "learning_rate": 7.631763634650783e-06,
2473
+ "loss": 4.152275562286377,
2474
+ "step": 352
2475
+ },
2476
+ {
2477
+ "epoch": 0.692156862745098,
2478
+ "grad_norm": 23.371397018432617,
2479
+ "learning_rate": 7.618245878071091e-06,
2480
+ "loss": 4.074784278869629,
2481
+ "step": 353
2482
+ },
2483
+ {
2484
+ "epoch": 0.6941176470588235,
2485
+ "grad_norm": 93.83110809326172,
2486
+ "learning_rate": 7.604701702439652e-06,
2487
+ "loss": 4.7920379638671875,
2488
+ "step": 354
2489
+ },
2490
+ {
2491
+ "epoch": 0.696078431372549,
2492
+ "grad_norm": 20.388896942138672,
2493
+ "learning_rate": 7.591131244422118e-06,
2494
+ "loss": 4.258466720581055,
2495
+ "step": 355
2496
+ },
2497
+ {
2498
+ "epoch": 0.6980392156862745,
2499
+ "grad_norm": 25.022539138793945,
2500
+ "learning_rate": 7.57753464094934e-06,
2501
+ "loss": 4.348616600036621,
2502
+ "step": 356
2503
+ },
2504
+ {
2505
+ "epoch": 0.7,
2506
+ "grad_norm": 24.122034072875977,
2507
+ "learning_rate": 7.563912029215983e-06,
2508
+ "loss": 4.450387954711914,
2509
+ "step": 357
2510
+ },
2511
+ {
2512
+ "epoch": 0.7019607843137254,
2513
+ "grad_norm": 47.63944625854492,
2514
+ "learning_rate": 7.550263546679148e-06,
2515
+ "loss": 4.950525760650635,
2516
+ "step": 358
2517
+ },
2518
+ {
2519
+ "epoch": 0.703921568627451,
2520
+ "grad_norm": 18.94533348083496,
2521
+ "learning_rate": 7.536589331056976e-06,
2522
+ "loss": 5.012373924255371,
2523
+ "step": 359
2524
+ },
2525
+ {
2526
+ "epoch": 0.7058823529411765,
2527
+ "grad_norm": 96.9211196899414,
2528
+ "learning_rate": 7.522889520327275e-06,
2529
+ "loss": 4.925107955932617,
2530
+ "step": 360
2531
+ },
2532
+ {
2533
+ "epoch": 0.707843137254902,
2534
+ "grad_norm": 42.01844024658203,
2535
+ "learning_rate": 7.509164252726107e-06,
2536
+ "loss": 4.5356903076171875,
2537
+ "step": 361
2538
+ },
2539
+ {
2540
+ "epoch": 0.7098039215686275,
2541
+ "grad_norm": 59.13837814331055,
2542
+ "learning_rate": 7.495413666746406e-06,
2543
+ "loss": 4.559690475463867,
2544
+ "step": 362
2545
+ },
2546
+ {
2547
+ "epoch": 0.711764705882353,
2548
+ "grad_norm": 67.81266784667969,
2549
+ "learning_rate": 7.481637901136578e-06,
2550
+ "loss": 4.372148513793945,
2551
+ "step": 363
2552
+ },
2553
+ {
2554
+ "epoch": 0.7137254901960784,
2555
+ "grad_norm": 35.04251480102539,
2556
+ "learning_rate": 7.467837094899104e-06,
2557
+ "loss": 4.26740837097168,
2558
+ "step": 364
2559
+ },
2560
+ {
2561
+ "epoch": 0.7156862745098039,
2562
+ "grad_norm": 28.242380142211914,
2563
+ "learning_rate": 7.454011387289127e-06,
2564
+ "loss": 4.79606819152832,
2565
+ "step": 365
2566
+ },
2567
+ {
2568
+ "epoch": 0.7176470588235294,
2569
+ "grad_norm": 33.4775505065918,
2570
+ "learning_rate": 7.440160917813059e-06,
2571
+ "loss": 4.412802696228027,
2572
+ "step": 366
2573
+ },
2574
+ {
2575
+ "epoch": 0.7196078431372549,
2576
+ "grad_norm": 58.53046417236328,
2577
+ "learning_rate": 7.426285826227171e-06,
2578
+ "loss": 3.844216823577881,
2579
+ "step": 367
2580
+ },
2581
+ {
2582
+ "epoch": 0.7215686274509804,
2583
+ "grad_norm": 67.4899673461914,
2584
+ "learning_rate": 7.412386252536168e-06,
2585
+ "loss": 4.131912708282471,
2586
+ "step": 368
2587
+ },
2588
+ {
2589
+ "epoch": 0.7235294117647059,
2590
+ "grad_norm": 3803.90185546875,
2591
+ "learning_rate": 7.398462336991802e-06,
2592
+ "loss": 4.365766525268555,
2593
+ "step": 369
2594
+ },
2595
+ {
2596
+ "epoch": 0.7254901960784313,
2597
+ "grad_norm": 76.64689636230469,
2598
+ "learning_rate": 7.384514220091437e-06,
2599
+ "loss": 4.796448707580566,
2600
+ "step": 370
2601
+ },
2602
+ {
2603
+ "epoch": 0.7274509803921568,
2604
+ "grad_norm": 101.20423126220703,
2605
+ "learning_rate": 7.370542042576635e-06,
2606
+ "loss": 4.397182941436768,
2607
+ "step": 371
2608
+ },
2609
+ {
2610
+ "epoch": 0.7294117647058823,
2611
+ "grad_norm": 73.64826965332031,
2612
+ "learning_rate": 7.356545945431744e-06,
2613
+ "loss": 4.440197944641113,
2614
+ "step": 372
2615
+ },
2616
+ {
2617
+ "epoch": 0.7313725490196078,
2618
+ "grad_norm": 66.81968688964844,
2619
+ "learning_rate": 7.342526069882465e-06,
2620
+ "loss": 4.575042724609375,
2621
+ "step": 373
2622
+ },
2623
+ {
2624
+ "epoch": 0.7333333333333333,
2625
+ "grad_norm": 40.752525329589844,
2626
+ "learning_rate": 7.328482557394435e-06,
2627
+ "loss": 4.159431457519531,
2628
+ "step": 374
2629
+ },
2630
+ {
2631
+ "epoch": 0.7352941176470589,
2632
+ "grad_norm": 27.12578010559082,
2633
+ "learning_rate": 7.314415549671795e-06,
2634
+ "loss": 4.4377336502075195,
2635
+ "step": 375
2636
+ },
2637
+ {
2638
+ "epoch": 0.7372549019607844,
2639
+ "grad_norm": 231.64231872558594,
2640
+ "learning_rate": 7.300325188655762e-06,
2641
+ "loss": 4.438188552856445,
2642
+ "step": 376
2643
+ },
2644
+ {
2645
+ "epoch": 0.7392156862745098,
2646
+ "grad_norm": 23.71122932434082,
2647
+ "learning_rate": 7.286211616523193e-06,
2648
+ "loss": 4.190389633178711,
2649
+ "step": 377
2650
+ },
2651
+ {
2652
+ "epoch": 0.7411764705882353,
2653
+ "grad_norm": 277.79718017578125,
2654
+ "learning_rate": 7.27207497568516e-06,
2655
+ "loss": 3.8417224884033203,
2656
+ "step": 378
2657
+ },
2658
+ {
2659
+ "epoch": 0.7431372549019608,
2660
+ "grad_norm": 30.528398513793945,
2661
+ "learning_rate": 7.257915408785499e-06,
2662
+ "loss": 4.584486961364746,
2663
+ "step": 379
2664
+ },
2665
+ {
2666
+ "epoch": 0.7450980392156863,
2667
+ "grad_norm": 618.6641845703125,
2668
+ "learning_rate": 7.243733058699386e-06,
2669
+ "loss": 4.159678936004639,
2670
+ "step": 380
2671
+ },
2672
+ {
2673
+ "epoch": 0.7470588235294118,
2674
+ "grad_norm": 20.201461791992188,
2675
+ "learning_rate": 7.229528068531881e-06,
2676
+ "loss": 4.334630489349365,
2677
+ "step": 381
2678
+ },
2679
+ {
2680
+ "epoch": 0.7490196078431373,
2681
+ "grad_norm": 69.16433715820312,
2682
+ "learning_rate": 7.215300581616496e-06,
2683
+ "loss": 4.4458160400390625,
2684
+ "step": 382
2685
+ },
2686
+ {
2687
+ "epoch": 0.7509803921568627,
2688
+ "grad_norm": 50.7408332824707,
2689
+ "learning_rate": 7.201050741513735e-06,
2690
+ "loss": 4.584663391113281,
2691
+ "step": 383
2692
+ },
2693
+ {
2694
+ "epoch": 0.7529411764705882,
2695
+ "grad_norm": 71.0459213256836,
2696
+ "learning_rate": 7.186778692009669e-06,
2697
+ "loss": 4.636325359344482,
2698
+ "step": 384
2699
+ },
2700
+ {
2701
+ "epoch": 0.7549019607843137,
2702
+ "grad_norm": 38.0345344543457,
2703
+ "learning_rate": 7.172484577114452e-06,
2704
+ "loss": 4.060024261474609,
2705
+ "step": 385
2706
+ },
2707
+ {
2708
+ "epoch": 0.7568627450980392,
2709
+ "grad_norm": 40.320499420166016,
2710
+ "learning_rate": 7.1581685410609e-06,
2711
+ "loss": 4.512998580932617,
2712
+ "step": 386
2713
+ },
2714
+ {
2715
+ "epoch": 0.7588235294117647,
2716
+ "grad_norm": 33.043148040771484,
2717
+ "learning_rate": 7.1438307283030106e-06,
2718
+ "loss": 4.692201614379883,
2719
+ "step": 387
2720
+ },
2721
+ {
2722
+ "epoch": 0.7607843137254902,
2723
+ "grad_norm": 137.872314453125,
2724
+ "learning_rate": 7.129471283514525e-06,
2725
+ "loss": 4.415122985839844,
2726
+ "step": 388
2727
+ },
2728
+ {
2729
+ "epoch": 0.7627450980392156,
2730
+ "grad_norm": 76.47061157226562,
2731
+ "learning_rate": 7.115090351587455e-06,
2732
+ "loss": 4.573295593261719,
2733
+ "step": 389
2734
+ },
2735
+ {
2736
+ "epoch": 0.7647058823529411,
2737
+ "grad_norm": 328.7730712890625,
2738
+ "learning_rate": 7.100688077630628e-06,
2739
+ "loss": 4.141142845153809,
2740
+ "step": 390
2741
+ },
2742
+ {
2743
+ "epoch": 0.7666666666666667,
2744
+ "grad_norm": 43.609642028808594,
2745
+ "learning_rate": 7.086264606968215e-06,
2746
+ "loss": 4.211104393005371,
2747
+ "step": 391
2748
+ },
2749
+ {
2750
+ "epoch": 0.7686274509803922,
2751
+ "grad_norm": 125.07260131835938,
2752
+ "learning_rate": 7.071820085138275e-06,
2753
+ "loss": 4.797672271728516,
2754
+ "step": 392
2755
+ },
2756
+ {
2757
+ "epoch": 0.7705882352941177,
2758
+ "grad_norm": 61.34317398071289,
2759
+ "learning_rate": 7.05735465789128e-06,
2760
+ "loss": 4.348987579345703,
2761
+ "step": 393
2762
+ },
2763
+ {
2764
+ "epoch": 0.7725490196078432,
2765
+ "grad_norm": 75.8901596069336,
2766
+ "learning_rate": 7.042868471188642e-06,
2767
+ "loss": 4.376434803009033,
2768
+ "step": 394
2769
+ },
2770
+ {
2771
+ "epoch": 0.7745098039215687,
2772
+ "grad_norm": 172.4529571533203,
2773
+ "learning_rate": 7.028361671201245e-06,
2774
+ "loss": 4.280189514160156,
2775
+ "step": 395
2776
+ },
2777
+ {
2778
+ "epoch": 0.7764705882352941,
2779
+ "grad_norm": 67.70394897460938,
2780
+ "learning_rate": 7.013834404307972e-06,
2781
+ "loss": 4.715417861938477,
2782
+ "step": 396
2783
+ },
2784
+ {
2785
+ "epoch": 0.7784313725490196,
2786
+ "grad_norm": 17.541534423828125,
2787
+ "learning_rate": 6.9992868170942205e-06,
2788
+ "loss": 4.301790237426758,
2789
+ "step": 397
2790
+ },
2791
+ {
2792
+ "epoch": 0.7803921568627451,
2793
+ "grad_norm": 17.7639217376709,
2794
+ "learning_rate": 6.9847190563504284e-06,
2795
+ "loss": 4.332895278930664,
2796
+ "step": 398
2797
+ },
2798
+ {
2799
+ "epoch": 0.7823529411764706,
2800
+ "grad_norm": 77.33992767333984,
2801
+ "learning_rate": 6.970131269070591e-06,
2802
+ "loss": 4.072659492492676,
2803
+ "step": 399
2804
+ },
2805
+ {
2806
+ "epoch": 0.7843137254901961,
2807
+ "grad_norm": 30.242053985595703,
2808
+ "learning_rate": 6.95552360245078e-06,
2809
+ "loss": 4.5907301902771,
2810
+ "step": 400
2811
+ },
2812
+ {
2813
+ "epoch": 0.7862745098039216,
2814
+ "grad_norm": 157.5186767578125,
2815
+ "learning_rate": 6.940896203887659e-06,
2816
+ "loss": 4.161381721496582,
2817
+ "step": 401
2818
+ },
2819
+ {
2820
+ "epoch": 0.788235294117647,
2821
+ "grad_norm": 48.990875244140625,
2822
+ "learning_rate": 6.926249220976988e-06,
2823
+ "loss": 4.169566631317139,
2824
+ "step": 402
2825
+ },
2826
+ {
2827
+ "epoch": 0.7901960784313725,
2828
+ "grad_norm": 33.2501220703125,
2829
+ "learning_rate": 6.911582801512146e-06,
2830
+ "loss": 4.37021017074585,
2831
+ "step": 403
2832
+ },
2833
+ {
2834
+ "epoch": 0.792156862745098,
2835
+ "grad_norm": 29.51424789428711,
2836
+ "learning_rate": 6.8968970934826296e-06,
2837
+ "loss": 3.938095808029175,
2838
+ "step": 404
2839
+ },
2840
+ {
2841
+ "epoch": 0.7941176470588235,
2842
+ "grad_norm": 86.2677001953125,
2843
+ "learning_rate": 6.88219224507257e-06,
2844
+ "loss": 4.483772277832031,
2845
+ "step": 405
2846
+ },
2847
+ {
2848
+ "epoch": 0.796078431372549,
2849
+ "grad_norm": 25.195167541503906,
2850
+ "learning_rate": 6.867468404659222e-06,
2851
+ "loss": 4.458285331726074,
2852
+ "step": 406
2853
+ },
2854
+ {
2855
+ "epoch": 0.7980392156862746,
2856
+ "grad_norm": 22.213388442993164,
2857
+ "learning_rate": 6.852725720811487e-06,
2858
+ "loss": 3.883963108062744,
2859
+ "step": 407
2860
+ },
2861
+ {
2862
+ "epoch": 0.8,
2863
+ "grad_norm": 60.982303619384766,
2864
+ "learning_rate": 6.837964342288399e-06,
2865
+ "loss": 4.16390323638916,
2866
+ "step": 408
2867
+ },
2868
+ {
2869
+ "epoch": 0.8019607843137255,
2870
+ "grad_norm": 255.90065002441406,
2871
+ "learning_rate": 6.823184418037625e-06,
2872
+ "loss": 4.246565818786621,
2873
+ "step": 409
2874
+ },
2875
+ {
2876
+ "epoch": 0.803921568627451,
2877
+ "grad_norm": 80.53013610839844,
2878
+ "learning_rate": 6.808386097193969e-06,
2879
+ "loss": 3.941505193710327,
2880
+ "step": 410
2881
+ },
2882
+ {
2883
+ "epoch": 0.8058823529411765,
2884
+ "grad_norm": 70.98387145996094,
2885
+ "learning_rate": 6.793569529077864e-06,
2886
+ "loss": 4.301395416259766,
2887
+ "step": 411
2888
+ },
2889
+ {
2890
+ "epoch": 0.807843137254902,
2891
+ "grad_norm": 117.46578979492188,
2892
+ "learning_rate": 6.778734863193862e-06,
2893
+ "loss": 4.3663835525512695,
2894
+ "step": 412
2895
+ },
2896
+ {
2897
+ "epoch": 0.8098039215686275,
2898
+ "grad_norm": 32.978851318359375,
2899
+ "learning_rate": 6.76388224922913e-06,
2900
+ "loss": 4.204647064208984,
2901
+ "step": 413
2902
+ },
2903
+ {
2904
+ "epoch": 0.8117647058823529,
2905
+ "grad_norm": 21.284744262695312,
2906
+ "learning_rate": 6.7490118370519356e-06,
2907
+ "loss": 4.878431797027588,
2908
+ "step": 414
2909
+ },
2910
+ {
2911
+ "epoch": 0.8137254901960784,
2912
+ "grad_norm": 116.35888671875,
2913
+ "learning_rate": 6.7341237767101375e-06,
2914
+ "loss": 4.751389503479004,
2915
+ "step": 415
2916
+ },
2917
+ {
2918
+ "epoch": 0.8156862745098039,
2919
+ "grad_norm": 58.715450286865234,
2920
+ "learning_rate": 6.7192182184296725e-06,
2921
+ "loss": 4.176122665405273,
2922
+ "step": 416
2923
+ },
2924
+ {
2925
+ "epoch": 0.8176470588235294,
2926
+ "grad_norm": 266.84912109375,
2927
+ "learning_rate": 6.704295312613037e-06,
2928
+ "loss": 4.090945243835449,
2929
+ "step": 417
2930
+ },
2931
+ {
2932
+ "epoch": 0.8196078431372549,
2933
+ "grad_norm": 282.4599609375,
2934
+ "learning_rate": 6.689355209837769e-06,
2935
+ "loss": 4.8022003173828125,
2936
+ "step": 418
2937
+ },
2938
+ {
2939
+ "epoch": 0.8215686274509804,
2940
+ "grad_norm": 17.034099578857422,
2941
+ "learning_rate": 6.674398060854931e-06,
2942
+ "loss": 4.382605075836182,
2943
+ "step": 419
2944
+ },
2945
+ {
2946
+ "epoch": 0.8235294117647058,
2947
+ "grad_norm": 45.16923904418945,
2948
+ "learning_rate": 6.65942401658759e-06,
2949
+ "loss": 4.5414934158325195,
2950
+ "step": 420
2951
+ },
2952
+ {
2953
+ "epoch": 0.8254901960784313,
2954
+ "grad_norm": 68.16588592529297,
2955
+ "learning_rate": 6.644433228129288e-06,
2956
+ "loss": 4.519162654876709,
2957
+ "step": 421
2958
+ },
2959
+ {
2960
+ "epoch": 0.8274509803921568,
2961
+ "grad_norm": 30.64187240600586,
2962
+ "learning_rate": 6.6294258467425256e-06,
2963
+ "loss": 4.278877258300781,
2964
+ "step": 422
2965
+ },
2966
+ {
2967
+ "epoch": 0.8294117647058824,
2968
+ "grad_norm": 50.78958511352539,
2969
+ "learning_rate": 6.614402023857231e-06,
2970
+ "loss": 4.127124786376953,
2971
+ "step": 423
2972
+ },
2973
+ {
2974
+ "epoch": 0.8313725490196079,
2975
+ "grad_norm": 16.406599044799805,
2976
+ "learning_rate": 6.599361911069235e-06,
2977
+ "loss": 4.240130424499512,
2978
+ "step": 424
2979
+ },
2980
+ {
2981
+ "epoch": 0.8333333333333334,
2982
+ "grad_norm": 8.257003784179688,
2983
+ "learning_rate": 6.584305660138734e-06,
2984
+ "loss": 4.398717880249023,
2985
+ "step": 425
2986
+ },
2987
+ {
2988
+ "epoch": 0.8352941176470589,
2989
+ "grad_norm": 53.47596740722656,
2990
+ "learning_rate": 6.569233422988771e-06,
2991
+ "loss": 4.362873554229736,
2992
+ "step": 426
2993
+ },
2994
+ {
2995
+ "epoch": 0.8372549019607843,
2996
+ "grad_norm": 163.6345672607422,
2997
+ "learning_rate": 6.554145351703689e-06,
2998
+ "loss": 4.455537796020508,
2999
+ "step": 427
3000
+ },
3001
+ {
3002
+ "epoch": 0.8392156862745098,
3003
+ "grad_norm": 222.5769805908203,
3004
+ "learning_rate": 6.539041598527612e-06,
3005
+ "loss": 4.446180820465088,
3006
+ "step": 428
3007
+ },
3008
+ {
3009
+ "epoch": 0.8411764705882353,
3010
+ "grad_norm": 193.03797912597656,
3011
+ "learning_rate": 6.523922315862887e-06,
3012
+ "loss": 3.9635980129241943,
3013
+ "step": 429
3014
+ },
3015
+ {
3016
+ "epoch": 0.8431372549019608,
3017
+ "grad_norm": 259.9488830566406,
3018
+ "learning_rate": 6.508787656268573e-06,
3019
+ "loss": 4.20033073425293,
3020
+ "step": 430
3021
+ },
3022
+ {
3023
+ "epoch": 0.8450980392156863,
3024
+ "grad_norm": 79.64652252197266,
3025
+ "learning_rate": 6.4936377724588794e-06,
3026
+ "loss": 4.132991790771484,
3027
+ "step": 431
3028
+ },
3029
+ {
3030
+ "epoch": 0.8470588235294118,
3031
+ "grad_norm": 89.49686431884766,
3032
+ "learning_rate": 6.478472817301635e-06,
3033
+ "loss": 4.8201904296875,
3034
+ "step": 432
3035
+ },
3036
+ {
3037
+ "epoch": 0.8490196078431372,
3038
+ "grad_norm": 36.88655090332031,
3039
+ "learning_rate": 6.463292943816747e-06,
3040
+ "loss": 4.225468635559082,
3041
+ "step": 433
3042
+ },
3043
+ {
3044
+ "epoch": 0.8509803921568627,
3045
+ "grad_norm": 167.7744140625,
3046
+ "learning_rate": 6.448098305174648e-06,
3047
+ "loss": 4.24064826965332,
3048
+ "step": 434
3049
+ },
3050
+ {
3051
+ "epoch": 0.8529411764705882,
3052
+ "grad_norm": 320.5234069824219,
3053
+ "learning_rate": 6.4328890546947645e-06,
3054
+ "loss": 4.498333930969238,
3055
+ "step": 435
3056
+ },
3057
+ {
3058
+ "epoch": 0.8549019607843137,
3059
+ "grad_norm": 108.37223815917969,
3060
+ "learning_rate": 6.417665345843952e-06,
3061
+ "loss": 3.9274849891662598,
3062
+ "step": 436
3063
+ },
3064
+ {
3065
+ "epoch": 0.8568627450980392,
3066
+ "grad_norm": 53.389373779296875,
3067
+ "learning_rate": 6.402427332234965e-06,
3068
+ "loss": 4.50510835647583,
3069
+ "step": 437
3070
+ },
3071
+ {
3072
+ "epoch": 0.8588235294117647,
3073
+ "grad_norm": 586.7931518554688,
3074
+ "learning_rate": 6.387175167624894e-06,
3075
+ "loss": 4.44918966293335,
3076
+ "step": 438
3077
+ },
3078
+ {
3079
+ "epoch": 0.8607843137254902,
3080
+ "grad_norm": 64.9321517944336,
3081
+ "learning_rate": 6.371909005913618e-06,
3082
+ "loss": 4.453424453735352,
3083
+ "step": 439
3084
+ },
3085
+ {
3086
+ "epoch": 0.8627450980392157,
3087
+ "grad_norm": 21.094820022583008,
3088
+ "learning_rate": 6.3566290011422515e-06,
3089
+ "loss": 4.252875328063965,
3090
+ "step": 440
3091
+ },
3092
+ {
3093
+ "epoch": 0.8647058823529412,
3094
+ "grad_norm": 302.2917785644531,
3095
+ "learning_rate": 6.341335307491596e-06,
3096
+ "loss": 3.92726993560791,
3097
+ "step": 441
3098
+ },
3099
+ {
3100
+ "epoch": 0.8666666666666667,
3101
+ "grad_norm": 44.52492141723633,
3102
+ "learning_rate": 6.32602807928057e-06,
3103
+ "loss": 4.290216445922852,
3104
+ "step": 442
3105
+ },
3106
+ {
3107
+ "epoch": 0.8686274509803922,
3108
+ "grad_norm": 48.71710205078125,
3109
+ "learning_rate": 6.310707470964668e-06,
3110
+ "loss": 4.29799747467041,
3111
+ "step": 443
3112
+ },
3113
+ {
3114
+ "epoch": 0.8705882352941177,
3115
+ "grad_norm": 224.1940460205078,
3116
+ "learning_rate": 6.29537363713439e-06,
3117
+ "loss": 4.234777450561523,
3118
+ "step": 444
3119
+ },
3120
+ {
3121
+ "epoch": 0.8725490196078431,
3122
+ "grad_norm": 198.24740600585938,
3123
+ "learning_rate": 6.280026732513689e-06,
3124
+ "loss": 4.185808181762695,
3125
+ "step": 445
3126
+ },
3127
+ {
3128
+ "epoch": 0.8745098039215686,
3129
+ "grad_norm": 35.172672271728516,
3130
+ "learning_rate": 6.264666911958404e-06,
3131
+ "loss": 4.557499885559082,
3132
+ "step": 446
3133
+ },
3134
+ {
3135
+ "epoch": 0.8764705882352941,
3136
+ "grad_norm": 63.40365219116211,
3137
+ "learning_rate": 6.249294330454705e-06,
3138
+ "loss": 4.098924160003662,
3139
+ "step": 447
3140
+ },
3141
+ {
3142
+ "epoch": 0.8784313725490196,
3143
+ "grad_norm": 145.4202117919922,
3144
+ "learning_rate": 6.233909143117521e-06,
3145
+ "loss": 4.268922805786133,
3146
+ "step": 448
3147
+ },
3148
+ {
3149
+ "epoch": 0.8803921568627451,
3150
+ "grad_norm": 149.33828735351562,
3151
+ "learning_rate": 6.21851150518898e-06,
3152
+ "loss": 4.938076019287109,
3153
+ "step": 449
3154
+ },
3155
+ {
3156
+ "epoch": 0.8823529411764706,
3157
+ "grad_norm": 42.62335205078125,
3158
+ "learning_rate": 6.203101572036839e-06,
3159
+ "loss": 4.535097599029541,
3160
+ "step": 450
3161
+ },
3162
+ {
3163
+ "epoch": 0.884313725490196,
3164
+ "grad_norm": 29.659095764160156,
3165
+ "learning_rate": 6.18767949915292e-06,
3166
+ "loss": 4.5162248611450195,
3167
+ "step": 451
3168
+ },
3169
+ {
3170
+ "epoch": 0.8862745098039215,
3171
+ "grad_norm": 385.17120361328125,
3172
+ "learning_rate": 6.172245442151541e-06,
3173
+ "loss": 4.205960273742676,
3174
+ "step": 452
3175
+ },
3176
+ {
3177
+ "epoch": 0.888235294117647,
3178
+ "grad_norm": 41.33932113647461,
3179
+ "learning_rate": 6.156799556767941e-06,
3180
+ "loss": 4.351683139801025,
3181
+ "step": 453
3182
+ },
3183
+ {
3184
+ "epoch": 0.8901960784313725,
3185
+ "grad_norm": 143.6595458984375,
3186
+ "learning_rate": 6.141341998856711e-06,
3187
+ "loss": 4.250962257385254,
3188
+ "step": 454
3189
+ },
3190
+ {
3191
+ "epoch": 0.8921568627450981,
3192
+ "grad_norm": 37.78490447998047,
3193
+ "learning_rate": 6.125872924390226e-06,
3194
+ "loss": 4.384239196777344,
3195
+ "step": 455
3196
+ },
3197
+ {
3198
+ "epoch": 0.8941176470588236,
3199
+ "grad_norm": 515.0045166015625,
3200
+ "learning_rate": 6.110392489457067e-06,
3201
+ "loss": 4.019399166107178,
3202
+ "step": 456
3203
+ },
3204
+ {
3205
+ "epoch": 0.8960784313725491,
3206
+ "grad_norm": 55.70957946777344,
3207
+ "learning_rate": 6.094900850260439e-06,
3208
+ "loss": 4.14704704284668,
3209
+ "step": 457
3210
+ },
3211
+ {
3212
+ "epoch": 0.8980392156862745,
3213
+ "grad_norm": 193.2394256591797,
3214
+ "learning_rate": 6.079398163116611e-06,
3215
+ "loss": 4.078997611999512,
3216
+ "step": 458
3217
+ },
3218
+ {
3219
+ "epoch": 0.9,
3220
+ "grad_norm": 5256.82421875,
3221
+ "learning_rate": 6.063884584453326e-06,
3222
+ "loss": 4.191615104675293,
3223
+ "step": 459
3224
+ },
3225
+ {
3226
+ "epoch": 0.9019607843137255,
3227
+ "grad_norm": 100.2900390625,
3228
+ "learning_rate": 6.048360270808226e-06,
3229
+ "loss": 4.465028762817383,
3230
+ "step": 460
3231
+ },
3232
+ {
3233
+ "epoch": 0.903921568627451,
3234
+ "grad_norm": 1331.4735107421875,
3235
+ "learning_rate": 6.032825378827273e-06,
3236
+ "loss": 4.066887378692627,
3237
+ "step": 461
3238
+ },
3239
+ {
3240
+ "epoch": 0.9058823529411765,
3241
+ "grad_norm": 452.3879699707031,
3242
+ "learning_rate": 6.0172800652631706e-06,
3243
+ "loss": 4.527779579162598,
3244
+ "step": 462
3245
+ },
3246
+ {
3247
+ "epoch": 0.907843137254902,
3248
+ "grad_norm": 2017.1990966796875,
3249
+ "learning_rate": 6.001724486973774e-06,
3250
+ "loss": 4.606598854064941,
3251
+ "step": 463
3252
+ },
3253
+ {
3254
+ "epoch": 0.9098039215686274,
3255
+ "grad_norm": 754.1237182617188,
3256
+ "learning_rate": 5.986158800920523e-06,
3257
+ "loss": 4.566285133361816,
3258
+ "step": 464
3259
+ },
3260
+ {
3261
+ "epoch": 0.9117647058823529,
3262
+ "grad_norm": 384.491943359375,
3263
+ "learning_rate": 5.970583164166838e-06,
3264
+ "loss": 4.586278915405273,
3265
+ "step": 465
3266
+ },
3267
+ {
3268
+ "epoch": 0.9137254901960784,
3269
+ "grad_norm": 33.79523468017578,
3270
+ "learning_rate": 5.954997733876552e-06,
3271
+ "loss": 3.9631872177124023,
3272
+ "step": 466
3273
+ },
3274
+ {
3275
+ "epoch": 0.9156862745098039,
3276
+ "grad_norm": 66.47810363769531,
3277
+ "learning_rate": 5.939402667312316e-06,
3278
+ "loss": 4.857361793518066,
3279
+ "step": 467
3280
+ },
3281
+ {
3282
+ "epoch": 0.9176470588235294,
3283
+ "grad_norm": 32.95048904418945,
3284
+ "learning_rate": 5.923798121834016e-06,
3285
+ "loss": 4.744093418121338,
3286
+ "step": 468
3287
+ },
3288
+ {
3289
+ "epoch": 0.9196078431372549,
3290
+ "grad_norm": 66.45060729980469,
3291
+ "learning_rate": 5.908184254897183e-06,
3292
+ "loss": 4.424873352050781,
3293
+ "step": 469
3294
+ },
3295
+ {
3296
+ "epoch": 0.9215686274509803,
3297
+ "grad_norm": 160.2024688720703,
3298
+ "learning_rate": 5.892561224051403e-06,
3299
+ "loss": 4.0311994552612305,
3300
+ "step": 470
3301
+ },
3302
+ {
3303
+ "epoch": 0.9235294117647059,
3304
+ "grad_norm": 26.441673278808594,
3305
+ "learning_rate": 5.876929186938734e-06,
3306
+ "loss": 4.408843040466309,
3307
+ "step": 471
3308
+ },
3309
+ {
3310
+ "epoch": 0.9254901960784314,
3311
+ "grad_norm": 95.61007690429688,
3312
+ "learning_rate": 5.861288301292103e-06,
3313
+ "loss": 4.58468770980835,
3314
+ "step": 472
3315
+ },
3316
+ {
3317
+ "epoch": 0.9274509803921569,
3318
+ "grad_norm": 101.88788604736328,
3319
+ "learning_rate": 5.845638724933729e-06,
3320
+ "loss": 4.604763031005859,
3321
+ "step": 473
3322
+ },
3323
+ {
3324
+ "epoch": 0.9294117647058824,
3325
+ "grad_norm": 196.6406707763672,
3326
+ "learning_rate": 5.82998061577352e-06,
3327
+ "loss": 3.798020839691162,
3328
+ "step": 474
3329
+ },
3330
+ {
3331
+ "epoch": 0.9313725490196079,
3332
+ "grad_norm": 64.56034088134766,
3333
+ "learning_rate": 5.814314131807486e-06,
3334
+ "loss": 4.227663040161133,
3335
+ "step": 475
3336
+ },
3337
+ {
3338
+ "epoch": 0.9333333333333333,
3339
+ "grad_norm": 43.46277618408203,
3340
+ "learning_rate": 5.798639431116135e-06,
3341
+ "loss": 4.6275858879089355,
3342
+ "step": 476
3343
+ },
3344
+ {
3345
+ "epoch": 0.9352941176470588,
3346
+ "grad_norm": 624.3564453125,
3347
+ "learning_rate": 5.782956671862895e-06,
3348
+ "loss": 4.316646575927734,
3349
+ "step": 477
3350
+ },
3351
+ {
3352
+ "epoch": 0.9372549019607843,
3353
+ "grad_norm": 105.81096649169922,
3354
+ "learning_rate": 5.767266012292496e-06,
3355
+ "loss": 4.3191094398498535,
3356
+ "step": 478
3357
+ },
3358
+ {
3359
+ "epoch": 0.9392156862745098,
3360
+ "grad_norm": 11.598875045776367,
3361
+ "learning_rate": 5.751567610729398e-06,
3362
+ "loss": 4.125179767608643,
3363
+ "step": 479
3364
+ },
3365
+ {
3366
+ "epoch": 0.9411764705882353,
3367
+ "grad_norm": 80.84516143798828,
3368
+ "learning_rate": 5.735861625576167e-06,
3369
+ "loss": 4.346436977386475,
3370
+ "step": 480
3371
+ },
3372
+ {
3373
+ "epoch": 0.9431372549019608,
3374
+ "grad_norm": 74.3943862915039,
3375
+ "learning_rate": 5.720148215311902e-06,
3376
+ "loss": 4.7361907958984375,
3377
+ "step": 481
3378
+ },
3379
+ {
3380
+ "epoch": 0.9450980392156862,
3381
+ "grad_norm": 28.853347778320312,
3382
+ "learning_rate": 5.7044275384906164e-06,
3383
+ "loss": 4.320212364196777,
3384
+ "step": 482
3385
+ },
3386
+ {
3387
+ "epoch": 0.9470588235294117,
3388
+ "grad_norm": 12.190153121948242,
3389
+ "learning_rate": 5.688699753739649e-06,
3390
+ "loss": 4.433542251586914,
3391
+ "step": 483
3392
+ },
3393
+ {
3394
+ "epoch": 0.9490196078431372,
3395
+ "grad_norm": 14.953727722167969,
3396
+ "learning_rate": 5.672965019758061e-06,
3397
+ "loss": 4.154573440551758,
3398
+ "step": 484
3399
+ },
3400
+ {
3401
+ "epoch": 0.9509803921568627,
3402
+ "grad_norm": 45.093048095703125,
3403
+ "learning_rate": 5.657223495315031e-06,
3404
+ "loss": 4.646431922912598,
3405
+ "step": 485
3406
+ },
3407
+ {
3408
+ "epoch": 0.9529411764705882,
3409
+ "grad_norm": 67.42533111572266,
3410
+ "learning_rate": 5.641475339248257e-06,
3411
+ "loss": 4.0797953605651855,
3412
+ "step": 486
3413
+ },
3414
+ {
3415
+ "epoch": 0.9549019607843138,
3416
+ "grad_norm": 31.419174194335938,
3417
+ "learning_rate": 5.625720710462352e-06,
3418
+ "loss": 4.35106086730957,
3419
+ "step": 487
3420
+ },
3421
+ {
3422
+ "epoch": 0.9568627450980393,
3423
+ "grad_norm": 72.13565063476562,
3424
+ "learning_rate": 5.609959767927247e-06,
3425
+ "loss": 4.7546563148498535,
3426
+ "step": 488
3427
+ },
3428
+ {
3429
+ "epoch": 0.9588235294117647,
3430
+ "grad_norm": 1067.875,
3431
+ "learning_rate": 5.594192670676568e-06,
3432
+ "loss": 4.418883323669434,
3433
+ "step": 489
3434
+ },
3435
+ {
3436
+ "epoch": 0.9607843137254902,
3437
+ "grad_norm": 183.54017639160156,
3438
+ "learning_rate": 5.578419577806058e-06,
3439
+ "loss": 4.376974105834961,
3440
+ "step": 490
3441
+ },
3442
+ {
3443
+ "epoch": 0.9627450980392157,
3444
+ "grad_norm": 95.38218688964844,
3445
+ "learning_rate": 5.562640648471951e-06,
3446
+ "loss": 4.362179756164551,
3447
+ "step": 491
3448
+ },
3449
+ {
3450
+ "epoch": 0.9647058823529412,
3451
+ "grad_norm": 71.57412719726562,
3452
+ "learning_rate": 5.546856041889374e-06,
3453
+ "loss": 4.819134712219238,
3454
+ "step": 492
3455
+ },
3456
+ {
3457
+ "epoch": 0.9666666666666667,
3458
+ "grad_norm": 16.976749420166016,
3459
+ "learning_rate": 5.531065917330737e-06,
3460
+ "loss": 4.120271682739258,
3461
+ "step": 493
3462
+ },
3463
+ {
3464
+ "epoch": 0.9686274509803922,
3465
+ "grad_norm": 71.98576354980469,
3466
+ "learning_rate": 5.515270434124136e-06,
3467
+ "loss": 4.1797919273376465,
3468
+ "step": 494
3469
+ },
3470
+ {
3471
+ "epoch": 0.9705882352941176,
3472
+ "grad_norm": 4.768789768218994,
3473
+ "learning_rate": 5.499469751651728e-06,
3474
+ "loss": 4.024587631225586,
3475
+ "step": 495
3476
+ },
3477
+ {
3478
+ "epoch": 0.9725490196078431,
3479
+ "grad_norm": 408.6588134765625,
3480
+ "learning_rate": 5.483664029348141e-06,
3481
+ "loss": 4.756344795227051,
3482
+ "step": 496
3483
+ },
3484
+ {
3485
+ "epoch": 0.9745098039215686,
3486
+ "grad_norm": 10.495368957519531,
3487
+ "learning_rate": 5.467853426698852e-06,
3488
+ "loss": 4.134525299072266,
3489
+ "step": 497
3490
+ },
3491
+ {
3492
+ "epoch": 0.9764705882352941,
3493
+ "grad_norm": 183.8063201904297,
3494
+ "learning_rate": 5.452038103238582e-06,
3495
+ "loss": 4.6963725090026855,
3496
+ "step": 498
3497
+ },
3498
+ {
3499
+ "epoch": 0.9784313725490196,
3500
+ "grad_norm": 83.09385681152344,
3501
+ "learning_rate": 5.43621821854969e-06,
3502
+ "loss": 4.915416717529297,
3503
+ "step": 499
3504
+ },
3505
+ {
3506
+ "epoch": 0.9803921568627451,
3507
+ "grad_norm": 33.74040985107422,
3508
+ "learning_rate": 5.420393932260557e-06,
3509
+ "loss": 4.430484294891357,
3510
+ "step": 500
3511
+ },
3512
+ {
3513
+ "epoch": 0.9823529411764705,
3514
+ "grad_norm": 41.18917465209961,
3515
+ "learning_rate": 5.404565404043977e-06,
3516
+ "loss": 4.3449602127075195,
3517
+ "step": 501
3518
+ },
3519
+ {
3520
+ "epoch": 0.984313725490196,
3521
+ "grad_norm": 243.4974822998047,
3522
+ "learning_rate": 5.388732793615551e-06,
3523
+ "loss": 4.609969139099121,
3524
+ "step": 502
3525
+ },
3526
+ {
3527
+ "epoch": 0.9862745098039216,
3528
+ "grad_norm": 24.437667846679688,
3529
+ "learning_rate": 5.372896260732065e-06,
3530
+ "loss": 4.368291854858398,
3531
+ "step": 503
3532
+ },
3533
+ {
3534
+ "epoch": 0.9882352941176471,
3535
+ "grad_norm": 36.5069694519043,
3536
+ "learning_rate": 5.357055965189888e-06,
3537
+ "loss": 4.355335712432861,
3538
+ "step": 504
3539
+ },
3540
+ {
3541
+ "epoch": 0.9901960784313726,
3542
+ "grad_norm": 156.41387939453125,
3543
+ "learning_rate": 5.341212066823356e-06,
3544
+ "loss": 4.198671340942383,
3545
+ "step": 505
3546
+ },
3547
+ {
3548
+ "epoch": 0.9921568627450981,
3549
+ "grad_norm": 32.02665710449219,
3550
+ "learning_rate": 5.325364725503155e-06,
3551
+ "loss": 5.039112567901611,
3552
+ "step": 506
3553
+ },
3554
+ {
3555
+ "epoch": 0.9941176470588236,
3556
+ "grad_norm": 28.728458404541016,
3557
+ "learning_rate": 5.3095141011347155e-06,
3558
+ "loss": 4.022368907928467,
3559
+ "step": 507
3560
+ },
3561
+ {
3562
+ "epoch": 0.996078431372549,
3563
+ "grad_norm": 82.8222427368164,
3564
+ "learning_rate": 5.2936603536565915e-06,
3565
+ "loss": 4.288028717041016,
3566
+ "step": 508
3567
+ },
3568
+ {
3569
+ "epoch": 0.9980392156862745,
3570
+ "grad_norm": 46.44649124145508,
3571
+ "learning_rate": 5.277803643038855e-06,
3572
+ "loss": 4.239832401275635,
3573
+ "step": 509
3574
+ },
3575
+ {
3576
+ "epoch": 1.0,
3577
+ "grad_norm": 85.16124725341797,
3578
+ "learning_rate": 5.261944129281474e-06,
3579
+ "loss": 4.053654193878174,
3580
+ "step": 510
3581
+ }
3582
+ ],
3583
+ "logging_steps": 1,
3584
+ "max_steps": 1020,
3585
+ "num_input_tokens_seen": 0,
3586
+ "num_train_epochs": 2,
3587
+ "save_steps": 100,
3588
+ "stateful_callbacks": {
3589
+ "TrainerControl": {
3590
+ "args": {
3591
+ "should_epoch_stop": false,
3592
+ "should_evaluate": false,
3593
+ "should_log": false,
3594
+ "should_save": true,
3595
+ "should_training_stop": false
3596
+ },
3597
+ "attributes": {}
3598
+ }
3599
+ },
3600
+ "total_flos": 2.411555016453128e+18,
3601
+ "train_batch_size": 4,
3602
+ "trial_name": null,
3603
+ "trial_params": null
3604
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:48b008530e22acccf367c57c94461395f10e23b15baa643afb0d25dfaf97317e
3
+ size 5905