Delta-Vector commited on
Commit
b094887
·
verified ·
1 Parent(s): 925d6d5

Upload folder using huggingface_hub

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
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.14.0
adapter_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit",
5
+ "bias": "none",
6
+ "eva_config": null,
7
+ "exclude_modules": null,
8
+ "fan_in_fan_out": false,
9
+ "inference_mode": true,
10
+ "init_lora_weights": true,
11
+ "layer_replication": null,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 32,
16
+ "lora_bias": false,
17
+ "lora_dropout": 0,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": null,
21
+ "peft_type": "LORA",
22
+ "r": 16,
23
+ "rank_pattern": {},
24
+ "revision": null,
25
+ "target_modules": [
26
+ "down_proj",
27
+ "up_proj",
28
+ "k_proj",
29
+ "gate_proj",
30
+ "v_proj",
31
+ "o_proj",
32
+ "q_proj"
33
+ ],
34
+ "task_type": "CAUSAL_LM",
35
+ "use_dora": false,
36
+ "use_rslora": false
37
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4d94acffcdaec935f43d2fc36f0ab1afd705f876732fa3143fb2d9f54579efb7
3
+ size 228140600
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f4fe8e328be6e10e053e14666b2e571c45c73d9a8291556b08910e3da67b3e6
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<pad>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b0240ce510f08e6c2041724e9043e33be9d251d1e4a4d94eb68cd47b954b61d2
3
+ size 17078292
tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
trainer_state.json ADDED
@@ -0,0 +1,3533 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.020906724647983023,
5
+ "eval_steps": 500,
6
+ "global_step": 500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 4.181344929596605e-05,
13
+ "grad_norm": 0.40560808777809143,
14
+ "learning_rate": 4e-05,
15
+ "loss": 1.0882,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 8.36268985919321e-05,
20
+ "grad_norm": 0.5086776614189148,
21
+ "learning_rate": 8e-05,
22
+ "loss": 1.2032,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.00012544034788789814,
27
+ "grad_norm": 0.37056657671928406,
28
+ "learning_rate": 0.00012,
29
+ "loss": 1.0877,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.0001672537971838642,
34
+ "grad_norm": 0.3852301836013794,
35
+ "learning_rate": 0.00016,
36
+ "loss": 0.8978,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.00020906724647983023,
41
+ "grad_norm": 0.2954806089401245,
42
+ "learning_rate": 0.0002,
43
+ "loss": 0.9203,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.0002508806957757963,
48
+ "grad_norm": 0.34586089849472046,
49
+ "learning_rate": 0.0001995959595959596,
50
+ "loss": 1.0795,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.00029269414507176236,
55
+ "grad_norm": 0.35712841153144836,
56
+ "learning_rate": 0.0001991919191919192,
57
+ "loss": 1.6382,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.0003345075943677284,
62
+ "grad_norm": 0.3133651316165924,
63
+ "learning_rate": 0.00019878787878787878,
64
+ "loss": 1.0971,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.00037632104366369445,
69
+ "grad_norm": 0.311149537563324,
70
+ "learning_rate": 0.00019838383838383837,
71
+ "loss": 1.1428,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.00041813449295966047,
76
+ "grad_norm": 0.3039856553077698,
77
+ "learning_rate": 0.000197979797979798,
78
+ "loss": 0.9836,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.00045994794225562654,
83
+ "grad_norm": 0.24750354886054993,
84
+ "learning_rate": 0.0001975757575757576,
85
+ "loss": 0.9899,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.0005017613915515926,
90
+ "grad_norm": 0.28363236784935,
91
+ "learning_rate": 0.0001971717171717172,
92
+ "loss": 0.9879,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.0005435748408475586,
97
+ "grad_norm": 0.352985143661499,
98
+ "learning_rate": 0.00019676767676767677,
99
+ "loss": 1.2943,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.0005853882901435247,
104
+ "grad_norm": 0.3262224793434143,
105
+ "learning_rate": 0.00019636363636363636,
106
+ "loss": 1.0721,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.0006272017394394907,
111
+ "grad_norm": 0.2579759359359741,
112
+ "learning_rate": 0.00019595959595959596,
113
+ "loss": 0.9534,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.0006690151887354568,
118
+ "grad_norm": 0.29768794775009155,
119
+ "learning_rate": 0.00019555555555555556,
120
+ "loss": 1.1008,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.0007108286380314228,
125
+ "grad_norm": 0.2844472825527191,
126
+ "learning_rate": 0.00019515151515151516,
127
+ "loss": 0.9638,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.0007526420873273889,
132
+ "grad_norm": 0.29892027378082275,
133
+ "learning_rate": 0.00019474747474747476,
134
+ "loss": 1.0082,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.0007944555366233549,
139
+ "grad_norm": 0.33687111735343933,
140
+ "learning_rate": 0.00019434343434343435,
141
+ "loss": 1.2364,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.0008362689859193209,
146
+ "grad_norm": 0.29574063420295715,
147
+ "learning_rate": 0.00019393939393939395,
148
+ "loss": 0.9705,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.000878082435215287,
153
+ "grad_norm": 0.3137240409851074,
154
+ "learning_rate": 0.00019353535353535355,
155
+ "loss": 0.9793,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.0009198958845112531,
160
+ "grad_norm": 0.25476816296577454,
161
+ "learning_rate": 0.00019313131313131315,
162
+ "loss": 1.0001,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.0009617093338072191,
167
+ "grad_norm": 0.2840677797794342,
168
+ "learning_rate": 0.00019272727272727274,
169
+ "loss": 1.3237,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.0010035227831031851,
174
+ "grad_norm": 0.27187085151672363,
175
+ "learning_rate": 0.00019232323232323232,
176
+ "loss": 1.0067,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.0010453362323991511,
181
+ "grad_norm": 0.2687990069389343,
182
+ "learning_rate": 0.00019191919191919191,
183
+ "loss": 1.1918,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.0010871496816951172,
188
+ "grad_norm": 0.2793806791305542,
189
+ "learning_rate": 0.0001915151515151515,
190
+ "loss": 0.9764,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.0011289631309910832,
195
+ "grad_norm": 0.30926743149757385,
196
+ "learning_rate": 0.00019111111111111114,
197
+ "loss": 1.249,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.0011707765802870494,
202
+ "grad_norm": 0.24233047664165497,
203
+ "learning_rate": 0.00019070707070707073,
204
+ "loss": 0.8826,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.0012125900295830154,
209
+ "grad_norm": 0.2891562879085541,
210
+ "learning_rate": 0.0001903030303030303,
211
+ "loss": 0.9811,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.0012544034788789815,
216
+ "grad_norm": 0.2661428153514862,
217
+ "learning_rate": 0.0001898989898989899,
218
+ "loss": 1.0042,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.0012962169281749475,
223
+ "grad_norm": 0.28110119700431824,
224
+ "learning_rate": 0.0001894949494949495,
225
+ "loss": 0.9914,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.0013380303774709135,
230
+ "grad_norm": 0.24006132781505585,
231
+ "learning_rate": 0.0001890909090909091,
232
+ "loss": 0.9096,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.0013798438267668795,
237
+ "grad_norm": 0.2505486011505127,
238
+ "learning_rate": 0.0001886868686868687,
239
+ "loss": 1.2024,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.0014216572760628455,
244
+ "grad_norm": 0.2601507306098938,
245
+ "learning_rate": 0.0001882828282828283,
246
+ "loss": 0.9725,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.0014634707253588116,
251
+ "grad_norm": 0.25052663683891296,
252
+ "learning_rate": 0.0001878787878787879,
253
+ "loss": 1.4409,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.0015052841746547778,
258
+ "grad_norm": 0.2797248661518097,
259
+ "learning_rate": 0.0001874747474747475,
260
+ "loss": 1.0476,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.0015470976239507438,
265
+ "grad_norm": 0.22307826578617096,
266
+ "learning_rate": 0.0001870707070707071,
267
+ "loss": 0.826,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.0015889110732467098,
272
+ "grad_norm": 0.2908446490764618,
273
+ "learning_rate": 0.0001866666666666667,
274
+ "loss": 0.8436,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.0016307245225426759,
279
+ "grad_norm": 0.2313789427280426,
280
+ "learning_rate": 0.00018626262626262628,
281
+ "loss": 0.976,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.0016725379718386419,
286
+ "grad_norm": 0.2308812439441681,
287
+ "learning_rate": 0.00018585858585858586,
288
+ "loss": 0.9195,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.001714351421134608,
293
+ "grad_norm": 0.29213932156562805,
294
+ "learning_rate": 0.00018545454545454545,
295
+ "loss": 0.9328,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.001756164870430574,
300
+ "grad_norm": 0.24189592897891998,
301
+ "learning_rate": 0.00018505050505050505,
302
+ "loss": 1.2261,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.00179797831972654,
307
+ "grad_norm": 0.2668328285217285,
308
+ "learning_rate": 0.00018464646464646465,
309
+ "loss": 0.9107,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.0018397917690225062,
314
+ "grad_norm": 0.2463718056678772,
315
+ "learning_rate": 0.00018424242424242427,
316
+ "loss": 0.9482,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.0018816052183184722,
321
+ "grad_norm": 0.2651210129261017,
322
+ "learning_rate": 0.00018383838383838384,
323
+ "loss": 0.9202,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.0019234186676144382,
328
+ "grad_norm": 0.23657365143299103,
329
+ "learning_rate": 0.00018343434343434344,
330
+ "loss": 0.9263,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.001965232116910404,
335
+ "grad_norm": 0.2667325735092163,
336
+ "learning_rate": 0.00018303030303030304,
337
+ "loss": 1.0621,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.0020070455662063703,
342
+ "grad_norm": 0.25392603874206543,
343
+ "learning_rate": 0.00018262626262626264,
344
+ "loss": 0.8932,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.0020488590155023365,
349
+ "grad_norm": 0.23611199855804443,
350
+ "learning_rate": 0.00018222222222222224,
351
+ "loss": 0.9531,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.0020906724647983023,
356
+ "grad_norm": 0.23251543939113617,
357
+ "learning_rate": 0.00018181818181818183,
358
+ "loss": 1.0771,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.0021324859140942685,
363
+ "grad_norm": 0.2778080403804779,
364
+ "learning_rate": 0.0001814141414141414,
365
+ "loss": 0.8916,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.0021742993633902343,
370
+ "grad_norm": 0.23373359441757202,
371
+ "learning_rate": 0.00018101010101010103,
372
+ "loss": 0.9641,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.0022161128126862006,
377
+ "grad_norm": 0.3123236894607544,
378
+ "learning_rate": 0.00018060606060606063,
379
+ "loss": 0.915,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.0022579262619821664,
384
+ "grad_norm": 0.40312856435775757,
385
+ "learning_rate": 0.00018020202020202023,
386
+ "loss": 1.0666,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.0022997397112781326,
391
+ "grad_norm": 0.2284204065799713,
392
+ "learning_rate": 0.0001797979797979798,
393
+ "loss": 0.9649,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.002341553160574099,
398
+ "grad_norm": 0.24177253246307373,
399
+ "learning_rate": 0.0001793939393939394,
400
+ "loss": 1.0698,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.0023833666098700646,
405
+ "grad_norm": 0.24964472651481628,
406
+ "learning_rate": 0.000178989898989899,
407
+ "loss": 0.9042,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.002425180059166031,
412
+ "grad_norm": 0.2380153387784958,
413
+ "learning_rate": 0.0001785858585858586,
414
+ "loss": 1.0326,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.0024669935084619967,
419
+ "grad_norm": 0.3179625868797302,
420
+ "learning_rate": 0.0001781818181818182,
421
+ "loss": 1.1221,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.002508806957757963,
426
+ "grad_norm": 0.26389947533607483,
427
+ "learning_rate": 0.00017777777777777779,
428
+ "loss": 0.9786,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.0025506204070539287,
433
+ "grad_norm": 0.30544987320899963,
434
+ "learning_rate": 0.00017737373737373738,
435
+ "loss": 0.9644,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.002592433856349895,
440
+ "grad_norm": 0.36304402351379395,
441
+ "learning_rate": 0.00017696969696969698,
442
+ "loss": 0.9074,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.002634247305645861,
447
+ "grad_norm": 0.23597782850265503,
448
+ "learning_rate": 0.00017656565656565658,
449
+ "loss": 1.0777,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.002676060754941827,
454
+ "grad_norm": 0.26906973123550415,
455
+ "learning_rate": 0.00017616161616161618,
456
+ "loss": 0.8205,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.0027178742042377932,
461
+ "grad_norm": 0.2425510138273239,
462
+ "learning_rate": 0.00017575757575757578,
463
+ "loss": 0.9539,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.002759687653533759,
468
+ "grad_norm": 0.2500934600830078,
469
+ "learning_rate": 0.00017535353535353535,
470
+ "loss": 0.9296,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.0028015011028297253,
475
+ "grad_norm": 0.2523915469646454,
476
+ "learning_rate": 0.00017494949494949494,
477
+ "loss": 0.8812,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.002843314552125691,
482
+ "grad_norm": 0.2539198398590088,
483
+ "learning_rate": 0.00017454545454545454,
484
+ "loss": 0.9064,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.0028851280014216573,
489
+ "grad_norm": 0.27413180470466614,
490
+ "learning_rate": 0.00017414141414141414,
491
+ "loss": 0.9405,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.002926941450717623,
496
+ "grad_norm": 0.2472667247056961,
497
+ "learning_rate": 0.00017373737373737377,
498
+ "loss": 0.9883,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.0029687549000135894,
503
+ "grad_norm": 0.3356216549873352,
504
+ "learning_rate": 0.00017333333333333334,
505
+ "loss": 0.981,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.0030105683493095556,
510
+ "grad_norm": 0.24823850393295288,
511
+ "learning_rate": 0.00017292929292929293,
512
+ "loss": 0.9839,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.0030523817986055214,
517
+ "grad_norm": 0.23737181723117828,
518
+ "learning_rate": 0.00017252525252525253,
519
+ "loss": 0.9648,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.0030941952479014876,
524
+ "grad_norm": 0.28804993629455566,
525
+ "learning_rate": 0.00017212121212121213,
526
+ "loss": 1.022,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.0031360086971974534,
531
+ "grad_norm": 0.2285371720790863,
532
+ "learning_rate": 0.00017171717171717173,
533
+ "loss": 1.0481,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.0031778221464934197,
538
+ "grad_norm": 0.23818029463291168,
539
+ "learning_rate": 0.00017131313131313133,
540
+ "loss": 1.0973,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.0032196355957893855,
545
+ "grad_norm": 0.2709192931652069,
546
+ "learning_rate": 0.0001709090909090909,
547
+ "loss": 0.8675,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.0032614490450853517,
552
+ "grad_norm": 0.23118779063224792,
553
+ "learning_rate": 0.00017050505050505052,
554
+ "loss": 0.8699,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.003303262494381318,
559
+ "grad_norm": 0.24262340366840363,
560
+ "learning_rate": 0.00017010101010101012,
561
+ "loss": 1.2814,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.0033450759436772838,
566
+ "grad_norm": 0.2542665898799896,
567
+ "learning_rate": 0.00016969696969696972,
568
+ "loss": 0.9736,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.00338688939297325,
573
+ "grad_norm": 0.28399115800857544,
574
+ "learning_rate": 0.00016929292929292932,
575
+ "loss": 0.8836,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.003428702842269216,
580
+ "grad_norm": 0.24225646257400513,
581
+ "learning_rate": 0.00016888888888888889,
582
+ "loss": 0.9176,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.003470516291565182,
587
+ "grad_norm": 0.24356476962566376,
588
+ "learning_rate": 0.00016848484848484848,
589
+ "loss": 0.9305,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.003512329740861148,
594
+ "grad_norm": 0.24460910260677338,
595
+ "learning_rate": 0.00016808080808080808,
596
+ "loss": 0.8662,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.003554143190157114,
601
+ "grad_norm": 0.29980015754699707,
602
+ "learning_rate": 0.00016767676767676768,
603
+ "loss": 1.0232,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 0.00359595663945308,
608
+ "grad_norm": 0.23906633257865906,
609
+ "learning_rate": 0.00016727272727272728,
610
+ "loss": 1.315,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 0.003637770088749046,
615
+ "grad_norm": 0.23798798024654388,
616
+ "learning_rate": 0.00016686868686868688,
617
+ "loss": 0.8968,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 0.0036795835380450123,
622
+ "grad_norm": 0.30493396520614624,
623
+ "learning_rate": 0.00016646464646464647,
624
+ "loss": 1.0255,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 0.003721396987340978,
629
+ "grad_norm": 0.23409593105316162,
630
+ "learning_rate": 0.00016606060606060607,
631
+ "loss": 0.8587,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 0.0037632104366369444,
636
+ "grad_norm": 0.24599049985408783,
637
+ "learning_rate": 0.00016565656565656567,
638
+ "loss": 0.8342,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 0.00380502388593291,
643
+ "grad_norm": 0.25307658314704895,
644
+ "learning_rate": 0.00016525252525252527,
645
+ "loss": 1.0266,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 0.0038468373352288764,
650
+ "grad_norm": 0.23210497200489044,
651
+ "learning_rate": 0.00016484848484848487,
652
+ "loss": 0.9955,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 0.0038886507845248422,
657
+ "grad_norm": 0.23097635805606842,
658
+ "learning_rate": 0.00016444444444444444,
659
+ "loss": 0.8772,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 0.003930464233820808,
664
+ "grad_norm": 0.2318320870399475,
665
+ "learning_rate": 0.00016404040404040403,
666
+ "loss": 0.9421,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 0.003972277683116775,
671
+ "grad_norm": 0.2513769268989563,
672
+ "learning_rate": 0.00016363636363636366,
673
+ "loss": 0.916,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 0.0040140911324127405,
678
+ "grad_norm": 0.24191761016845703,
679
+ "learning_rate": 0.00016323232323232326,
680
+ "loss": 0.9845,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 0.004055904581708706,
685
+ "grad_norm": 0.2810687720775604,
686
+ "learning_rate": 0.00016282828282828283,
687
+ "loss": 0.9531,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 0.004097718031004673,
692
+ "grad_norm": 0.24600476026535034,
693
+ "learning_rate": 0.00016242424242424243,
694
+ "loss": 1.0229,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 0.004139531480300639,
699
+ "grad_norm": 0.22848957777023315,
700
+ "learning_rate": 0.00016202020202020202,
701
+ "loss": 0.9169,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 0.004181344929596605,
706
+ "grad_norm": 0.23503725230693817,
707
+ "learning_rate": 0.00016161616161616162,
708
+ "loss": 0.9684,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 0.00422315837889257,
713
+ "grad_norm": 0.24198566377162933,
714
+ "learning_rate": 0.00016121212121212122,
715
+ "loss": 0.9396,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 0.004264971828188537,
720
+ "grad_norm": 0.23596572875976562,
721
+ "learning_rate": 0.00016080808080808082,
722
+ "loss": 0.9273,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 0.004306785277484503,
727
+ "grad_norm": 0.25463101267814636,
728
+ "learning_rate": 0.0001604040404040404,
729
+ "loss": 1.0802,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 0.004348598726780469,
734
+ "grad_norm": 0.25411441922187805,
735
+ "learning_rate": 0.00016,
736
+ "loss": 1.1421,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 0.004390412176076435,
741
+ "grad_norm": 0.2431924194097519,
742
+ "learning_rate": 0.0001595959595959596,
743
+ "loss": 0.8269,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 0.004432225625372401,
748
+ "grad_norm": 0.2581568956375122,
749
+ "learning_rate": 0.0001591919191919192,
750
+ "loss": 1.0813,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 0.004474039074668367,
755
+ "grad_norm": 0.2607171833515167,
756
+ "learning_rate": 0.0001587878787878788,
757
+ "loss": 0.9057,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 0.004515852523964333,
762
+ "grad_norm": 0.2493910789489746,
763
+ "learning_rate": 0.00015838383838383838,
764
+ "loss": 1.0084,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 0.004557665973260299,
769
+ "grad_norm": 0.24666810035705566,
770
+ "learning_rate": 0.00015797979797979798,
771
+ "loss": 0.9075,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 0.004599479422556265,
776
+ "grad_norm": 0.27022406458854675,
777
+ "learning_rate": 0.00015757575757575757,
778
+ "loss": 1.0225,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 0.004641292871852231,
783
+ "grad_norm": 0.23321093618869781,
784
+ "learning_rate": 0.00015717171717171717,
785
+ "loss": 0.9117,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 0.004683106321148198,
790
+ "grad_norm": 0.2494395226240158,
791
+ "learning_rate": 0.0001567676767676768,
792
+ "loss": 0.9428,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 0.0047249197704441635,
797
+ "grad_norm": 0.23083235323429108,
798
+ "learning_rate": 0.00015636363636363637,
799
+ "loss": 0.9327,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 0.004766733219740129,
804
+ "grad_norm": 0.23585864901542664,
805
+ "learning_rate": 0.00015595959595959597,
806
+ "loss": 0.9037,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 0.004808546669036095,
811
+ "grad_norm": 0.27985578775405884,
812
+ "learning_rate": 0.00015555555555555556,
813
+ "loss": 0.9358,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 0.004850360118332062,
818
+ "grad_norm": 0.23428787291049957,
819
+ "learning_rate": 0.00015515151515151516,
820
+ "loss": 0.9044,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 0.004892173567628028,
825
+ "grad_norm": 0.2439994215965271,
826
+ "learning_rate": 0.00015474747474747476,
827
+ "loss": 0.8798,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 0.004933987016923993,
832
+ "grad_norm": 0.2722432315349579,
833
+ "learning_rate": 0.00015434343434343436,
834
+ "loss": 0.9357,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 0.00497580046621996,
839
+ "grad_norm": 0.23857751488685608,
840
+ "learning_rate": 0.00015393939393939393,
841
+ "loss": 0.8666,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 0.005017613915515926,
846
+ "grad_norm": 0.2787211239337921,
847
+ "learning_rate": 0.00015353535353535353,
848
+ "loss": 1.1073,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 0.005059427364811892,
853
+ "grad_norm": 0.398342490196228,
854
+ "learning_rate": 0.00015313131313131315,
855
+ "loss": 0.8607,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 0.0051012408141078575,
860
+ "grad_norm": 0.24997954070568085,
861
+ "learning_rate": 0.00015272727272727275,
862
+ "loss": 0.9571,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 0.005143054263403824,
867
+ "grad_norm": 0.24160504341125488,
868
+ "learning_rate": 0.00015232323232323235,
869
+ "loss": 0.956,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 0.00518486771269979,
874
+ "grad_norm": 0.25686195492744446,
875
+ "learning_rate": 0.00015191919191919192,
876
+ "loss": 0.9241,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 0.005226681161995756,
881
+ "grad_norm": 0.22665072977542877,
882
+ "learning_rate": 0.00015151515151515152,
883
+ "loss": 1.1356,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 0.005268494611291722,
888
+ "grad_norm": 0.2378469556570053,
889
+ "learning_rate": 0.0001511111111111111,
890
+ "loss": 0.7726,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 0.005310308060587688,
895
+ "grad_norm": 0.24122726917266846,
896
+ "learning_rate": 0.0001507070707070707,
897
+ "loss": 0.9809,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 0.005352121509883654,
902
+ "grad_norm": 0.2466202676296234,
903
+ "learning_rate": 0.0001503030303030303,
904
+ "loss": 1.1704,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 0.00539393495917962,
909
+ "grad_norm": 0.22361689805984497,
910
+ "learning_rate": 0.0001498989898989899,
911
+ "loss": 0.8598,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 0.0054357484084755865,
916
+ "grad_norm": 0.7460150718688965,
917
+ "learning_rate": 0.0001494949494949495,
918
+ "loss": 0.8546,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 0.005477561857771552,
923
+ "grad_norm": 0.2460203766822815,
924
+ "learning_rate": 0.0001490909090909091,
925
+ "loss": 0.8975,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 0.005519375307067518,
930
+ "grad_norm": 0.3213840425014496,
931
+ "learning_rate": 0.0001486868686868687,
932
+ "loss": 1.6733,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 0.005561188756363484,
937
+ "grad_norm": 0.27876222133636475,
938
+ "learning_rate": 0.0001482828282828283,
939
+ "loss": 1.0187,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 0.0056030022056594506,
944
+ "grad_norm": 0.23614326119422913,
945
+ "learning_rate": 0.0001478787878787879,
946
+ "loss": 0.844,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 0.005644815654955416,
951
+ "grad_norm": 0.2533978521823883,
952
+ "learning_rate": 0.00014747474747474747,
953
+ "loss": 0.898,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 0.005686629104251382,
958
+ "grad_norm": 0.24515709280967712,
959
+ "learning_rate": 0.00014707070707070706,
960
+ "loss": 0.996,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 0.005728442553547349,
965
+ "grad_norm": 0.2675986588001251,
966
+ "learning_rate": 0.00014666666666666666,
967
+ "loss": 0.8699,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 0.005770256002843315,
972
+ "grad_norm": 0.2421002835035324,
973
+ "learning_rate": 0.0001462626262626263,
974
+ "loss": 0.8972,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 0.0058120694521392804,
979
+ "grad_norm": 0.23082560300827026,
980
+ "learning_rate": 0.00014585858585858586,
981
+ "loss": 1.0161,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 0.005853882901435246,
986
+ "grad_norm": 0.2547732889652252,
987
+ "learning_rate": 0.00014545454545454546,
988
+ "loss": 1.1966,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 0.005895696350731213,
993
+ "grad_norm": 0.23530864715576172,
994
+ "learning_rate": 0.00014505050505050505,
995
+ "loss": 0.7928,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 0.005937509800027179,
1000
+ "grad_norm": 0.23042874038219452,
1001
+ "learning_rate": 0.00014464646464646465,
1002
+ "loss": 0.867,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 0.0059793232493231445,
1007
+ "grad_norm": 0.248691588640213,
1008
+ "learning_rate": 0.00014424242424242425,
1009
+ "loss": 1.0603,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 0.006021136698619111,
1014
+ "grad_norm": 0.2555006742477417,
1015
+ "learning_rate": 0.00014383838383838385,
1016
+ "loss": 0.8947,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 0.006062950147915077,
1021
+ "grad_norm": 0.23735029995441437,
1022
+ "learning_rate": 0.00014343434343434342,
1023
+ "loss": 1.0781,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 0.006104763597211043,
1028
+ "grad_norm": 0.24833717942237854,
1029
+ "learning_rate": 0.00014303030303030304,
1030
+ "loss": 1.0187,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 0.006146577046507009,
1035
+ "grad_norm": 0.24587538838386536,
1036
+ "learning_rate": 0.00014262626262626264,
1037
+ "loss": 1.0539,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 0.006188390495802975,
1042
+ "grad_norm": 0.3016100227832794,
1043
+ "learning_rate": 0.00014222222222222224,
1044
+ "loss": 1.0549,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 0.006230203945098941,
1049
+ "grad_norm": 0.2518560588359833,
1050
+ "learning_rate": 0.00014181818181818184,
1051
+ "loss": 0.8378,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 0.006272017394394907,
1056
+ "grad_norm": 0.2270629107952118,
1057
+ "learning_rate": 0.0001414141414141414,
1058
+ "loss": 0.9084,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 0.0063138308436908736,
1063
+ "grad_norm": 0.23446914553642273,
1064
+ "learning_rate": 0.000141010101010101,
1065
+ "loss": 0.8835,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 0.006355644292986839,
1070
+ "grad_norm": 0.2495182901620865,
1071
+ "learning_rate": 0.0001406060606060606,
1072
+ "loss": 0.9397,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 0.006397457742282805,
1077
+ "grad_norm": 0.23422032594680786,
1078
+ "learning_rate": 0.0001402020202020202,
1079
+ "loss": 0.8999,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 0.006439271191578771,
1084
+ "grad_norm": 0.24570149183273315,
1085
+ "learning_rate": 0.0001397979797979798,
1086
+ "loss": 0.8705,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 0.006481084640874738,
1091
+ "grad_norm": 0.24084314703941345,
1092
+ "learning_rate": 0.0001393939393939394,
1093
+ "loss": 1.0292,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 0.006522898090170703,
1098
+ "grad_norm": 0.24169977009296417,
1099
+ "learning_rate": 0.000138989898989899,
1100
+ "loss": 1.0477,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 0.006564711539466669,
1105
+ "grad_norm": 0.30937832593917847,
1106
+ "learning_rate": 0.0001385858585858586,
1107
+ "loss": 0.8633,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 0.006606524988762636,
1112
+ "grad_norm": 0.2462792694568634,
1113
+ "learning_rate": 0.0001381818181818182,
1114
+ "loss": 0.9523,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 0.006648338438058602,
1119
+ "grad_norm": 0.24839982390403748,
1120
+ "learning_rate": 0.0001377777777777778,
1121
+ "loss": 0.8883,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 0.0066901518873545675,
1126
+ "grad_norm": 0.26970499753952026,
1127
+ "learning_rate": 0.0001373737373737374,
1128
+ "loss": 0.977,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 0.006731965336650533,
1133
+ "grad_norm": 0.23205144703388214,
1134
+ "learning_rate": 0.00013696969696969696,
1135
+ "loss": 0.8326,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 0.0067737787859465,
1140
+ "grad_norm": 0.22048699855804443,
1141
+ "learning_rate": 0.00013656565656565656,
1142
+ "loss": 0.9275,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 0.006815592235242466,
1147
+ "grad_norm": 0.2242291122674942,
1148
+ "learning_rate": 0.00013616161616161618,
1149
+ "loss": 1.0271,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 0.006857405684538432,
1154
+ "grad_norm": 0.23565801978111267,
1155
+ "learning_rate": 0.00013575757575757578,
1156
+ "loss": 0.9698,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 0.006899219133834398,
1161
+ "grad_norm": 0.2281644642353058,
1162
+ "learning_rate": 0.00013535353535353538,
1163
+ "loss": 0.9465,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 0.006941032583130364,
1168
+ "grad_norm": 0.2199249565601349,
1169
+ "learning_rate": 0.00013494949494949495,
1170
+ "loss": 0.8248,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 0.00698284603242633,
1175
+ "grad_norm": 0.24014709889888763,
1176
+ "learning_rate": 0.00013454545454545455,
1177
+ "loss": 0.8373,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 0.007024659481722296,
1182
+ "grad_norm": 0.21667098999023438,
1183
+ "learning_rate": 0.00013414141414141414,
1184
+ "loss": 0.8571,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 0.007066472931018262,
1189
+ "grad_norm": 0.24447870254516602,
1190
+ "learning_rate": 0.00013373737373737374,
1191
+ "loss": 0.8982,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 0.007108286380314228,
1196
+ "grad_norm": 0.23860566318035126,
1197
+ "learning_rate": 0.00013333333333333334,
1198
+ "loss": 0.8526,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 0.007150099829610194,
1203
+ "grad_norm": 0.24474593997001648,
1204
+ "learning_rate": 0.00013292929292929294,
1205
+ "loss": 1.0394,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 0.00719191327890616,
1210
+ "grad_norm": 0.2439136952161789,
1211
+ "learning_rate": 0.00013252525252525254,
1212
+ "loss": 1.0494,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 0.007233726728202126,
1217
+ "grad_norm": 0.297108918428421,
1218
+ "learning_rate": 0.00013212121212121213,
1219
+ "loss": 0.9123,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 0.007275540177498092,
1224
+ "grad_norm": 0.27741479873657227,
1225
+ "learning_rate": 0.00013171717171717173,
1226
+ "loss": 0.8491,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 0.007317353626794058,
1231
+ "grad_norm": 0.2641980051994324,
1232
+ "learning_rate": 0.00013131313131313133,
1233
+ "loss": 0.979,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 0.007359167076090025,
1238
+ "grad_norm": 0.2425202876329422,
1239
+ "learning_rate": 0.00013090909090909093,
1240
+ "loss": 0.9736,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 0.0074009805253859905,
1245
+ "grad_norm": 0.23964577913284302,
1246
+ "learning_rate": 0.0001305050505050505,
1247
+ "loss": 0.8817,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 0.007442793974681956,
1252
+ "grad_norm": 0.2516103982925415,
1253
+ "learning_rate": 0.0001301010101010101,
1254
+ "loss": 0.8659,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 0.007484607423977922,
1259
+ "grad_norm": 0.22955065965652466,
1260
+ "learning_rate": 0.0001296969696969697,
1261
+ "loss": 0.8342,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 0.007526420873273889,
1266
+ "grad_norm": 0.22402727603912354,
1267
+ "learning_rate": 0.00012929292929292932,
1268
+ "loss": 0.9327,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 0.007568234322569855,
1273
+ "grad_norm": 0.25410568714141846,
1274
+ "learning_rate": 0.00012888888888888892,
1275
+ "loss": 1.0478,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 0.00761004777186582,
1280
+ "grad_norm": 0.23707789182662964,
1281
+ "learning_rate": 0.0001284848484848485,
1282
+ "loss": 0.8722,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 0.007651861221161787,
1287
+ "grad_norm": 0.23372212052345276,
1288
+ "learning_rate": 0.00012808080808080809,
1289
+ "loss": 0.9666,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 0.007693674670457753,
1294
+ "grad_norm": 0.2657679319381714,
1295
+ "learning_rate": 0.00012767676767676768,
1296
+ "loss": 0.9168,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 0.007735488119753719,
1301
+ "grad_norm": 0.232729971408844,
1302
+ "learning_rate": 0.00012727272727272728,
1303
+ "loss": 0.9536,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 0.0077773015690496845,
1308
+ "grad_norm": 0.24871906638145447,
1309
+ "learning_rate": 0.00012686868686868688,
1310
+ "loss": 0.8709,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 0.007819115018345651,
1315
+ "grad_norm": 0.2266804724931717,
1316
+ "learning_rate": 0.00012646464646464645,
1317
+ "loss": 0.7653,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 0.007860928467641616,
1322
+ "grad_norm": 0.33394861221313477,
1323
+ "learning_rate": 0.00012606060606060605,
1324
+ "loss": 0.8725,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 0.007902741916937583,
1329
+ "grad_norm": 0.2425292581319809,
1330
+ "learning_rate": 0.00012565656565656567,
1331
+ "loss": 1.132,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 0.00794455536623355,
1336
+ "grad_norm": 0.23621080815792084,
1337
+ "learning_rate": 0.00012525252525252527,
1338
+ "loss": 0.8396,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 0.007986368815529514,
1343
+ "grad_norm": 0.24612073600292206,
1344
+ "learning_rate": 0.00012484848484848487,
1345
+ "loss": 0.972,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 0.008028182264825481,
1350
+ "grad_norm": 0.25840047001838684,
1351
+ "learning_rate": 0.00012444444444444444,
1352
+ "loss": 0.8906,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 0.008069995714121448,
1357
+ "grad_norm": 0.24181440472602844,
1358
+ "learning_rate": 0.00012404040404040404,
1359
+ "loss": 1.0273,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 0.008111809163417413,
1364
+ "grad_norm": 0.3590998351573944,
1365
+ "learning_rate": 0.00012363636363636364,
1366
+ "loss": 1.147,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 0.00815362261271338,
1371
+ "grad_norm": 0.2476431131362915,
1372
+ "learning_rate": 0.00012323232323232323,
1373
+ "loss": 0.891,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 0.008195436062009346,
1378
+ "grad_norm": 0.2410716712474823,
1379
+ "learning_rate": 0.00012282828282828283,
1380
+ "loss": 0.866,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 0.008237249511305311,
1385
+ "grad_norm": 0.2341095358133316,
1386
+ "learning_rate": 0.00012242424242424243,
1387
+ "loss": 0.759,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 0.008279062960601278,
1392
+ "grad_norm": 0.27347663044929504,
1393
+ "learning_rate": 0.00012202020202020204,
1394
+ "loss": 0.8231,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 0.008320876409897244,
1399
+ "grad_norm": 0.25028082728385925,
1400
+ "learning_rate": 0.00012161616161616162,
1401
+ "loss": 0.8105,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 0.00836268985919321,
1406
+ "grad_norm": 0.2492472380399704,
1407
+ "learning_rate": 0.00012121212121212122,
1408
+ "loss": 1.1087,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 0.008404503308489176,
1413
+ "grad_norm": 0.2771161198616028,
1414
+ "learning_rate": 0.00012080808080808082,
1415
+ "loss": 0.9027,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 0.00844631675778514,
1420
+ "grad_norm": 0.2624797821044922,
1421
+ "learning_rate": 0.0001204040404040404,
1422
+ "loss": 0.9253,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 0.008488130207081107,
1427
+ "grad_norm": 0.2410314977169037,
1428
+ "learning_rate": 0.00012,
1429
+ "loss": 1.0309,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 0.008529943656377074,
1434
+ "grad_norm": 0.24546155333518982,
1435
+ "learning_rate": 0.0001195959595959596,
1436
+ "loss": 0.8802,
1437
+ "step": 204
1438
+ },
1439
+ {
1440
+ "epoch": 0.008571757105673039,
1441
+ "grad_norm": 0.24980226159095764,
1442
+ "learning_rate": 0.00011919191919191919,
1443
+ "loss": 0.9942,
1444
+ "step": 205
1445
+ },
1446
+ {
1447
+ "epoch": 0.008613570554969006,
1448
+ "grad_norm": 0.2516646683216095,
1449
+ "learning_rate": 0.0001187878787878788,
1450
+ "loss": 0.8756,
1451
+ "step": 206
1452
+ },
1453
+ {
1454
+ "epoch": 0.008655384004264972,
1455
+ "grad_norm": 0.25329509377479553,
1456
+ "learning_rate": 0.0001183838383838384,
1457
+ "loss": 0.8372,
1458
+ "step": 207
1459
+ },
1460
+ {
1461
+ "epoch": 0.008697197453560937,
1462
+ "grad_norm": 0.25397980213165283,
1463
+ "learning_rate": 0.00011797979797979799,
1464
+ "loss": 1.0079,
1465
+ "step": 208
1466
+ },
1467
+ {
1468
+ "epoch": 0.008739010902856904,
1469
+ "grad_norm": 0.24071095883846283,
1470
+ "learning_rate": 0.00011757575757575758,
1471
+ "loss": 1.0293,
1472
+ "step": 209
1473
+ },
1474
+ {
1475
+ "epoch": 0.00878082435215287,
1476
+ "grad_norm": 0.389687180519104,
1477
+ "learning_rate": 0.00011717171717171717,
1478
+ "loss": 1.0059,
1479
+ "step": 210
1480
+ },
1481
+ {
1482
+ "epoch": 0.008822637801448836,
1483
+ "grad_norm": 0.22953416407108307,
1484
+ "learning_rate": 0.00011676767676767677,
1485
+ "loss": 0.8209,
1486
+ "step": 211
1487
+ },
1488
+ {
1489
+ "epoch": 0.008864451250744802,
1490
+ "grad_norm": 0.2266966998577118,
1491
+ "learning_rate": 0.00011636363636363636,
1492
+ "loss": 0.8586,
1493
+ "step": 212
1494
+ },
1495
+ {
1496
+ "epoch": 0.008906264700040769,
1497
+ "grad_norm": 0.2559443414211273,
1498
+ "learning_rate": 0.00011595959595959596,
1499
+ "loss": 0.9447,
1500
+ "step": 213
1501
+ },
1502
+ {
1503
+ "epoch": 0.008948078149336734,
1504
+ "grad_norm": 0.5596910119056702,
1505
+ "learning_rate": 0.00011555555555555555,
1506
+ "loss": 1.2531,
1507
+ "step": 214
1508
+ },
1509
+ {
1510
+ "epoch": 0.0089898915986327,
1511
+ "grad_norm": 0.2317219227552414,
1512
+ "learning_rate": 0.00011515151515151516,
1513
+ "loss": 0.8568,
1514
+ "step": 215
1515
+ },
1516
+ {
1517
+ "epoch": 0.009031705047928665,
1518
+ "grad_norm": 0.3438588082790375,
1519
+ "learning_rate": 0.00011474747474747476,
1520
+ "loss": 0.9468,
1521
+ "step": 216
1522
+ },
1523
+ {
1524
+ "epoch": 0.009073518497224632,
1525
+ "grad_norm": 0.22755320370197296,
1526
+ "learning_rate": 0.00011434343434343435,
1527
+ "loss": 0.9324,
1528
+ "step": 217
1529
+ },
1530
+ {
1531
+ "epoch": 0.009115331946520599,
1532
+ "grad_norm": 0.2534794807434082,
1533
+ "learning_rate": 0.00011393939393939394,
1534
+ "loss": 0.8957,
1535
+ "step": 218
1536
+ },
1537
+ {
1538
+ "epoch": 0.009157145395816564,
1539
+ "grad_norm": 0.24701672792434692,
1540
+ "learning_rate": 0.00011353535353535354,
1541
+ "loss": 0.9667,
1542
+ "step": 219
1543
+ },
1544
+ {
1545
+ "epoch": 0.00919895884511253,
1546
+ "grad_norm": 0.31640544533729553,
1547
+ "learning_rate": 0.00011313131313131313,
1548
+ "loss": 1.1742,
1549
+ "step": 220
1550
+ },
1551
+ {
1552
+ "epoch": 0.009240772294408497,
1553
+ "grad_norm": 0.2641148865222931,
1554
+ "learning_rate": 0.00011272727272727272,
1555
+ "loss": 0.9829,
1556
+ "step": 221
1557
+ },
1558
+ {
1559
+ "epoch": 0.009282585743704462,
1560
+ "grad_norm": 0.2502177357673645,
1561
+ "learning_rate": 0.00011232323232323232,
1562
+ "loss": 0.9928,
1563
+ "step": 222
1564
+ },
1565
+ {
1566
+ "epoch": 0.009324399193000429,
1567
+ "grad_norm": 0.2609913647174835,
1568
+ "learning_rate": 0.00011191919191919193,
1569
+ "loss": 0.9089,
1570
+ "step": 223
1571
+ },
1572
+ {
1573
+ "epoch": 0.009366212642296395,
1574
+ "grad_norm": 0.224997416138649,
1575
+ "learning_rate": 0.00011151515151515153,
1576
+ "loss": 0.765,
1577
+ "step": 224
1578
+ },
1579
+ {
1580
+ "epoch": 0.00940802609159236,
1581
+ "grad_norm": 0.243513286113739,
1582
+ "learning_rate": 0.00011111111111111112,
1583
+ "loss": 0.9159,
1584
+ "step": 225
1585
+ },
1586
+ {
1587
+ "epoch": 0.009449839540888327,
1588
+ "grad_norm": 0.22938188910484314,
1589
+ "learning_rate": 0.00011070707070707071,
1590
+ "loss": 0.9849,
1591
+ "step": 226
1592
+ },
1593
+ {
1594
+ "epoch": 0.009491652990184292,
1595
+ "grad_norm": 0.229000061750412,
1596
+ "learning_rate": 0.00011030303030303031,
1597
+ "loss": 0.8655,
1598
+ "step": 227
1599
+ },
1600
+ {
1601
+ "epoch": 0.009533466439480259,
1602
+ "grad_norm": 0.25807130336761475,
1603
+ "learning_rate": 0.0001098989898989899,
1604
+ "loss": 1.2809,
1605
+ "step": 228
1606
+ },
1607
+ {
1608
+ "epoch": 0.009575279888776225,
1609
+ "grad_norm": 0.2382730096578598,
1610
+ "learning_rate": 0.0001094949494949495,
1611
+ "loss": 0.8781,
1612
+ "step": 229
1613
+ },
1614
+ {
1615
+ "epoch": 0.00961709333807219,
1616
+ "grad_norm": 0.26861903071403503,
1617
+ "learning_rate": 0.00010909090909090909,
1618
+ "loss": 1.0295,
1619
+ "step": 230
1620
+ },
1621
+ {
1622
+ "epoch": 0.009658906787368157,
1623
+ "grad_norm": 0.24532069265842438,
1624
+ "learning_rate": 0.00010868686868686868,
1625
+ "loss": 1.0323,
1626
+ "step": 231
1627
+ },
1628
+ {
1629
+ "epoch": 0.009700720236664124,
1630
+ "grad_norm": 0.24853605031967163,
1631
+ "learning_rate": 0.0001082828282828283,
1632
+ "loss": 1.0719,
1633
+ "step": 232
1634
+ },
1635
+ {
1636
+ "epoch": 0.009742533685960088,
1637
+ "grad_norm": 0.20883065462112427,
1638
+ "learning_rate": 0.00010787878787878789,
1639
+ "loss": 0.8916,
1640
+ "step": 233
1641
+ },
1642
+ {
1643
+ "epoch": 0.009784347135256055,
1644
+ "grad_norm": 0.24370087683200836,
1645
+ "learning_rate": 0.00010747474747474748,
1646
+ "loss": 1.0241,
1647
+ "step": 234
1648
+ },
1649
+ {
1650
+ "epoch": 0.009826160584552022,
1651
+ "grad_norm": 0.23309852182865143,
1652
+ "learning_rate": 0.00010707070707070708,
1653
+ "loss": 1.1354,
1654
+ "step": 235
1655
+ },
1656
+ {
1657
+ "epoch": 0.009867974033847987,
1658
+ "grad_norm": 0.25597742199897766,
1659
+ "learning_rate": 0.00010666666666666667,
1660
+ "loss": 1.0021,
1661
+ "step": 236
1662
+ },
1663
+ {
1664
+ "epoch": 0.009909787483143953,
1665
+ "grad_norm": 0.28911975026130676,
1666
+ "learning_rate": 0.00010626262626262626,
1667
+ "loss": 1.1514,
1668
+ "step": 237
1669
+ },
1670
+ {
1671
+ "epoch": 0.00995160093243992,
1672
+ "grad_norm": 0.25332438945770264,
1673
+ "learning_rate": 0.00010585858585858586,
1674
+ "loss": 0.9619,
1675
+ "step": 238
1676
+ },
1677
+ {
1678
+ "epoch": 0.009993414381735885,
1679
+ "grad_norm": 0.24337036907672882,
1680
+ "learning_rate": 0.00010545454545454545,
1681
+ "loss": 0.8732,
1682
+ "step": 239
1683
+ },
1684
+ {
1685
+ "epoch": 0.010035227831031852,
1686
+ "grad_norm": 0.2372404932975769,
1687
+ "learning_rate": 0.00010505050505050507,
1688
+ "loss": 1.0061,
1689
+ "step": 240
1690
+ },
1691
+ {
1692
+ "epoch": 0.010077041280327817,
1693
+ "grad_norm": 0.24123457074165344,
1694
+ "learning_rate": 0.00010464646464646466,
1695
+ "loss": 0.8788,
1696
+ "step": 241
1697
+ },
1698
+ {
1699
+ "epoch": 0.010118854729623783,
1700
+ "grad_norm": 0.2372557669878006,
1701
+ "learning_rate": 0.00010424242424242425,
1702
+ "loss": 0.9747,
1703
+ "step": 242
1704
+ },
1705
+ {
1706
+ "epoch": 0.01016066817891975,
1707
+ "grad_norm": 0.2557818591594696,
1708
+ "learning_rate": 0.00010383838383838385,
1709
+ "loss": 0.9637,
1710
+ "step": 243
1711
+ },
1712
+ {
1713
+ "epoch": 0.010202481628215715,
1714
+ "grad_norm": 0.28526052832603455,
1715
+ "learning_rate": 0.00010343434343434344,
1716
+ "loss": 0.9005,
1717
+ "step": 244
1718
+ },
1719
+ {
1720
+ "epoch": 0.010244295077511682,
1721
+ "grad_norm": 0.23231786489486694,
1722
+ "learning_rate": 0.00010303030303030303,
1723
+ "loss": 0.9581,
1724
+ "step": 245
1725
+ },
1726
+ {
1727
+ "epoch": 0.010286108526807648,
1728
+ "grad_norm": 0.23651888966560364,
1729
+ "learning_rate": 0.00010262626262626263,
1730
+ "loss": 0.8459,
1731
+ "step": 246
1732
+ },
1733
+ {
1734
+ "epoch": 0.010327921976103613,
1735
+ "grad_norm": 0.23777161538600922,
1736
+ "learning_rate": 0.00010222222222222222,
1737
+ "loss": 1.0758,
1738
+ "step": 247
1739
+ },
1740
+ {
1741
+ "epoch": 0.01036973542539958,
1742
+ "grad_norm": 0.23822389543056488,
1743
+ "learning_rate": 0.00010181818181818181,
1744
+ "loss": 0.7813,
1745
+ "step": 248
1746
+ },
1747
+ {
1748
+ "epoch": 0.010411548874695547,
1749
+ "grad_norm": 0.23809131979942322,
1750
+ "learning_rate": 0.00010141414141414143,
1751
+ "loss": 0.8993,
1752
+ "step": 249
1753
+ },
1754
+ {
1755
+ "epoch": 0.010453362323991511,
1756
+ "grad_norm": 0.2509913742542267,
1757
+ "learning_rate": 0.00010101010101010102,
1758
+ "loss": 0.9896,
1759
+ "step": 250
1760
+ },
1761
+ {
1762
+ "epoch": 0.010495175773287478,
1763
+ "grad_norm": 0.2638259828090668,
1764
+ "learning_rate": 0.00010060606060606062,
1765
+ "loss": 0.9422,
1766
+ "step": 251
1767
+ },
1768
+ {
1769
+ "epoch": 0.010536989222583445,
1770
+ "grad_norm": 0.2861965000629425,
1771
+ "learning_rate": 0.0001002020202020202,
1772
+ "loss": 1.3454,
1773
+ "step": 252
1774
+ },
1775
+ {
1776
+ "epoch": 0.01057880267187941,
1777
+ "grad_norm": 0.22580929100513458,
1778
+ "learning_rate": 9.97979797979798e-05,
1779
+ "loss": 0.8397,
1780
+ "step": 253
1781
+ },
1782
+ {
1783
+ "epoch": 0.010620616121175376,
1784
+ "grad_norm": 0.28948256373405457,
1785
+ "learning_rate": 9.939393939393939e-05,
1786
+ "loss": 0.9765,
1787
+ "step": 254
1788
+ },
1789
+ {
1790
+ "epoch": 0.010662429570471341,
1791
+ "grad_norm": 0.23788274824619293,
1792
+ "learning_rate": 9.8989898989899e-05,
1793
+ "loss": 0.8737,
1794
+ "step": 255
1795
+ },
1796
+ {
1797
+ "epoch": 0.010704243019767308,
1798
+ "grad_norm": 0.22695161402225494,
1799
+ "learning_rate": 9.85858585858586e-05,
1800
+ "loss": 0.8152,
1801
+ "step": 256
1802
+ },
1803
+ {
1804
+ "epoch": 0.010746056469063275,
1805
+ "grad_norm": 0.25142139196395874,
1806
+ "learning_rate": 9.818181818181818e-05,
1807
+ "loss": 1.0436,
1808
+ "step": 257
1809
+ },
1810
+ {
1811
+ "epoch": 0.01078786991835924,
1812
+ "grad_norm": 0.27463334798812866,
1813
+ "learning_rate": 9.777777777777778e-05,
1814
+ "loss": 0.8589,
1815
+ "step": 258
1816
+ },
1817
+ {
1818
+ "epoch": 0.010829683367655206,
1819
+ "grad_norm": 0.4538915753364563,
1820
+ "learning_rate": 9.737373737373738e-05,
1821
+ "loss": 0.737,
1822
+ "step": 259
1823
+ },
1824
+ {
1825
+ "epoch": 0.010871496816951173,
1826
+ "grad_norm": 0.26711520552635193,
1827
+ "learning_rate": 9.696969696969698e-05,
1828
+ "loss": 0.818,
1829
+ "step": 260
1830
+ },
1831
+ {
1832
+ "epoch": 0.010913310266247138,
1833
+ "grad_norm": 0.23684343695640564,
1834
+ "learning_rate": 9.656565656565657e-05,
1835
+ "loss": 0.946,
1836
+ "step": 261
1837
+ },
1838
+ {
1839
+ "epoch": 0.010955123715543105,
1840
+ "grad_norm": 0.42562970519065857,
1841
+ "learning_rate": 9.616161616161616e-05,
1842
+ "loss": 1.2192,
1843
+ "step": 262
1844
+ },
1845
+ {
1846
+ "epoch": 0.010996937164839071,
1847
+ "grad_norm": 0.27775582671165466,
1848
+ "learning_rate": 9.575757575757576e-05,
1849
+ "loss": 0.9631,
1850
+ "step": 263
1851
+ },
1852
+ {
1853
+ "epoch": 0.011038750614135036,
1854
+ "grad_norm": 0.25754961371421814,
1855
+ "learning_rate": 9.535353535353537e-05,
1856
+ "loss": 0.9597,
1857
+ "step": 264
1858
+ },
1859
+ {
1860
+ "epoch": 0.011080564063431003,
1861
+ "grad_norm": 0.23732782900333405,
1862
+ "learning_rate": 9.494949494949495e-05,
1863
+ "loss": 0.8945,
1864
+ "step": 265
1865
+ },
1866
+ {
1867
+ "epoch": 0.011122377512726968,
1868
+ "grad_norm": 0.2573186755180359,
1869
+ "learning_rate": 9.454545454545455e-05,
1870
+ "loss": 1.1693,
1871
+ "step": 266
1872
+ },
1873
+ {
1874
+ "epoch": 0.011164190962022934,
1875
+ "grad_norm": 0.251562237739563,
1876
+ "learning_rate": 9.414141414141415e-05,
1877
+ "loss": 0.8797,
1878
+ "step": 267
1879
+ },
1880
+ {
1881
+ "epoch": 0.011206004411318901,
1882
+ "grad_norm": 0.2521072328090668,
1883
+ "learning_rate": 9.373737373737375e-05,
1884
+ "loss": 0.8824,
1885
+ "step": 268
1886
+ },
1887
+ {
1888
+ "epoch": 0.011247817860614866,
1889
+ "grad_norm": 0.2662065625190735,
1890
+ "learning_rate": 9.333333333333334e-05,
1891
+ "loss": 1.1883,
1892
+ "step": 269
1893
+ },
1894
+ {
1895
+ "epoch": 0.011289631309910833,
1896
+ "grad_norm": 0.30695080757141113,
1897
+ "learning_rate": 9.292929292929293e-05,
1898
+ "loss": 0.9089,
1899
+ "step": 270
1900
+ },
1901
+ {
1902
+ "epoch": 0.0113314447592068,
1903
+ "grad_norm": 0.2501082122325897,
1904
+ "learning_rate": 9.252525252525253e-05,
1905
+ "loss": 0.8987,
1906
+ "step": 271
1907
+ },
1908
+ {
1909
+ "epoch": 0.011373258208502764,
1910
+ "grad_norm": 0.31777051091194153,
1911
+ "learning_rate": 9.212121212121214e-05,
1912
+ "loss": 0.8668,
1913
+ "step": 272
1914
+ },
1915
+ {
1916
+ "epoch": 0.011415071657798731,
1917
+ "grad_norm": 0.2766760289669037,
1918
+ "learning_rate": 9.171717171717172e-05,
1919
+ "loss": 0.8515,
1920
+ "step": 273
1921
+ },
1922
+ {
1923
+ "epoch": 0.011456885107094698,
1924
+ "grad_norm": 0.2550426721572876,
1925
+ "learning_rate": 9.131313131313132e-05,
1926
+ "loss": 0.9963,
1927
+ "step": 274
1928
+ },
1929
+ {
1930
+ "epoch": 0.011498698556390663,
1931
+ "grad_norm": 0.251042902469635,
1932
+ "learning_rate": 9.090909090909092e-05,
1933
+ "loss": 0.9898,
1934
+ "step": 275
1935
+ },
1936
+ {
1937
+ "epoch": 0.01154051200568663,
1938
+ "grad_norm": 0.38854333758354187,
1939
+ "learning_rate": 9.050505050505052e-05,
1940
+ "loss": 1.2522,
1941
+ "step": 276
1942
+ },
1943
+ {
1944
+ "epoch": 0.011582325454982596,
1945
+ "grad_norm": 0.2607441842556,
1946
+ "learning_rate": 9.010101010101011e-05,
1947
+ "loss": 0.9177,
1948
+ "step": 277
1949
+ },
1950
+ {
1951
+ "epoch": 0.011624138904278561,
1952
+ "grad_norm": 0.25769656896591187,
1953
+ "learning_rate": 8.96969696969697e-05,
1954
+ "loss": 1.0015,
1955
+ "step": 278
1956
+ },
1957
+ {
1958
+ "epoch": 0.011665952353574528,
1959
+ "grad_norm": 0.24730388820171356,
1960
+ "learning_rate": 8.92929292929293e-05,
1961
+ "loss": 0.9052,
1962
+ "step": 279
1963
+ },
1964
+ {
1965
+ "epoch": 0.011707765802870492,
1966
+ "grad_norm": 0.6939902305603027,
1967
+ "learning_rate": 8.888888888888889e-05,
1968
+ "loss": 0.9031,
1969
+ "step": 280
1970
+ },
1971
+ {
1972
+ "epoch": 0.01174957925216646,
1973
+ "grad_norm": 0.25303369760513306,
1974
+ "learning_rate": 8.848484848484849e-05,
1975
+ "loss": 1.0284,
1976
+ "step": 281
1977
+ },
1978
+ {
1979
+ "epoch": 0.011791392701462426,
1980
+ "grad_norm": 0.2289949506521225,
1981
+ "learning_rate": 8.808080808080809e-05,
1982
+ "loss": 0.9984,
1983
+ "step": 282
1984
+ },
1985
+ {
1986
+ "epoch": 0.01183320615075839,
1987
+ "grad_norm": 0.2644393742084503,
1988
+ "learning_rate": 8.767676767676767e-05,
1989
+ "loss": 0.916,
1990
+ "step": 283
1991
+ },
1992
+ {
1993
+ "epoch": 0.011875019600054357,
1994
+ "grad_norm": 0.2542804181575775,
1995
+ "learning_rate": 8.727272727272727e-05,
1996
+ "loss": 0.9033,
1997
+ "step": 284
1998
+ },
1999
+ {
2000
+ "epoch": 0.011916833049350324,
2001
+ "grad_norm": 0.24902841448783875,
2002
+ "learning_rate": 8.686868686868688e-05,
2003
+ "loss": 0.9286,
2004
+ "step": 285
2005
+ },
2006
+ {
2007
+ "epoch": 0.011958646498646289,
2008
+ "grad_norm": 0.23429153859615326,
2009
+ "learning_rate": 8.646464646464647e-05,
2010
+ "loss": 1.0874,
2011
+ "step": 286
2012
+ },
2013
+ {
2014
+ "epoch": 0.012000459947942256,
2015
+ "grad_norm": 0.25169599056243896,
2016
+ "learning_rate": 8.606060606060606e-05,
2017
+ "loss": 0.9954,
2018
+ "step": 287
2019
+ },
2020
+ {
2021
+ "epoch": 0.012042273397238222,
2022
+ "grad_norm": 0.23120075464248657,
2023
+ "learning_rate": 8.565656565656566e-05,
2024
+ "loss": 1.1458,
2025
+ "step": 288
2026
+ },
2027
+ {
2028
+ "epoch": 0.012084086846534187,
2029
+ "grad_norm": 0.22807276248931885,
2030
+ "learning_rate": 8.525252525252526e-05,
2031
+ "loss": 1.0239,
2032
+ "step": 289
2033
+ },
2034
+ {
2035
+ "epoch": 0.012125900295830154,
2036
+ "grad_norm": 0.24436655640602112,
2037
+ "learning_rate": 8.484848484848486e-05,
2038
+ "loss": 0.9598,
2039
+ "step": 290
2040
+ },
2041
+ {
2042
+ "epoch": 0.01216771374512612,
2043
+ "grad_norm": 0.23763546347618103,
2044
+ "learning_rate": 8.444444444444444e-05,
2045
+ "loss": 0.9101,
2046
+ "step": 291
2047
+ },
2048
+ {
2049
+ "epoch": 0.012209527194422086,
2050
+ "grad_norm": 0.24896766245365143,
2051
+ "learning_rate": 8.404040404040404e-05,
2052
+ "loss": 0.8942,
2053
+ "step": 292
2054
+ },
2055
+ {
2056
+ "epoch": 0.012251340643718052,
2057
+ "grad_norm": 0.24986594915390015,
2058
+ "learning_rate": 8.363636363636364e-05,
2059
+ "loss": 0.8077,
2060
+ "step": 293
2061
+ },
2062
+ {
2063
+ "epoch": 0.012293154093014017,
2064
+ "grad_norm": 0.2502870261669159,
2065
+ "learning_rate": 8.323232323232324e-05,
2066
+ "loss": 1.1444,
2067
+ "step": 294
2068
+ },
2069
+ {
2070
+ "epoch": 0.012334967542309984,
2071
+ "grad_norm": 0.24926161766052246,
2072
+ "learning_rate": 8.282828282828283e-05,
2073
+ "loss": 0.831,
2074
+ "step": 295
2075
+ },
2076
+ {
2077
+ "epoch": 0.01237678099160595,
2078
+ "grad_norm": 0.2518724203109741,
2079
+ "learning_rate": 8.242424242424243e-05,
2080
+ "loss": 0.9086,
2081
+ "step": 296
2082
+ },
2083
+ {
2084
+ "epoch": 0.012418594440901915,
2085
+ "grad_norm": 0.2385004758834839,
2086
+ "learning_rate": 8.202020202020202e-05,
2087
+ "loss": 0.9899,
2088
+ "step": 297
2089
+ },
2090
+ {
2091
+ "epoch": 0.012460407890197882,
2092
+ "grad_norm": 0.25030574202537537,
2093
+ "learning_rate": 8.161616161616163e-05,
2094
+ "loss": 0.9781,
2095
+ "step": 298
2096
+ },
2097
+ {
2098
+ "epoch": 0.012502221339493849,
2099
+ "grad_norm": 0.22869014739990234,
2100
+ "learning_rate": 8.121212121212121e-05,
2101
+ "loss": 1.0988,
2102
+ "step": 299
2103
+ },
2104
+ {
2105
+ "epoch": 0.012544034788789814,
2106
+ "grad_norm": 0.24000000953674316,
2107
+ "learning_rate": 8.080808080808081e-05,
2108
+ "loss": 0.8357,
2109
+ "step": 300
2110
+ },
2111
+ {
2112
+ "epoch": 0.01258584823808578,
2113
+ "grad_norm": 0.24710014462471008,
2114
+ "learning_rate": 8.040404040404041e-05,
2115
+ "loss": 1.0953,
2116
+ "step": 301
2117
+ },
2118
+ {
2119
+ "epoch": 0.012627661687381747,
2120
+ "grad_norm": 0.22500193119049072,
2121
+ "learning_rate": 8e-05,
2122
+ "loss": 0.7748,
2123
+ "step": 302
2124
+ },
2125
+ {
2126
+ "epoch": 0.012669475136677712,
2127
+ "grad_norm": 0.25450679659843445,
2128
+ "learning_rate": 7.95959595959596e-05,
2129
+ "loss": 0.8359,
2130
+ "step": 303
2131
+ },
2132
+ {
2133
+ "epoch": 0.012711288585973679,
2134
+ "grad_norm": 0.22793394327163696,
2135
+ "learning_rate": 7.919191919191919e-05,
2136
+ "loss": 0.8044,
2137
+ "step": 304
2138
+ },
2139
+ {
2140
+ "epoch": 0.012753102035269644,
2141
+ "grad_norm": 0.22946174442768097,
2142
+ "learning_rate": 7.878787878787879e-05,
2143
+ "loss": 0.9852,
2144
+ "step": 305
2145
+ },
2146
+ {
2147
+ "epoch": 0.01279491548456561,
2148
+ "grad_norm": 0.2390022873878479,
2149
+ "learning_rate": 7.83838383838384e-05,
2150
+ "loss": 0.9619,
2151
+ "step": 306
2152
+ },
2153
+ {
2154
+ "epoch": 0.012836728933861577,
2155
+ "grad_norm": 0.24073170125484467,
2156
+ "learning_rate": 7.797979797979798e-05,
2157
+ "loss": 0.8367,
2158
+ "step": 307
2159
+ },
2160
+ {
2161
+ "epoch": 0.012878542383157542,
2162
+ "grad_norm": 0.39702296257019043,
2163
+ "learning_rate": 7.757575757575758e-05,
2164
+ "loss": 0.9108,
2165
+ "step": 308
2166
+ },
2167
+ {
2168
+ "epoch": 0.012920355832453509,
2169
+ "grad_norm": 0.23761232197284698,
2170
+ "learning_rate": 7.717171717171718e-05,
2171
+ "loss": 0.8308,
2172
+ "step": 309
2173
+ },
2174
+ {
2175
+ "epoch": 0.012962169281749475,
2176
+ "grad_norm": 0.2543574273586273,
2177
+ "learning_rate": 7.676767676767676e-05,
2178
+ "loss": 0.9373,
2179
+ "step": 310
2180
+ },
2181
+ {
2182
+ "epoch": 0.01300398273104544,
2183
+ "grad_norm": 0.24255353212356567,
2184
+ "learning_rate": 7.636363636363637e-05,
2185
+ "loss": 0.9015,
2186
+ "step": 311
2187
+ },
2188
+ {
2189
+ "epoch": 0.013045796180341407,
2190
+ "grad_norm": 0.2566438615322113,
2191
+ "learning_rate": 7.595959595959596e-05,
2192
+ "loss": 1.1357,
2193
+ "step": 312
2194
+ },
2195
+ {
2196
+ "epoch": 0.013087609629637374,
2197
+ "grad_norm": 0.2688029110431671,
2198
+ "learning_rate": 7.555555555555556e-05,
2199
+ "loss": 0.8863,
2200
+ "step": 313
2201
+ },
2202
+ {
2203
+ "epoch": 0.013129423078933338,
2204
+ "grad_norm": 0.23739837110042572,
2205
+ "learning_rate": 7.515151515151515e-05,
2206
+ "loss": 0.8883,
2207
+ "step": 314
2208
+ },
2209
+ {
2210
+ "epoch": 0.013171236528229305,
2211
+ "grad_norm": 0.22725465893745422,
2212
+ "learning_rate": 7.474747474747475e-05,
2213
+ "loss": 0.8158,
2214
+ "step": 315
2215
+ },
2216
+ {
2217
+ "epoch": 0.013213049977525272,
2218
+ "grad_norm": 0.24793623387813568,
2219
+ "learning_rate": 7.434343434343435e-05,
2220
+ "loss": 0.9712,
2221
+ "step": 316
2222
+ },
2223
+ {
2224
+ "epoch": 0.013254863426821237,
2225
+ "grad_norm": 0.23433813452720642,
2226
+ "learning_rate": 7.393939393939395e-05,
2227
+ "loss": 0.8579,
2228
+ "step": 317
2229
+ },
2230
+ {
2231
+ "epoch": 0.013296676876117203,
2232
+ "grad_norm": 0.25578951835632324,
2233
+ "learning_rate": 7.353535353535353e-05,
2234
+ "loss": 0.8847,
2235
+ "step": 318
2236
+ },
2237
+ {
2238
+ "epoch": 0.013338490325413168,
2239
+ "grad_norm": 0.2506163716316223,
2240
+ "learning_rate": 7.313131313131314e-05,
2241
+ "loss": 0.9251,
2242
+ "step": 319
2243
+ },
2244
+ {
2245
+ "epoch": 0.013380303774709135,
2246
+ "grad_norm": 0.25213074684143066,
2247
+ "learning_rate": 7.272727272727273e-05,
2248
+ "loss": 1.1687,
2249
+ "step": 320
2250
+ },
2251
+ {
2252
+ "epoch": 0.013422117224005102,
2253
+ "grad_norm": 0.3329940140247345,
2254
+ "learning_rate": 7.232323232323233e-05,
2255
+ "loss": 0.8728,
2256
+ "step": 321
2257
+ },
2258
+ {
2259
+ "epoch": 0.013463930673301067,
2260
+ "grad_norm": 0.23659250140190125,
2261
+ "learning_rate": 7.191919191919192e-05,
2262
+ "loss": 1.0519,
2263
+ "step": 322
2264
+ },
2265
+ {
2266
+ "epoch": 0.013505744122597033,
2267
+ "grad_norm": 0.2429414689540863,
2268
+ "learning_rate": 7.151515151515152e-05,
2269
+ "loss": 0.8684,
2270
+ "step": 323
2271
+ },
2272
+ {
2273
+ "epoch": 0.013547557571893,
2274
+ "grad_norm": 0.24055901169776917,
2275
+ "learning_rate": 7.111111111111112e-05,
2276
+ "loss": 0.8534,
2277
+ "step": 324
2278
+ },
2279
+ {
2280
+ "epoch": 0.013589371021188965,
2281
+ "grad_norm": 0.22518864274024963,
2282
+ "learning_rate": 7.07070707070707e-05,
2283
+ "loss": 0.8576,
2284
+ "step": 325
2285
+ },
2286
+ {
2287
+ "epoch": 0.013631184470484932,
2288
+ "grad_norm": 0.241339311003685,
2289
+ "learning_rate": 7.03030303030303e-05,
2290
+ "loss": 1.2583,
2291
+ "step": 326
2292
+ },
2293
+ {
2294
+ "epoch": 0.013672997919780898,
2295
+ "grad_norm": 0.23949019610881805,
2296
+ "learning_rate": 6.98989898989899e-05,
2297
+ "loss": 0.8277,
2298
+ "step": 327
2299
+ },
2300
+ {
2301
+ "epoch": 0.013714811369076863,
2302
+ "grad_norm": 0.2371453493833542,
2303
+ "learning_rate": 6.94949494949495e-05,
2304
+ "loss": 0.9066,
2305
+ "step": 328
2306
+ },
2307
+ {
2308
+ "epoch": 0.01375662481837283,
2309
+ "grad_norm": 0.24365493655204773,
2310
+ "learning_rate": 6.90909090909091e-05,
2311
+ "loss": 0.9856,
2312
+ "step": 329
2313
+ },
2314
+ {
2315
+ "epoch": 0.013798438267668797,
2316
+ "grad_norm": 0.24753199517726898,
2317
+ "learning_rate": 6.86868686868687e-05,
2318
+ "loss": 0.929,
2319
+ "step": 330
2320
+ },
2321
+ {
2322
+ "epoch": 0.013840251716964761,
2323
+ "grad_norm": 0.23612220585346222,
2324
+ "learning_rate": 6.828282828282828e-05,
2325
+ "loss": 0.901,
2326
+ "step": 331
2327
+ },
2328
+ {
2329
+ "epoch": 0.013882065166260728,
2330
+ "grad_norm": 0.2376374900341034,
2331
+ "learning_rate": 6.787878787878789e-05,
2332
+ "loss": 0.8999,
2333
+ "step": 332
2334
+ },
2335
+ {
2336
+ "epoch": 0.013923878615556693,
2337
+ "grad_norm": 0.24799491465091705,
2338
+ "learning_rate": 6.747474747474747e-05,
2339
+ "loss": 1.0791,
2340
+ "step": 333
2341
+ },
2342
+ {
2343
+ "epoch": 0.01396569206485266,
2344
+ "grad_norm": 0.25469231605529785,
2345
+ "learning_rate": 6.707070707070707e-05,
2346
+ "loss": 1.2027,
2347
+ "step": 334
2348
+ },
2349
+ {
2350
+ "epoch": 0.014007505514148626,
2351
+ "grad_norm": 0.25871676206588745,
2352
+ "learning_rate": 6.666666666666667e-05,
2353
+ "loss": 0.9871,
2354
+ "step": 335
2355
+ },
2356
+ {
2357
+ "epoch": 0.014049318963444591,
2358
+ "grad_norm": 0.34988638758659363,
2359
+ "learning_rate": 6.626262626262627e-05,
2360
+ "loss": 1.1281,
2361
+ "step": 336
2362
+ },
2363
+ {
2364
+ "epoch": 0.014091132412740558,
2365
+ "grad_norm": 0.25281211733818054,
2366
+ "learning_rate": 6.585858585858587e-05,
2367
+ "loss": 0.9106,
2368
+ "step": 337
2369
+ },
2370
+ {
2371
+ "epoch": 0.014132945862036525,
2372
+ "grad_norm": 0.24838191270828247,
2373
+ "learning_rate": 6.545454545454546e-05,
2374
+ "loss": 0.7975,
2375
+ "step": 338
2376
+ },
2377
+ {
2378
+ "epoch": 0.01417475931133249,
2379
+ "grad_norm": 0.2549956142902374,
2380
+ "learning_rate": 6.505050505050505e-05,
2381
+ "loss": 0.9658,
2382
+ "step": 339
2383
+ },
2384
+ {
2385
+ "epoch": 0.014216572760628456,
2386
+ "grad_norm": 0.2315448373556137,
2387
+ "learning_rate": 6.464646464646466e-05,
2388
+ "loss": 0.7873,
2389
+ "step": 340
2390
+ },
2391
+ {
2392
+ "epoch": 0.014258386209924423,
2393
+ "grad_norm": 0.2548529803752899,
2394
+ "learning_rate": 6.424242424242424e-05,
2395
+ "loss": 0.8015,
2396
+ "step": 341
2397
+ },
2398
+ {
2399
+ "epoch": 0.014300199659220388,
2400
+ "grad_norm": 0.30752018094062805,
2401
+ "learning_rate": 6.383838383838384e-05,
2402
+ "loss": 1.1019,
2403
+ "step": 342
2404
+ },
2405
+ {
2406
+ "epoch": 0.014342013108516355,
2407
+ "grad_norm": 0.24216066300868988,
2408
+ "learning_rate": 6.343434343434344e-05,
2409
+ "loss": 0.9709,
2410
+ "step": 343
2411
+ },
2412
+ {
2413
+ "epoch": 0.01438382655781232,
2414
+ "grad_norm": 0.2470254749059677,
2415
+ "learning_rate": 6.303030303030302e-05,
2416
+ "loss": 0.9155,
2417
+ "step": 344
2418
+ },
2419
+ {
2420
+ "epoch": 0.014425640007108286,
2421
+ "grad_norm": 0.24255427718162537,
2422
+ "learning_rate": 6.262626262626264e-05,
2423
+ "loss": 0.8818,
2424
+ "step": 345
2425
+ },
2426
+ {
2427
+ "epoch": 0.014467453456404253,
2428
+ "grad_norm": 0.2458990067243576,
2429
+ "learning_rate": 6.222222222222222e-05,
2430
+ "loss": 0.8466,
2431
+ "step": 346
2432
+ },
2433
+ {
2434
+ "epoch": 0.014509266905700218,
2435
+ "grad_norm": 0.24900957942008972,
2436
+ "learning_rate": 6.181818181818182e-05,
2437
+ "loss": 0.9408,
2438
+ "step": 347
2439
+ },
2440
+ {
2441
+ "epoch": 0.014551080354996184,
2442
+ "grad_norm": 0.21387742459774017,
2443
+ "learning_rate": 6.141414141414142e-05,
2444
+ "loss": 0.9453,
2445
+ "step": 348
2446
+ },
2447
+ {
2448
+ "epoch": 0.014592893804292151,
2449
+ "grad_norm": 0.2548189163208008,
2450
+ "learning_rate": 6.101010101010102e-05,
2451
+ "loss": 0.8626,
2452
+ "step": 349
2453
+ },
2454
+ {
2455
+ "epoch": 0.014634707253588116,
2456
+ "grad_norm": 0.24375221133232117,
2457
+ "learning_rate": 6.060606060606061e-05,
2458
+ "loss": 1.155,
2459
+ "step": 350
2460
+ },
2461
+ {
2462
+ "epoch": 0.014676520702884083,
2463
+ "grad_norm": 0.2517179548740387,
2464
+ "learning_rate": 6.02020202020202e-05,
2465
+ "loss": 1.1613,
2466
+ "step": 351
2467
+ },
2468
+ {
2469
+ "epoch": 0.01471833415218005,
2470
+ "grad_norm": 0.24023565649986267,
2471
+ "learning_rate": 5.97979797979798e-05,
2472
+ "loss": 0.8669,
2473
+ "step": 352
2474
+ },
2475
+ {
2476
+ "epoch": 0.014760147601476014,
2477
+ "grad_norm": 0.24070222675800323,
2478
+ "learning_rate": 5.93939393939394e-05,
2479
+ "loss": 0.8611,
2480
+ "step": 353
2481
+ },
2482
+ {
2483
+ "epoch": 0.014801961050771981,
2484
+ "grad_norm": 0.2375120222568512,
2485
+ "learning_rate": 5.8989898989898996e-05,
2486
+ "loss": 0.7702,
2487
+ "step": 354
2488
+ },
2489
+ {
2490
+ "epoch": 0.014843774500067948,
2491
+ "grad_norm": 0.3407435417175293,
2492
+ "learning_rate": 5.858585858585859e-05,
2493
+ "loss": 1.177,
2494
+ "step": 355
2495
+ },
2496
+ {
2497
+ "epoch": 0.014885587949363913,
2498
+ "grad_norm": 0.23410116136074066,
2499
+ "learning_rate": 5.818181818181818e-05,
2500
+ "loss": 0.7849,
2501
+ "step": 356
2502
+ },
2503
+ {
2504
+ "epoch": 0.01492740139865988,
2505
+ "grad_norm": 0.2335258275270462,
2506
+ "learning_rate": 5.7777777777777776e-05,
2507
+ "loss": 1.1725,
2508
+ "step": 357
2509
+ },
2510
+ {
2511
+ "epoch": 0.014969214847955844,
2512
+ "grad_norm": 0.26608511805534363,
2513
+ "learning_rate": 5.737373737373738e-05,
2514
+ "loss": 1.0011,
2515
+ "step": 358
2516
+ },
2517
+ {
2518
+ "epoch": 0.015011028297251811,
2519
+ "grad_norm": 0.24040436744689941,
2520
+ "learning_rate": 5.696969696969697e-05,
2521
+ "loss": 1.0564,
2522
+ "step": 359
2523
+ },
2524
+ {
2525
+ "epoch": 0.015052841746547778,
2526
+ "grad_norm": 0.24156856536865234,
2527
+ "learning_rate": 5.6565656565656563e-05,
2528
+ "loss": 0.8725,
2529
+ "step": 360
2530
+ },
2531
+ {
2532
+ "epoch": 0.015094655195843742,
2533
+ "grad_norm": 0.24838483333587646,
2534
+ "learning_rate": 5.616161616161616e-05,
2535
+ "loss": 0.9089,
2536
+ "step": 361
2537
+ },
2538
+ {
2539
+ "epoch": 0.01513646864513971,
2540
+ "grad_norm": 0.2677476704120636,
2541
+ "learning_rate": 5.5757575757575766e-05,
2542
+ "loss": 1.0275,
2543
+ "step": 362
2544
+ },
2545
+ {
2546
+ "epoch": 0.015178282094435676,
2547
+ "grad_norm": 0.2671316862106323,
2548
+ "learning_rate": 5.535353535353536e-05,
2549
+ "loss": 0.9059,
2550
+ "step": 363
2551
+ },
2552
+ {
2553
+ "epoch": 0.01522009554373164,
2554
+ "grad_norm": 0.24810616672039032,
2555
+ "learning_rate": 5.494949494949495e-05,
2556
+ "loss": 1.3121,
2557
+ "step": 364
2558
+ },
2559
+ {
2560
+ "epoch": 0.015261908993027607,
2561
+ "grad_norm": 0.28861334919929504,
2562
+ "learning_rate": 5.4545454545454546e-05,
2563
+ "loss": 0.9855,
2564
+ "step": 365
2565
+ },
2566
+ {
2567
+ "epoch": 0.015303722442323574,
2568
+ "grad_norm": 0.25211018323898315,
2569
+ "learning_rate": 5.414141414141415e-05,
2570
+ "loss": 1.1369,
2571
+ "step": 366
2572
+ },
2573
+ {
2574
+ "epoch": 0.015345535891619539,
2575
+ "grad_norm": 1.231808066368103,
2576
+ "learning_rate": 5.373737373737374e-05,
2577
+ "loss": 0.8406,
2578
+ "step": 367
2579
+ },
2580
+ {
2581
+ "epoch": 0.015387349340915506,
2582
+ "grad_norm": 0.5400699973106384,
2583
+ "learning_rate": 5.333333333333333e-05,
2584
+ "loss": 0.848,
2585
+ "step": 368
2586
+ },
2587
+ {
2588
+ "epoch": 0.015429162790211472,
2589
+ "grad_norm": 0.29320618510246277,
2590
+ "learning_rate": 5.292929292929293e-05,
2591
+ "loss": 0.891,
2592
+ "step": 369
2593
+ },
2594
+ {
2595
+ "epoch": 0.015470976239507437,
2596
+ "grad_norm": 0.24232591688632965,
2597
+ "learning_rate": 5.2525252525252536e-05,
2598
+ "loss": 0.8838,
2599
+ "step": 370
2600
+ },
2601
+ {
2602
+ "epoch": 0.015512789688803404,
2603
+ "grad_norm": 0.25413283705711365,
2604
+ "learning_rate": 5.212121212121213e-05,
2605
+ "loss": 1.1661,
2606
+ "step": 371
2607
+ },
2608
+ {
2609
+ "epoch": 0.015554603138099369,
2610
+ "grad_norm": 0.246323823928833,
2611
+ "learning_rate": 5.171717171717172e-05,
2612
+ "loss": 1.2153,
2613
+ "step": 372
2614
+ },
2615
+ {
2616
+ "epoch": 0.015596416587395336,
2617
+ "grad_norm": 0.25972479581832886,
2618
+ "learning_rate": 5.1313131313131316e-05,
2619
+ "loss": 0.9155,
2620
+ "step": 373
2621
+ },
2622
+ {
2623
+ "epoch": 0.015638230036691302,
2624
+ "grad_norm": 0.24290485680103302,
2625
+ "learning_rate": 5.090909090909091e-05,
2626
+ "loss": 0.9279,
2627
+ "step": 374
2628
+ },
2629
+ {
2630
+ "epoch": 0.01568004348598727,
2631
+ "grad_norm": 0.27079811692237854,
2632
+ "learning_rate": 5.050505050505051e-05,
2633
+ "loss": 0.8916,
2634
+ "step": 375
2635
+ },
2636
+ {
2637
+ "epoch": 0.015721856935283232,
2638
+ "grad_norm": 0.24520574510097504,
2639
+ "learning_rate": 5.01010101010101e-05,
2640
+ "loss": 0.9716,
2641
+ "step": 376
2642
+ },
2643
+ {
2644
+ "epoch": 0.0157636703845792,
2645
+ "grad_norm": 0.26845109462738037,
2646
+ "learning_rate": 4.9696969696969694e-05,
2647
+ "loss": 1.1215,
2648
+ "step": 377
2649
+ },
2650
+ {
2651
+ "epoch": 0.015805483833875165,
2652
+ "grad_norm": 0.2476051151752472,
2653
+ "learning_rate": 4.92929292929293e-05,
2654
+ "loss": 1.0693,
2655
+ "step": 378
2656
+ },
2657
+ {
2658
+ "epoch": 0.015847297283171132,
2659
+ "grad_norm": 0.24062906205654144,
2660
+ "learning_rate": 4.888888888888889e-05,
2661
+ "loss": 1.0149,
2662
+ "step": 379
2663
+ },
2664
+ {
2665
+ "epoch": 0.0158891107324671,
2666
+ "grad_norm": 0.25070905685424805,
2667
+ "learning_rate": 4.848484848484849e-05,
2668
+ "loss": 0.9091,
2669
+ "step": 380
2670
+ },
2671
+ {
2672
+ "epoch": 0.015930924181763065,
2673
+ "grad_norm": 0.24878452718257904,
2674
+ "learning_rate": 4.808080808080808e-05,
2675
+ "loss": 0.8852,
2676
+ "step": 381
2677
+ },
2678
+ {
2679
+ "epoch": 0.01597273763105903,
2680
+ "grad_norm": 0.30614715814590454,
2681
+ "learning_rate": 4.7676767676767684e-05,
2682
+ "loss": 1.1909,
2683
+ "step": 382
2684
+ },
2685
+ {
2686
+ "epoch": 0.016014551080354995,
2687
+ "grad_norm": 0.2441512942314148,
2688
+ "learning_rate": 4.7272727272727275e-05,
2689
+ "loss": 0.8701,
2690
+ "step": 383
2691
+ },
2692
+ {
2693
+ "epoch": 0.016056364529650962,
2694
+ "grad_norm": 0.24012567102909088,
2695
+ "learning_rate": 4.686868686868687e-05,
2696
+ "loss": 1.0274,
2697
+ "step": 384
2698
+ },
2699
+ {
2700
+ "epoch": 0.01609817797894693,
2701
+ "grad_norm": 0.2303936928510666,
2702
+ "learning_rate": 4.6464646464646464e-05,
2703
+ "loss": 0.7405,
2704
+ "step": 385
2705
+ },
2706
+ {
2707
+ "epoch": 0.016139991428242895,
2708
+ "grad_norm": 0.3310977518558502,
2709
+ "learning_rate": 4.606060606060607e-05,
2710
+ "loss": 1.0769,
2711
+ "step": 386
2712
+ },
2713
+ {
2714
+ "epoch": 0.016181804877538862,
2715
+ "grad_norm": 0.2602216899394989,
2716
+ "learning_rate": 4.565656565656566e-05,
2717
+ "loss": 0.9418,
2718
+ "step": 387
2719
+ },
2720
+ {
2721
+ "epoch": 0.016223618326834825,
2722
+ "grad_norm": 0.2928454279899597,
2723
+ "learning_rate": 4.525252525252526e-05,
2724
+ "loss": 0.9771,
2725
+ "step": 388
2726
+ },
2727
+ {
2728
+ "epoch": 0.016265431776130792,
2729
+ "grad_norm": 0.31059637665748596,
2730
+ "learning_rate": 4.484848484848485e-05,
2731
+ "loss": 0.9948,
2732
+ "step": 389
2733
+ },
2734
+ {
2735
+ "epoch": 0.01630724522542676,
2736
+ "grad_norm": 0.2816385328769684,
2737
+ "learning_rate": 4.4444444444444447e-05,
2738
+ "loss": 1.0794,
2739
+ "step": 390
2740
+ },
2741
+ {
2742
+ "epoch": 0.016349058674722725,
2743
+ "grad_norm": 0.24497491121292114,
2744
+ "learning_rate": 4.4040404040404044e-05,
2745
+ "loss": 0.8346,
2746
+ "step": 391
2747
+ },
2748
+ {
2749
+ "epoch": 0.016390872124018692,
2750
+ "grad_norm": 0.24517390131950378,
2751
+ "learning_rate": 4.3636363636363636e-05,
2752
+ "loss": 0.9661,
2753
+ "step": 392
2754
+ },
2755
+ {
2756
+ "epoch": 0.016432685573314655,
2757
+ "grad_norm": 0.2598320543766022,
2758
+ "learning_rate": 4.3232323232323234e-05,
2759
+ "loss": 0.8785,
2760
+ "step": 393
2761
+ },
2762
+ {
2763
+ "epoch": 0.016474499022610622,
2764
+ "grad_norm": 0.2503718137741089,
2765
+ "learning_rate": 4.282828282828283e-05,
2766
+ "loss": 0.9695,
2767
+ "step": 394
2768
+ },
2769
+ {
2770
+ "epoch": 0.01651631247190659,
2771
+ "grad_norm": 0.26278936862945557,
2772
+ "learning_rate": 4.242424242424243e-05,
2773
+ "loss": 0.8845,
2774
+ "step": 395
2775
+ },
2776
+ {
2777
+ "epoch": 0.016558125921202555,
2778
+ "grad_norm": 0.2547891139984131,
2779
+ "learning_rate": 4.202020202020202e-05,
2780
+ "loss": 0.9383,
2781
+ "step": 396
2782
+ },
2783
+ {
2784
+ "epoch": 0.016599939370498522,
2785
+ "grad_norm": 0.2657267153263092,
2786
+ "learning_rate": 4.161616161616162e-05,
2787
+ "loss": 0.9293,
2788
+ "step": 397
2789
+ },
2790
+ {
2791
+ "epoch": 0.01664175281979449,
2792
+ "grad_norm": 0.6090709567070007,
2793
+ "learning_rate": 4.1212121212121216e-05,
2794
+ "loss": 0.9352,
2795
+ "step": 398
2796
+ },
2797
+ {
2798
+ "epoch": 0.01668356626909045,
2799
+ "grad_norm": 0.24619267880916595,
2800
+ "learning_rate": 4.0808080808080814e-05,
2801
+ "loss": 1.1351,
2802
+ "step": 399
2803
+ },
2804
+ {
2805
+ "epoch": 0.01672537971838642,
2806
+ "grad_norm": 0.2917110025882721,
2807
+ "learning_rate": 4.0404040404040405e-05,
2808
+ "loss": 1.9349,
2809
+ "step": 400
2810
+ },
2811
+ {
2812
+ "epoch": 0.016767193167682385,
2813
+ "grad_norm": 0.2464229017496109,
2814
+ "learning_rate": 4e-05,
2815
+ "loss": 0.8333,
2816
+ "step": 401
2817
+ },
2818
+ {
2819
+ "epoch": 0.01680900661697835,
2820
+ "grad_norm": 0.257079154253006,
2821
+ "learning_rate": 3.9595959595959594e-05,
2822
+ "loss": 0.8843,
2823
+ "step": 402
2824
+ },
2825
+ {
2826
+ "epoch": 0.01685082006627432,
2827
+ "grad_norm": 0.3248063325881958,
2828
+ "learning_rate": 3.91919191919192e-05,
2829
+ "loss": 0.9127,
2830
+ "step": 403
2831
+ },
2832
+ {
2833
+ "epoch": 0.01689263351557028,
2834
+ "grad_norm": 0.2488846629858017,
2835
+ "learning_rate": 3.878787878787879e-05,
2836
+ "loss": 0.9772,
2837
+ "step": 404
2838
+ },
2839
+ {
2840
+ "epoch": 0.016934446964866248,
2841
+ "grad_norm": 0.26537787914276123,
2842
+ "learning_rate": 3.838383838383838e-05,
2843
+ "loss": 1.088,
2844
+ "step": 405
2845
+ },
2846
+ {
2847
+ "epoch": 0.016976260414162215,
2848
+ "grad_norm": 0.25171270966529846,
2849
+ "learning_rate": 3.797979797979798e-05,
2850
+ "loss": 0.9058,
2851
+ "step": 406
2852
+ },
2853
+ {
2854
+ "epoch": 0.01701807386345818,
2855
+ "grad_norm": 0.27759164571762085,
2856
+ "learning_rate": 3.757575757575758e-05,
2857
+ "loss": 1.0035,
2858
+ "step": 407
2859
+ },
2860
+ {
2861
+ "epoch": 0.017059887312754148,
2862
+ "grad_norm": 0.25512200593948364,
2863
+ "learning_rate": 3.7171717171717175e-05,
2864
+ "loss": 0.8536,
2865
+ "step": 408
2866
+ },
2867
+ {
2868
+ "epoch": 0.017101700762050115,
2869
+ "grad_norm": 0.2517940104007721,
2870
+ "learning_rate": 3.6767676767676766e-05,
2871
+ "loss": 1.1496,
2872
+ "step": 409
2873
+ },
2874
+ {
2875
+ "epoch": 0.017143514211346078,
2876
+ "grad_norm": 0.23167800903320312,
2877
+ "learning_rate": 3.6363636363636364e-05,
2878
+ "loss": 0.8153,
2879
+ "step": 410
2880
+ },
2881
+ {
2882
+ "epoch": 0.017185327660642045,
2883
+ "grad_norm": 0.24471765756607056,
2884
+ "learning_rate": 3.595959595959596e-05,
2885
+ "loss": 0.9054,
2886
+ "step": 411
2887
+ },
2888
+ {
2889
+ "epoch": 0.01722714110993801,
2890
+ "grad_norm": 0.24124263226985931,
2891
+ "learning_rate": 3.555555555555556e-05,
2892
+ "loss": 0.85,
2893
+ "step": 412
2894
+ },
2895
+ {
2896
+ "epoch": 0.017268954559233978,
2897
+ "grad_norm": 0.24065597355365753,
2898
+ "learning_rate": 3.515151515151515e-05,
2899
+ "loss": 0.9375,
2900
+ "step": 413
2901
+ },
2902
+ {
2903
+ "epoch": 0.017310768008529945,
2904
+ "grad_norm": 0.24606922268867493,
2905
+ "learning_rate": 3.474747474747475e-05,
2906
+ "loss": 0.8626,
2907
+ "step": 414
2908
+ },
2909
+ {
2910
+ "epoch": 0.017352581457825908,
2911
+ "grad_norm": 0.24860136210918427,
2912
+ "learning_rate": 3.434343434343435e-05,
2913
+ "loss": 1.054,
2914
+ "step": 415
2915
+ },
2916
+ {
2917
+ "epoch": 0.017394394907121875,
2918
+ "grad_norm": 0.23613376915454865,
2919
+ "learning_rate": 3.3939393939393945e-05,
2920
+ "loss": 0.847,
2921
+ "step": 416
2922
+ },
2923
+ {
2924
+ "epoch": 0.01743620835641784,
2925
+ "grad_norm": 0.2380017638206482,
2926
+ "learning_rate": 3.3535353535353536e-05,
2927
+ "loss": 1.0066,
2928
+ "step": 417
2929
+ },
2930
+ {
2931
+ "epoch": 0.017478021805713808,
2932
+ "grad_norm": 0.2586548626422882,
2933
+ "learning_rate": 3.3131313131313134e-05,
2934
+ "loss": 1.0471,
2935
+ "step": 418
2936
+ },
2937
+ {
2938
+ "epoch": 0.017519835255009775,
2939
+ "grad_norm": 0.2610139548778534,
2940
+ "learning_rate": 3.272727272727273e-05,
2941
+ "loss": 0.8697,
2942
+ "step": 419
2943
+ },
2944
+ {
2945
+ "epoch": 0.01756164870430574,
2946
+ "grad_norm": 0.24659010767936707,
2947
+ "learning_rate": 3.232323232323233e-05,
2948
+ "loss": 0.9905,
2949
+ "step": 420
2950
+ },
2951
+ {
2952
+ "epoch": 0.017603462153601705,
2953
+ "grad_norm": 0.25451886653900146,
2954
+ "learning_rate": 3.191919191919192e-05,
2955
+ "loss": 0.9753,
2956
+ "step": 421
2957
+ },
2958
+ {
2959
+ "epoch": 0.01764527560289767,
2960
+ "grad_norm": 0.2710777223110199,
2961
+ "learning_rate": 3.151515151515151e-05,
2962
+ "loss": 0.9521,
2963
+ "step": 422
2964
+ },
2965
+ {
2966
+ "epoch": 0.017687089052193638,
2967
+ "grad_norm": 0.26839956641197205,
2968
+ "learning_rate": 3.111111111111111e-05,
2969
+ "loss": 0.9345,
2970
+ "step": 423
2971
+ },
2972
+ {
2973
+ "epoch": 0.017728902501489605,
2974
+ "grad_norm": 0.24387024343013763,
2975
+ "learning_rate": 3.070707070707071e-05,
2976
+ "loss": 0.9738,
2977
+ "step": 424
2978
+ },
2979
+ {
2980
+ "epoch": 0.01777071595078557,
2981
+ "grad_norm": 0.2604621350765228,
2982
+ "learning_rate": 3.0303030303030306e-05,
2983
+ "loss": 0.9345,
2984
+ "step": 425
2985
+ },
2986
+ {
2987
+ "epoch": 0.017812529400081538,
2988
+ "grad_norm": 0.2625117599964142,
2989
+ "learning_rate": 2.98989898989899e-05,
2990
+ "loss": 0.8845,
2991
+ "step": 426
2992
+ },
2993
+ {
2994
+ "epoch": 0.0178543428493775,
2995
+ "grad_norm": 0.2582264542579651,
2996
+ "learning_rate": 2.9494949494949498e-05,
2997
+ "loss": 0.9636,
2998
+ "step": 427
2999
+ },
3000
+ {
3001
+ "epoch": 0.017896156298673468,
3002
+ "grad_norm": 0.23798999190330505,
3003
+ "learning_rate": 2.909090909090909e-05,
3004
+ "loss": 0.7743,
3005
+ "step": 428
3006
+ },
3007
+ {
3008
+ "epoch": 0.017937969747969434,
3009
+ "grad_norm": 0.25542187690734863,
3010
+ "learning_rate": 2.868686868686869e-05,
3011
+ "loss": 1.0229,
3012
+ "step": 429
3013
+ },
3014
+ {
3015
+ "epoch": 0.0179797831972654,
3016
+ "grad_norm": 0.23531381785869598,
3017
+ "learning_rate": 2.8282828282828282e-05,
3018
+ "loss": 1.0469,
3019
+ "step": 430
3020
+ },
3021
+ {
3022
+ "epoch": 0.018021596646561368,
3023
+ "grad_norm": 0.2434222549200058,
3024
+ "learning_rate": 2.7878787878787883e-05,
3025
+ "loss": 0.8244,
3026
+ "step": 431
3027
+ },
3028
+ {
3029
+ "epoch": 0.01806341009585733,
3030
+ "grad_norm": 0.2635379135608673,
3031
+ "learning_rate": 2.7474747474747474e-05,
3032
+ "loss": 0.9535,
3033
+ "step": 432
3034
+ },
3035
+ {
3036
+ "epoch": 0.018105223545153298,
3037
+ "grad_norm": 0.25633907318115234,
3038
+ "learning_rate": 2.7070707070707075e-05,
3039
+ "loss": 0.8982,
3040
+ "step": 433
3041
+ },
3042
+ {
3043
+ "epoch": 0.018147036994449264,
3044
+ "grad_norm": 0.25313177704811096,
3045
+ "learning_rate": 2.6666666666666667e-05,
3046
+ "loss": 0.8999,
3047
+ "step": 434
3048
+ },
3049
+ {
3050
+ "epoch": 0.01818885044374523,
3051
+ "grad_norm": 0.2359696477651596,
3052
+ "learning_rate": 2.6262626262626268e-05,
3053
+ "loss": 0.8759,
3054
+ "step": 435
3055
+ },
3056
+ {
3057
+ "epoch": 0.018230663893041198,
3058
+ "grad_norm": 0.29557114839553833,
3059
+ "learning_rate": 2.585858585858586e-05,
3060
+ "loss": 0.9535,
3061
+ "step": 436
3062
+ },
3063
+ {
3064
+ "epoch": 0.018272477342337164,
3065
+ "grad_norm": 0.24904978275299072,
3066
+ "learning_rate": 2.5454545454545454e-05,
3067
+ "loss": 0.8796,
3068
+ "step": 437
3069
+ },
3070
+ {
3071
+ "epoch": 0.018314290791633128,
3072
+ "grad_norm": 0.271016001701355,
3073
+ "learning_rate": 2.505050505050505e-05,
3074
+ "loss": 1.0809,
3075
+ "step": 438
3076
+ },
3077
+ {
3078
+ "epoch": 0.018356104240929094,
3079
+ "grad_norm": 0.2593722641468048,
3080
+ "learning_rate": 2.464646464646465e-05,
3081
+ "loss": 0.9418,
3082
+ "step": 439
3083
+ },
3084
+ {
3085
+ "epoch": 0.01839791769022506,
3086
+ "grad_norm": 0.2632979452610016,
3087
+ "learning_rate": 2.4242424242424244e-05,
3088
+ "loss": 1.0064,
3089
+ "step": 440
3090
+ },
3091
+ {
3092
+ "epoch": 0.018439731139521028,
3093
+ "grad_norm": 0.26291918754577637,
3094
+ "learning_rate": 2.3838383838383842e-05,
3095
+ "loss": 1.3494,
3096
+ "step": 441
3097
+ },
3098
+ {
3099
+ "epoch": 0.018481544588816994,
3100
+ "grad_norm": 0.28495603799819946,
3101
+ "learning_rate": 2.3434343434343436e-05,
3102
+ "loss": 1.064,
3103
+ "step": 442
3104
+ },
3105
+ {
3106
+ "epoch": 0.018523358038112957,
3107
+ "grad_norm": 0.25690269470214844,
3108
+ "learning_rate": 2.3030303030303034e-05,
3109
+ "loss": 1.1179,
3110
+ "step": 443
3111
+ },
3112
+ {
3113
+ "epoch": 0.018565171487408924,
3114
+ "grad_norm": 0.24951989948749542,
3115
+ "learning_rate": 2.262626262626263e-05,
3116
+ "loss": 1.0345,
3117
+ "step": 444
3118
+ },
3119
+ {
3120
+ "epoch": 0.01860698493670489,
3121
+ "grad_norm": 0.2684321701526642,
3122
+ "learning_rate": 2.2222222222222223e-05,
3123
+ "loss": 0.8994,
3124
+ "step": 445
3125
+ },
3126
+ {
3127
+ "epoch": 0.018648798386000857,
3128
+ "grad_norm": 0.36709463596343994,
3129
+ "learning_rate": 2.1818181818181818e-05,
3130
+ "loss": 0.9514,
3131
+ "step": 446
3132
+ },
3133
+ {
3134
+ "epoch": 0.018690611835296824,
3135
+ "grad_norm": 0.23593302071094513,
3136
+ "learning_rate": 2.1414141414141416e-05,
3137
+ "loss": 0.822,
3138
+ "step": 447
3139
+ },
3140
+ {
3141
+ "epoch": 0.01873242528459279,
3142
+ "grad_norm": 0.23129960894584656,
3143
+ "learning_rate": 2.101010101010101e-05,
3144
+ "loss": 0.9689,
3145
+ "step": 448
3146
+ },
3147
+ {
3148
+ "epoch": 0.018774238733888754,
3149
+ "grad_norm": 0.2726437449455261,
3150
+ "learning_rate": 2.0606060606060608e-05,
3151
+ "loss": 0.9463,
3152
+ "step": 449
3153
+ },
3154
+ {
3155
+ "epoch": 0.01881605218318472,
3156
+ "grad_norm": 0.2599771320819855,
3157
+ "learning_rate": 2.0202020202020203e-05,
3158
+ "loss": 0.9269,
3159
+ "step": 450
3160
+ },
3161
+ {
3162
+ "epoch": 0.018857865632480687,
3163
+ "grad_norm": 0.23631487786769867,
3164
+ "learning_rate": 1.9797979797979797e-05,
3165
+ "loss": 0.8803,
3166
+ "step": 451
3167
+ },
3168
+ {
3169
+ "epoch": 0.018899679081776654,
3170
+ "grad_norm": 0.25362351536750793,
3171
+ "learning_rate": 1.9393939393939395e-05,
3172
+ "loss": 0.8708,
3173
+ "step": 452
3174
+ },
3175
+ {
3176
+ "epoch": 0.01894149253107262,
3177
+ "grad_norm": 0.251736044883728,
3178
+ "learning_rate": 1.898989898989899e-05,
3179
+ "loss": 0.8972,
3180
+ "step": 453
3181
+ },
3182
+ {
3183
+ "epoch": 0.018983305980368584,
3184
+ "grad_norm": 0.26444554328918457,
3185
+ "learning_rate": 1.8585858585858588e-05,
3186
+ "loss": 0.8354,
3187
+ "step": 454
3188
+ },
3189
+ {
3190
+ "epoch": 0.01902511942966455,
3191
+ "grad_norm": 0.2520543336868286,
3192
+ "learning_rate": 1.8181818181818182e-05,
3193
+ "loss": 0.8819,
3194
+ "step": 455
3195
+ },
3196
+ {
3197
+ "epoch": 0.019066932878960517,
3198
+ "grad_norm": 0.23527085781097412,
3199
+ "learning_rate": 1.777777777777778e-05,
3200
+ "loss": 0.8326,
3201
+ "step": 456
3202
+ },
3203
+ {
3204
+ "epoch": 0.019108746328256484,
3205
+ "grad_norm": 0.2357388734817505,
3206
+ "learning_rate": 1.7373737373737375e-05,
3207
+ "loss": 0.903,
3208
+ "step": 457
3209
+ },
3210
+ {
3211
+ "epoch": 0.01915055977755245,
3212
+ "grad_norm": 0.25031155347824097,
3213
+ "learning_rate": 1.6969696969696972e-05,
3214
+ "loss": 0.9328,
3215
+ "step": 458
3216
+ },
3217
+ {
3218
+ "epoch": 0.019192373226848417,
3219
+ "grad_norm": 0.26259344816207886,
3220
+ "learning_rate": 1.6565656565656567e-05,
3221
+ "loss": 0.9971,
3222
+ "step": 459
3223
+ },
3224
+ {
3225
+ "epoch": 0.01923418667614438,
3226
+ "grad_norm": 0.24670587480068207,
3227
+ "learning_rate": 1.6161616161616165e-05,
3228
+ "loss": 0.7794,
3229
+ "step": 460
3230
+ },
3231
+ {
3232
+ "epoch": 0.019276000125440347,
3233
+ "grad_norm": 0.2741599678993225,
3234
+ "learning_rate": 1.5757575757575756e-05,
3235
+ "loss": 1.0328,
3236
+ "step": 461
3237
+ },
3238
+ {
3239
+ "epoch": 0.019317813574736314,
3240
+ "grad_norm": 0.24906563758850098,
3241
+ "learning_rate": 1.5353535353535354e-05,
3242
+ "loss": 0.8901,
3243
+ "step": 462
3244
+ },
3245
+ {
3246
+ "epoch": 0.01935962702403228,
3247
+ "grad_norm": 0.2557568848133087,
3248
+ "learning_rate": 1.494949494949495e-05,
3249
+ "loss": 0.7847,
3250
+ "step": 463
3251
+ },
3252
+ {
3253
+ "epoch": 0.019401440473328247,
3254
+ "grad_norm": 0.26695290207862854,
3255
+ "learning_rate": 1.4545454545454545e-05,
3256
+ "loss": 0.9652,
3257
+ "step": 464
3258
+ },
3259
+ {
3260
+ "epoch": 0.019443253922624214,
3261
+ "grad_norm": 0.3295172154903412,
3262
+ "learning_rate": 1.4141414141414141e-05,
3263
+ "loss": 0.8916,
3264
+ "step": 465
3265
+ },
3266
+ {
3267
+ "epoch": 0.019485067371920177,
3268
+ "grad_norm": 0.252997487783432,
3269
+ "learning_rate": 1.3737373737373737e-05,
3270
+ "loss": 1.1284,
3271
+ "step": 466
3272
+ },
3273
+ {
3274
+ "epoch": 0.019526880821216144,
3275
+ "grad_norm": 0.5548291802406311,
3276
+ "learning_rate": 1.3333333333333333e-05,
3277
+ "loss": 1.1207,
3278
+ "step": 467
3279
+ },
3280
+ {
3281
+ "epoch": 0.01956869427051211,
3282
+ "grad_norm": 0.24896806478500366,
3283
+ "learning_rate": 1.292929292929293e-05,
3284
+ "loss": 0.9405,
3285
+ "step": 468
3286
+ },
3287
+ {
3288
+ "epoch": 0.019610507719808077,
3289
+ "grad_norm": 0.2600722312927246,
3290
+ "learning_rate": 1.2525252525252526e-05,
3291
+ "loss": 1.0259,
3292
+ "step": 469
3293
+ },
3294
+ {
3295
+ "epoch": 0.019652321169104044,
3296
+ "grad_norm": 0.24259240925312042,
3297
+ "learning_rate": 1.2121212121212122e-05,
3298
+ "loss": 0.986,
3299
+ "step": 470
3300
+ },
3301
+ {
3302
+ "epoch": 0.019694134618400007,
3303
+ "grad_norm": 0.36460819840431213,
3304
+ "learning_rate": 1.1717171717171718e-05,
3305
+ "loss": 0.9039,
3306
+ "step": 471
3307
+ },
3308
+ {
3309
+ "epoch": 0.019735948067695974,
3310
+ "grad_norm": 0.2529830038547516,
3311
+ "learning_rate": 1.1313131313131314e-05,
3312
+ "loss": 0.9908,
3313
+ "step": 472
3314
+ },
3315
+ {
3316
+ "epoch": 0.01977776151699194,
3317
+ "grad_norm": 0.25467124581336975,
3318
+ "learning_rate": 1.0909090909090909e-05,
3319
+ "loss": 0.9427,
3320
+ "step": 473
3321
+ },
3322
+ {
3323
+ "epoch": 0.019819574966287907,
3324
+ "grad_norm": 0.2367878407239914,
3325
+ "learning_rate": 1.0505050505050505e-05,
3326
+ "loss": 0.8862,
3327
+ "step": 474
3328
+ },
3329
+ {
3330
+ "epoch": 0.019861388415583874,
3331
+ "grad_norm": 0.2721892297267914,
3332
+ "learning_rate": 1.0101010101010101e-05,
3333
+ "loss": 1.2878,
3334
+ "step": 475
3335
+ },
3336
+ {
3337
+ "epoch": 0.01990320186487984,
3338
+ "grad_norm": 0.2348298728466034,
3339
+ "learning_rate": 9.696969696969698e-06,
3340
+ "loss": 0.773,
3341
+ "step": 476
3342
+ },
3343
+ {
3344
+ "epoch": 0.019945015314175803,
3345
+ "grad_norm": 0.24767175316810608,
3346
+ "learning_rate": 9.292929292929294e-06,
3347
+ "loss": 0.9322,
3348
+ "step": 477
3349
+ },
3350
+ {
3351
+ "epoch": 0.01998682876347177,
3352
+ "grad_norm": 0.240976944565773,
3353
+ "learning_rate": 8.88888888888889e-06,
3354
+ "loss": 0.8514,
3355
+ "step": 478
3356
+ },
3357
+ {
3358
+ "epoch": 0.020028642212767737,
3359
+ "grad_norm": 0.261461079120636,
3360
+ "learning_rate": 8.484848484848486e-06,
3361
+ "loss": 1.1966,
3362
+ "step": 479
3363
+ },
3364
+ {
3365
+ "epoch": 0.020070455662063703,
3366
+ "grad_norm": 0.2758338749408722,
3367
+ "learning_rate": 8.080808080808082e-06,
3368
+ "loss": 1.1045,
3369
+ "step": 480
3370
+ },
3371
+ {
3372
+ "epoch": 0.02011226911135967,
3373
+ "grad_norm": 0.2313009798526764,
3374
+ "learning_rate": 7.676767676767677e-06,
3375
+ "loss": 0.7291,
3376
+ "step": 481
3377
+ },
3378
+ {
3379
+ "epoch": 0.020154082560655633,
3380
+ "grad_norm": 0.2852662205696106,
3381
+ "learning_rate": 7.272727272727272e-06,
3382
+ "loss": 1.298,
3383
+ "step": 482
3384
+ },
3385
+ {
3386
+ "epoch": 0.0201958960099516,
3387
+ "grad_norm": 0.24057692289352417,
3388
+ "learning_rate": 6.8686868686868685e-06,
3389
+ "loss": 0.9034,
3390
+ "step": 483
3391
+ },
3392
+ {
3393
+ "epoch": 0.020237709459247567,
3394
+ "grad_norm": 0.2478017508983612,
3395
+ "learning_rate": 6.464646464646465e-06,
3396
+ "loss": 0.825,
3397
+ "step": 484
3398
+ },
3399
+ {
3400
+ "epoch": 0.020279522908543533,
3401
+ "grad_norm": 0.23157985508441925,
3402
+ "learning_rate": 6.060606060606061e-06,
3403
+ "loss": 1.0841,
3404
+ "step": 485
3405
+ },
3406
+ {
3407
+ "epoch": 0.0203213363578395,
3408
+ "grad_norm": 0.2523317039012909,
3409
+ "learning_rate": 5.656565656565657e-06,
3410
+ "loss": 1.0396,
3411
+ "step": 486
3412
+ },
3413
+ {
3414
+ "epoch": 0.020363149807135467,
3415
+ "grad_norm": 0.25328120589256287,
3416
+ "learning_rate": 5.2525252525252526e-06,
3417
+ "loss": 0.9431,
3418
+ "step": 487
3419
+ },
3420
+ {
3421
+ "epoch": 0.02040496325643143,
3422
+ "grad_norm": 0.2451692521572113,
3423
+ "learning_rate": 4.848484848484849e-06,
3424
+ "loss": 1.0761,
3425
+ "step": 488
3426
+ },
3427
+ {
3428
+ "epoch": 0.020446776705727397,
3429
+ "grad_norm": 0.24553346633911133,
3430
+ "learning_rate": 4.444444444444445e-06,
3431
+ "loss": 1.1271,
3432
+ "step": 489
3433
+ },
3434
+ {
3435
+ "epoch": 0.020488590155023363,
3436
+ "grad_norm": 0.36932989954948425,
3437
+ "learning_rate": 4.040404040404041e-06,
3438
+ "loss": 0.9458,
3439
+ "step": 490
3440
+ },
3441
+ {
3442
+ "epoch": 0.02053040360431933,
3443
+ "grad_norm": 0.2384217381477356,
3444
+ "learning_rate": 3.636363636363636e-06,
3445
+ "loss": 0.9282,
3446
+ "step": 491
3447
+ },
3448
+ {
3449
+ "epoch": 0.020572217053615297,
3450
+ "grad_norm": 0.25285932421684265,
3451
+ "learning_rate": 3.2323232323232324e-06,
3452
+ "loss": 0.9416,
3453
+ "step": 492
3454
+ },
3455
+ {
3456
+ "epoch": 0.02061403050291126,
3457
+ "grad_norm": 0.6776081919670105,
3458
+ "learning_rate": 2.8282828282828286e-06,
3459
+ "loss": 1.0684,
3460
+ "step": 493
3461
+ },
3462
+ {
3463
+ "epoch": 0.020655843952207226,
3464
+ "grad_norm": 0.4594746530056,
3465
+ "learning_rate": 2.4242424242424244e-06,
3466
+ "loss": 1.1019,
3467
+ "step": 494
3468
+ },
3469
+ {
3470
+ "epoch": 0.020697657401503193,
3471
+ "grad_norm": 0.24249747395515442,
3472
+ "learning_rate": 2.0202020202020206e-06,
3473
+ "loss": 0.9081,
3474
+ "step": 495
3475
+ },
3476
+ {
3477
+ "epoch": 0.02073947085079916,
3478
+ "grad_norm": 0.24494624137878418,
3479
+ "learning_rate": 1.6161616161616162e-06,
3480
+ "loss": 0.8783,
3481
+ "step": 496
3482
+ },
3483
+ {
3484
+ "epoch": 0.020781284300095126,
3485
+ "grad_norm": 0.26583802700042725,
3486
+ "learning_rate": 1.2121212121212122e-06,
3487
+ "loss": 0.8981,
3488
+ "step": 497
3489
+ },
3490
+ {
3491
+ "epoch": 0.020823097749391093,
3492
+ "grad_norm": 0.29171836376190186,
3493
+ "learning_rate": 8.080808080808081e-07,
3494
+ "loss": 0.8406,
3495
+ "step": 498
3496
+ },
3497
+ {
3498
+ "epoch": 0.020864911198687056,
3499
+ "grad_norm": 0.31394335627555847,
3500
+ "learning_rate": 4.0404040404040405e-07,
3501
+ "loss": 1.0501,
3502
+ "step": 499
3503
+ },
3504
+ {
3505
+ "epoch": 0.020906724647983023,
3506
+ "grad_norm": 0.2837514281272888,
3507
+ "learning_rate": 0.0,
3508
+ "loss": 1.2815,
3509
+ "step": 500
3510
+ }
3511
+ ],
3512
+ "logging_steps": 1,
3513
+ "max_steps": 500,
3514
+ "num_input_tokens_seen": 0,
3515
+ "num_train_epochs": 1,
3516
+ "save_steps": 500,
3517
+ "stateful_callbacks": {
3518
+ "TrainerControl": {
3519
+ "args": {
3520
+ "should_epoch_stop": false,
3521
+ "should_evaluate": false,
3522
+ "should_log": false,
3523
+ "should_save": true,
3524
+ "should_training_stop": true
3525
+ },
3526
+ "attributes": {}
3527
+ }
3528
+ },
3529
+ "total_flos": 5.7182011785216e+17,
3530
+ "train_batch_size": 2,
3531
+ "trial_name": null,
3532
+ "trial_params": null
3533
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10cacbdc697a62807ee4b20053318c873c4d40b257e26659fe24329cb94c81f9
3
+ size 5496