Attila1011 commited on
Commit
1a9f37b
·
verified ·
1 Parent(s): 6c34035

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -69,3 +69,4 @@ checkpoints-v4.6++/checkpoint-2048/eval_state.json filter=lfs diff=lfs merge=lfs
69
  checkpoints-v5.14/checkpoint-21504/eval_state.json filter=lfs diff=lfs merge=lfs -text
70
  checkpoints-v4.6++/checkpoint-16384/eval_state.json filter=lfs diff=lfs merge=lfs -text
71
  checkpoints-v4.6++/checkpoint-21504/eval_state.json filter=lfs diff=lfs merge=lfs -text
 
 
69
  checkpoints-v5.14/checkpoint-21504/eval_state.json filter=lfs diff=lfs merge=lfs -text
70
  checkpoints-v4.6++/checkpoint-16384/eval_state.json filter=lfs diff=lfs merge=lfs -text
71
  checkpoints-v4.6++/checkpoint-21504/eval_state.json filter=lfs diff=lfs merge=lfs -text
72
+ checkpoints-v5.14-b/checkpoint-11264/eval_state.json filter=lfs diff=lfs merge=lfs -text
checkpoints-v5.14-b/checkpoint-11264/ema.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b51fa89ae53848b02ac3041d9b806dfa97b47d532a49d272e6010ac8449e25f
3
+ size 54599376
checkpoints-v5.14-b/checkpoint-11264/eval_state.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a6e4d11d156901571263fed8c3c5317e98b9cb4b31b35c976dccfb3c9e257313
3
+ size 60398129
checkpoints-v5.14-b/checkpoint-11264/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:447937528d2e0f80378ebf3a80ef031e12ab7e3aae1ae150ee9f4f11e0d46a57
3
+ size 54599408
checkpoints-v5.14-b/checkpoint-11264/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:085a81575aebdc67820509e94a9a8198410e642eadef113dfa7f3d7036773e22
3
+ size 76550347
checkpoints-v5.14-b/checkpoint-11264/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db58e1fa1043771ede7e059026a171217e359b9877ce2b1ad7350e695e5e52ca
3
+ size 14645
checkpoints-v5.14-b/checkpoint-11264/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2bc1deecadc15fe17bd4c226452ce66514bbebe4fb815dfbca959ed5b136b4e
3
+ size 1383
checkpoints-v5.14-b/checkpoint-11264/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:21c700f8c7da85aa9d4c7cb7c4f2fe1f5cc1460165fd5b9ff6c072c94729a07e
3
+ size 1465
checkpoints-v5.14-b/checkpoint-11264/trainer_state.json ADDED
@@ -0,0 +1,430 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.4854440062921542,
6
+ "eval_steps": 1024,
7
+ "global_step": 11264,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.04413127329928675,
14
+ "grad_norm": 3.5038137435913086,
15
+ "learning_rate": 9.990234375e-05,
16
+ "loss": 6.057439804077148,
17
+ "step": 1024
18
+ },
19
+ {
20
+ "epoch": 0.04413127329928675,
21
+ "eval_bleu": 0.2426675221355373,
22
+ "eval_ce_clean_loss": 2.9316839322860817,
23
+ "eval_ce_pred_loss": 4.482480068450798,
24
+ "eval_flow_mse_loss": 0.6319804731716734,
25
+ "eval_loss": 3.3103087014480947,
26
+ "flow/cos_sim": 0.635355739705344,
27
+ "flow/improvement_ratio": 0.9764192818578626,
28
+ "flow/mag_ratio_mean": 0.5770339130846931,
29
+ "flow/mag_ratio_std": 0.14402958688769005,
30
+ "step": 1024
31
+ },
32
+ {
33
+ "epoch": 0.04413127329928675,
34
+ "eval_bleu": 0.2426675221355373,
35
+ "eval_ce_clean_loss": 2.9316839322860817,
36
+ "eval_ce_pred_loss": 4.482480068450798,
37
+ "eval_flow_mse_loss": 0.6319804731716734,
38
+ "eval_loss": 3.3103087014480947,
39
+ "eval_runtime": 208.0294,
40
+ "eval_samples_per_second": 144.21,
41
+ "eval_steps_per_second": 2.254,
42
+ "flow/cos_sim": 0.635355739705344,
43
+ "flow/improvement_ratio": 0.9764192818578626,
44
+ "flow/mag_ratio_mean": 0.5770339130846931,
45
+ "flow/mag_ratio_std": 0.14402958688769005,
46
+ "step": 1024
47
+ },
48
+ {
49
+ "epoch": 0.0882625465985735,
50
+ "grad_norm": 1.926490068435669,
51
+ "learning_rate": 9.9476028157316e-05,
52
+ "loss": 2.1645209789276123,
53
+ "step": 2048
54
+ },
55
+ {
56
+ "epoch": 0.0882625465985735,
57
+ "eval_bleu": 0.48220850181934927,
58
+ "eval_ce_clean_loss": 0.613176057969075,
59
+ "eval_ce_pred_loss": 2.3207095317494897,
60
+ "eval_flow_mse_loss": 0.4048997118020617,
61
+ "eval_loss": 1.378079512734403,
62
+ "flow/cos_sim": 0.7912600633940463,
63
+ "flow/improvement_ratio": 0.9882536935907945,
64
+ "flow/mag_ratio_mean": 0.7671358553585468,
65
+ "flow/mag_ratio_std": 0.1786356564523823,
66
+ "step": 2048
67
+ },
68
+ {
69
+ "epoch": 0.0882625465985735,
70
+ "eval_bleu": 0.48220850181934927,
71
+ "eval_ce_clean_loss": 0.613176057969075,
72
+ "eval_ce_pred_loss": 2.3207095317494897,
73
+ "eval_flow_mse_loss": 0.4048997118020617,
74
+ "eval_loss": 1.378079512734403,
75
+ "eval_runtime": 206.3397,
76
+ "eval_samples_per_second": 145.391,
77
+ "eval_steps_per_second": 2.273,
78
+ "flow/cos_sim": 0.7912600633940463,
79
+ "flow/improvement_ratio": 0.9882536935907945,
80
+ "flow/mag_ratio_mean": 0.7671358553585468,
81
+ "flow/mag_ratio_std": 0.1786356564523823,
82
+ "step": 2048
83
+ },
84
+ {
85
+ "epoch": 0.13239381989786023,
86
+ "grad_norm": 1.3207149505615234,
87
+ "learning_rate": 9.791307026072513e-05,
88
+ "loss": 1.138239860534668,
89
+ "step": 3072
90
+ },
91
+ {
92
+ "epoch": 0.13239381989786023,
93
+ "eval_bleu": 0.5707655489901116,
94
+ "eval_ce_clean_loss": 0.1664807415529609,
95
+ "eval_ce_pred_loss": 1.5110007490176383,
96
+ "eval_flow_mse_loss": 0.3588737631276218,
97
+ "eval_loss": 0.9237511695575104,
98
+ "flow/cos_sim": 0.8204902978594115,
99
+ "flow/improvement_ratio": 0.99233325928259,
100
+ "flow/mag_ratio_mean": 0.7965286766796478,
101
+ "flow/mag_ratio_std": 0.17134010836259642,
102
+ "step": 3072
103
+ },
104
+ {
105
+ "epoch": 0.13239381989786023,
106
+ "eval_bleu": 0.5707655489901116,
107
+ "eval_ce_clean_loss": 0.1664807415529609,
108
+ "eval_ce_pred_loss": 1.5110007490176383,
109
+ "eval_flow_mse_loss": 0.3588737631276218,
110
+ "eval_loss": 0.9237511695575104,
111
+ "eval_runtime": 207.5236,
112
+ "eval_samples_per_second": 144.562,
113
+ "eval_steps_per_second": 2.26,
114
+ "flow/cos_sim": 0.8204902978594115,
115
+ "flow/improvement_ratio": 0.99233325928259,
116
+ "flow/mag_ratio_mean": 0.7965286766796478,
117
+ "flow/mag_ratio_std": 0.17134010836259642,
118
+ "step": 3072
119
+ },
120
+ {
121
+ "epoch": 0.176525093197147,
122
+ "grad_norm": 0.8647923469543457,
123
+ "learning_rate": 9.53439476074686e-05,
124
+ "loss": 0.8891093730926514,
125
+ "step": 4096
126
+ },
127
+ {
128
+ "epoch": 0.176525093197147,
129
+ "eval_bleu": 0.602648493788286,
130
+ "eval_ce_clean_loss": 0.07902319778575063,
131
+ "eval_ce_pred_loss": 1.258515450491834,
132
+ "eval_flow_mse_loss": 0.3336726897942232,
133
+ "eval_loss": 0.7917237284341092,
134
+ "flow/cos_sim": 0.8359491508652661,
135
+ "flow/improvement_ratio": 0.9927860422175068,
136
+ "flow/mag_ratio_mean": 0.8206447137952614,
137
+ "flow/mag_ratio_std": 0.15771287044228266,
138
+ "step": 4096
139
+ },
140
+ {
141
+ "epoch": 0.176525093197147,
142
+ "eval_bleu": 0.602648493788286,
143
+ "eval_ce_clean_loss": 0.07902319778575063,
144
+ "eval_ce_pred_loss": 1.258515450491834,
145
+ "eval_flow_mse_loss": 0.3336726897942232,
146
+ "eval_loss": 0.7917237284341092,
147
+ "eval_runtime": 209.9979,
148
+ "eval_samples_per_second": 142.859,
149
+ "eval_steps_per_second": 2.233,
150
+ "flow/cos_sim": 0.8359491508652661,
151
+ "flow/improvement_ratio": 0.9927860422175068,
152
+ "flow/mag_ratio_mean": 0.8206447137952614,
153
+ "flow/mag_ratio_std": 0.15771287044228266,
154
+ "step": 4096
155
+ },
156
+ {
157
+ "epoch": 0.22065636649643372,
158
+ "grad_norm": 1.1233476400375366,
159
+ "learning_rate": 9.182261125213742e-05,
160
+ "loss": 0.7920548319816589,
161
+ "step": 5120
162
+ },
163
+ {
164
+ "epoch": 0.22065636649643372,
165
+ "eval_bleu": 0.6141381527733952,
166
+ "eval_ce_clean_loss": 0.046100005622643395,
167
+ "eval_ce_pred_loss": 1.1288676523704773,
168
+ "eval_flow_mse_loss": 0.31850481783149087,
169
+ "eval_loss": 0.7265807632952611,
170
+ "flow/cos_sim": 0.8455876523751948,
171
+ "flow/improvement_ratio": 0.9943026553339033,
172
+ "flow/mag_ratio_mean": 0.8284942273900453,
173
+ "flow/mag_ratio_std": 0.15012658069700574,
174
+ "step": 5120
175
+ },
176
+ {
177
+ "epoch": 0.22065636649643372,
178
+ "eval_bleu": 0.6141381527733952,
179
+ "eval_ce_clean_loss": 0.046100005622643395,
180
+ "eval_ce_pred_loss": 1.1288676523704773,
181
+ "eval_flow_mse_loss": 0.31850481783149087,
182
+ "eval_loss": 0.7265807632952611,
183
+ "eval_runtime": 209.0531,
184
+ "eval_samples_per_second": 143.504,
185
+ "eval_steps_per_second": 2.243,
186
+ "flow/cos_sim": 0.8455876523751948,
187
+ "flow/improvement_ratio": 0.9943026553339033,
188
+ "flow/mag_ratio_mean": 0.8284942273900453,
189
+ "flow/mag_ratio_std": 0.15012658069700574,
190
+ "step": 5120
191
+ },
192
+ {
193
+ "epoch": 0.26478763979572045,
194
+ "grad_norm": 0.9059746861457825,
195
+ "learning_rate": 8.742300854391668e-05,
196
+ "loss": 0.739564061164856,
197
+ "step": 6144
198
+ },
199
+ {
200
+ "epoch": 0.26478763979572045,
201
+ "eval_bleu": 0.6198216768379229,
202
+ "eval_ce_clean_loss": 0.029896165732778847,
203
+ "eval_ce_pred_loss": 1.0876380618828445,
204
+ "eval_flow_mse_loss": 0.2986504494317813,
205
+ "eval_loss": 0.6804513752079213,
206
+ "flow/cos_sim": 0.8570804311268365,
207
+ "flow/improvement_ratio": 0.9947732735290202,
208
+ "flow/mag_ratio_mean": 0.8387555105091412,
209
+ "flow/mag_ratio_std": 0.1402454181933708,
210
+ "step": 6144
211
+ },
212
+ {
213
+ "epoch": 0.26478763979572045,
214
+ "eval_bleu": 0.6198216768379229,
215
+ "eval_ce_clean_loss": 0.029896165732778847,
216
+ "eval_ce_pred_loss": 1.0876380618828445,
217
+ "eval_flow_mse_loss": 0.2986504494317813,
218
+ "eval_loss": 0.6804513752079213,
219
+ "eval_runtime": 210.2055,
220
+ "eval_samples_per_second": 142.717,
221
+ "eval_steps_per_second": 2.231,
222
+ "flow/cos_sim": 0.8570804311268365,
223
+ "flow/improvement_ratio": 0.9947732735290202,
224
+ "flow/mag_ratio_mean": 0.8387555105091412,
225
+ "flow/mag_ratio_std": 0.1402454181933708,
226
+ "step": 6144
227
+ },
228
+ {
229
+ "epoch": 0.30891891309500724,
230
+ "grad_norm": 1.3166066408157349,
231
+ "learning_rate": 8.223753024725232e-05,
232
+ "loss": 0.695237398147583,
233
+ "step": 7168
234
+ },
235
+ {
236
+ "epoch": 0.30891891309500724,
237
+ "eval_bleu": 0.627917040125629,
238
+ "eval_ce_clean_loss": 0.02094623373785634,
239
+ "eval_ce_pred_loss": 1.033265697549401,
240
+ "eval_flow_mse_loss": 0.2873198388736131,
241
+ "eval_loss": 0.6481060202696176,
242
+ "flow/cos_sim": 0.8640452186181855,
243
+ "flow/improvement_ratio": 0.9950866964834331,
244
+ "flow/mag_ratio_mean": 0.8478114263081094,
245
+ "flow/mag_ratio_std": 0.1337283741214128,
246
+ "step": 7168
247
+ },
248
+ {
249
+ "epoch": 0.30891891309500724,
250
+ "eval_bleu": 0.627917040125629,
251
+ "eval_ce_clean_loss": 0.02094623373785634,
252
+ "eval_ce_pred_loss": 1.033265697549401,
253
+ "eval_flow_mse_loss": 0.2873198388736131,
254
+ "eval_loss": 0.6481060202696176,
255
+ "eval_runtime": 208.5711,
256
+ "eval_samples_per_second": 143.836,
257
+ "eval_steps_per_second": 2.249,
258
+ "flow/cos_sim": 0.8640452186181855,
259
+ "flow/improvement_ratio": 0.9950866964834331,
260
+ "flow/mag_ratio_mean": 0.8478114263081094,
261
+ "flow/mag_ratio_std": 0.1337283741214128,
262
+ "step": 7168
263
+ },
264
+ {
265
+ "epoch": 0.353050186394294,
266
+ "grad_norm": 0.5672258138656616,
267
+ "learning_rate": 7.638108666591397e-05,
268
+ "loss": 0.6690872311592102,
269
+ "step": 8192
270
+ },
271
+ {
272
+ "epoch": 0.353050186394294,
273
+ "eval_bleu": 0.6309746295669453,
274
+ "eval_ce_clean_loss": 0.01552465901986114,
275
+ "eval_ce_pred_loss": 1.0102047525616342,
276
+ "eval_flow_mse_loss": 0.27783878338235274,
277
+ "eval_loss": 0.6265614598925943,
278
+ "flow/cos_sim": 0.8690010274905385,
279
+ "flow/improvement_ratio": 0.9952761089878042,
280
+ "flow/mag_ratio_mean": 0.8550727737229517,
281
+ "flow/mag_ratio_std": 0.1263450812746975,
282
+ "step": 8192
283
+ },
284
+ {
285
+ "epoch": 0.353050186394294,
286
+ "eval_bleu": 0.6309746295669453,
287
+ "eval_ce_clean_loss": 0.01552465901986114,
288
+ "eval_ce_pred_loss": 1.0102047525616342,
289
+ "eval_flow_mse_loss": 0.27783878338235274,
290
+ "eval_loss": 0.6265614598925943,
291
+ "eval_runtime": 207.2091,
292
+ "eval_samples_per_second": 144.781,
293
+ "eval_steps_per_second": 2.263,
294
+ "flow/cos_sim": 0.8690010274905385,
295
+ "flow/improvement_ratio": 0.9952761089878042,
296
+ "flow/mag_ratio_mean": 0.8550727737229517,
297
+ "flow/mag_ratio_std": 0.1263450812746975,
298
+ "step": 8192
299
+ },
300
+ {
301
+ "epoch": 0.3971814596935807,
302
+ "grad_norm": 0.7092581391334534,
303
+ "learning_rate": 6.997172522088177e-05,
304
+ "loss": 0.6498280167579651,
305
+ "step": 9216
306
+ },
307
+ {
308
+ "epoch": 0.3971814596935807,
309
+ "eval_bleu": 0.6373013114426188,
310
+ "eval_ce_clean_loss": 0.012129734029004505,
311
+ "eval_ce_pred_loss": 0.968963607542042,
312
+ "eval_flow_mse_loss": 0.2738534473597622,
313
+ "eval_loss": 0.6106377621449387,
314
+ "flow/cos_sim": 0.8722376071059628,
315
+ "flow/improvement_ratio": 0.995415891411462,
316
+ "flow/mag_ratio_mean": 0.8592144122510068,
317
+ "flow/mag_ratio_std": 0.12714707042807455,
318
+ "step": 9216
319
+ },
320
+ {
321
+ "epoch": 0.3971814596935807,
322
+ "eval_bleu": 0.6373013114426188,
323
+ "eval_ce_clean_loss": 0.012129734029004505,
324
+ "eval_ce_pred_loss": 0.968963607542042,
325
+ "eval_flow_mse_loss": 0.2738534473597622,
326
+ "eval_loss": 0.6106377621449387,
327
+ "eval_runtime": 209.0817,
328
+ "eval_samples_per_second": 143.485,
329
+ "eval_steps_per_second": 2.243,
330
+ "flow/cos_sim": 0.8722376071059628,
331
+ "flow/improvement_ratio": 0.995415891411462,
332
+ "flow/mag_ratio_mean": 0.8592144122510068,
333
+ "flow/mag_ratio_std": 0.12714707042807455,
334
+ "step": 9216
335
+ },
336
+ {
337
+ "epoch": 0.44131273299286744,
338
+ "grad_norm": 0.8420266509056091,
339
+ "learning_rate": 6.31369458152119e-05,
340
+ "loss": 0.6314405202865601,
341
+ "step": 10240
342
+ },
343
+ {
344
+ "epoch": 0.44131273299286744,
345
+ "eval_bleu": 0.6442594676772799,
346
+ "eval_ce_clean_loss": 0.0098183449190944,
347
+ "eval_ce_pred_loss": 0.9553712858701311,
348
+ "eval_flow_mse_loss": 0.2638659175080277,
349
+ "eval_loss": 0.5917823087177805,
350
+ "flow/cos_sim": 0.8785403088720114,
351
+ "flow/improvement_ratio": 0.9960034287560469,
352
+ "flow/mag_ratio_mean": 0.8642366008717877,
353
+ "flow/mag_ratio_std": 0.12432963887193818,
354
+ "step": 10240
355
+ },
356
+ {
357
+ "epoch": 0.44131273299286744,
358
+ "eval_bleu": 0.6442594676772799,
359
+ "eval_ce_clean_loss": 0.0098183449190944,
360
+ "eval_ce_pred_loss": 0.9553712858701311,
361
+ "eval_flow_mse_loss": 0.2638659175080277,
362
+ "eval_loss": 0.5917823087177805,
363
+ "eval_runtime": 209.3334,
364
+ "eval_samples_per_second": 143.312,
365
+ "eval_steps_per_second": 2.24,
366
+ "flow/cos_sim": 0.8785403088720114,
367
+ "flow/improvement_ratio": 0.9960034287560469,
368
+ "flow/mag_ratio_mean": 0.8642366008717877,
369
+ "flow/mag_ratio_std": 0.12432963887193818,
370
+ "step": 10240
371
+ },
372
+ {
373
+ "epoch": 0.4854440062921542,
374
+ "grad_norm": 0.3429703414440155,
375
+ "learning_rate": 5.603332356428589e-05,
376
+ "loss": 0.6177480220794678,
377
+ "step": 11264
378
+ },
379
+ {
380
+ "epoch": 0.4854440062921542,
381
+ "eval_bleu": 0.6459261776602792,
382
+ "eval_ce_clean_loss": 0.008190781515000313,
383
+ "eval_ce_pred_loss": 0.9417594762753322,
384
+ "eval_flow_mse_loss": 0.2546466169263254,
385
+ "eval_loss": 0.574417214912138,
386
+ "flow/cos_sim": 0.8827967003210268,
387
+ "flow/improvement_ratio": 0.9961045048892625,
388
+ "flow/mag_ratio_mean": 0.8684060909092299,
389
+ "flow/mag_ratio_std": 0.12099546292570354,
390
+ "step": 11264
391
+ },
392
+ {
393
+ "epoch": 0.4854440062921542,
394
+ "eval_bleu": 0.6459261776602792,
395
+ "eval_ce_clean_loss": 0.008190781515000313,
396
+ "eval_ce_pred_loss": 0.9417594762753322,
397
+ "eval_flow_mse_loss": 0.2546466169263254,
398
+ "eval_loss": 0.574417214912138,
399
+ "eval_runtime": 206.6984,
400
+ "eval_samples_per_second": 145.139,
401
+ "eval_steps_per_second": 2.269,
402
+ "flow/cos_sim": 0.8827967003210268,
403
+ "flow/improvement_ratio": 0.9961045048892625,
404
+ "flow/mag_ratio_mean": 0.8684060909092299,
405
+ "flow/mag_ratio_std": 0.12099546292570354,
406
+ "step": 11264
407
+ }
408
+ ],
409
+ "logging_steps": 1024,
410
+ "max_steps": 23204,
411
+ "num_input_tokens_seen": 0,
412
+ "num_train_epochs": 1,
413
+ "save_steps": 1024,
414
+ "stateful_callbacks": {
415
+ "TrainerControl": {
416
+ "args": {
417
+ "should_epoch_stop": false,
418
+ "should_evaluate": false,
419
+ "should_log": false,
420
+ "should_save": true,
421
+ "should_training_stop": false
422
+ },
423
+ "attributes": {}
424
+ }
425
+ },
426
+ "total_flos": 0.0,
427
+ "train_batch_size": 64,
428
+ "trial_name": null,
429
+ "trial_params": null
430
+ }
checkpoints-v5.14-b/checkpoint-11264/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8469bbc81a2ba0be2f5b44007faafd15c75615abe30f4f4e56171816d31caa5b
3
+ size 5137