pszemraj commited on
Commit
4b27f62
1 Parent(s): e0b8729

adding model files

Browse files
Files changed (6) hide show
  1. .gitignore +1 -0
  2. README.md +61 -0
  3. config.json +29 -0
  4. pytorch_model.bin +3 -0
  5. trainer_state.json +675 -0
  6. training_args.bin +3 -0
.gitignore ADDED
@@ -0,0 +1 @@
 
 
1
+ checkpoint-*/
README.md ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: other
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: opt-125m-emailgen-v2_DS-aeslc_Ep-4_Bs-8
7
+ results: []
8
+ ---
9
+
10
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
+ should probably proofread and complete it, then remove this comment. -->
12
+
13
+ # opt-125m-emailgen-v2_DS-aeslc_Ep-4_Bs-8
14
+
15
+ This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
16
+ It achieves the following results on the evaluation set:
17
+ - Loss: 2.5552
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - learning_rate: 0.0004
37
+ - train_batch_size: 8
38
+ - eval_batch_size: 8
39
+ - seed: 42
40
+ - distributed_type: multi-GPU
41
+ - gradient_accumulation_steps: 16
42
+ - total_train_batch_size: 128
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: cosine
45
+ - num_epochs: 4
46
+
47
+ ### Training results
48
+
49
+ | Training Loss | Epoch | Step | Validation Loss |
50
+ |:-------------:|:-----:|:----:|:---------------:|
51
+ | 2.8245 | 1.0 | 129 | 2.8030 |
52
+ | 2.521 | 2.0 | 258 | 2.6343 |
53
+ | 2.2074 | 3.0 | 387 | 2.5595 |
54
+ | 2.0145 | 4.0 | 516 | 2.5552 |
55
+
56
+
57
+ ### Framework versions
58
+
59
+ - Transformers 4.20.1
60
+ - Pytorch 1.11.0+cu113
61
+ - Tokenizers 0.12.1
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/opt-125m",
3
+ "_remove_final_layer_norm": false,
4
+ "activation_dropout": 0.0,
5
+ "activation_function": "relu",
6
+ "architectures": [
7
+ "OPTForCausalLM"
8
+ ],
9
+ "attention_dropout": 0.0,
10
+ "bos_token_id": 2,
11
+ "do_layer_norm_before": true,
12
+ "dropout": 0.1,
13
+ "eos_token_id": 2,
14
+ "ffn_dim": 3072,
15
+ "hidden_size": 768,
16
+ "init_std": 0.02,
17
+ "layerdrop": 0.0,
18
+ "max_position_embeddings": 2048,
19
+ "model_type": "opt",
20
+ "num_attention_heads": 12,
21
+ "num_hidden_layers": 12,
22
+ "pad_token_id": 1,
23
+ "prefix": "</s>",
24
+ "torch_dtype": "float32",
25
+ "transformers_version": "4.20.1",
26
+ "use_cache": false,
27
+ "vocab_size": 50265,
28
+ "word_embed_proj_dim": 768
29
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5191c336ff36350e9a9dd18e527cf0501eb591c8e0753d5aeef039d9a3c24bca
3
+ size 500962539
trainer_state.json ADDED
@@ -0,0 +1,675 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.99758337361044,
5
+ "global_step": 516,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.04,
12
+ "learning_rate": 0.0003999073369028083,
13
+ "loss": 4.4497,
14
+ "step": 5
15
+ },
16
+ {
17
+ "epoch": 0.08,
18
+ "learning_rate": 0.00039962943347572903,
19
+ "loss": 3.7433,
20
+ "step": 10
21
+ },
22
+ {
23
+ "epoch": 0.12,
24
+ "learning_rate": 0.00039916654723268495,
25
+ "loss": 3.4124,
26
+ "step": 15
27
+ },
28
+ {
29
+ "epoch": 0.15,
30
+ "learning_rate": 0.0003985191070984053,
31
+ "loss": 3.3596,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 0.19,
36
+ "learning_rate": 0.000397687713010971,
37
+ "loss": 3.2361,
38
+ "step": 25
39
+ },
40
+ {
41
+ "epoch": 0.23,
42
+ "learning_rate": 0.00039667313536589325,
43
+ "loss": 3.2741,
44
+ "step": 30
45
+ },
46
+ {
47
+ "epoch": 0.27,
48
+ "learning_rate": 0.0003954763143022415,
49
+ "loss": 3.1754,
50
+ "step": 35
51
+ },
52
+ {
53
+ "epoch": 0.31,
54
+ "learning_rate": 0.00039409835883148103,
55
+ "loss": 3.1644,
56
+ "step": 40
57
+ },
58
+ {
59
+ "epoch": 0.35,
60
+ "learning_rate": 0.00039254054580982917,
61
+ "loss": 3.158,
62
+ "step": 45
63
+ },
64
+ {
65
+ "epoch": 0.39,
66
+ "learning_rate": 0.00039080431875508013,
67
+ "loss": 3.1109,
68
+ "step": 50
69
+ },
70
+ {
71
+ "epoch": 0.43,
72
+ "learning_rate": 0.00038889128650899707,
73
+ "loss": 3.1248,
74
+ "step": 55
75
+ },
76
+ {
77
+ "epoch": 0.46,
78
+ "learning_rate": 0.0003868032217465096,
79
+ "loss": 3.01,
80
+ "step": 60
81
+ },
82
+ {
83
+ "epoch": 0.5,
84
+ "learning_rate": 0.00038454205933309793,
85
+ "loss": 3.1002,
86
+ "step": 65
87
+ },
88
+ {
89
+ "epoch": 0.54,
90
+ "learning_rate": 0.0003821098945318869,
91
+ "loss": 3.001,
92
+ "step": 70
93
+ },
94
+ {
95
+ "epoch": 0.58,
96
+ "learning_rate": 0.0003795089810621101,
97
+ "loss": 3.0187,
98
+ "step": 75
99
+ },
100
+ {
101
+ "epoch": 0.62,
102
+ "learning_rate": 0.00037674172901074385,
103
+ "loss": 2.9759,
104
+ "step": 80
105
+ },
106
+ {
107
+ "epoch": 0.66,
108
+ "learning_rate": 0.0003738107025992461,
109
+ "loss": 2.8984,
110
+ "step": 85
111
+ },
112
+ {
113
+ "epoch": 0.7,
114
+ "learning_rate": 0.0003707186178074693,
115
+ "loss": 2.9715,
116
+ "step": 90
117
+ },
118
+ {
119
+ "epoch": 0.73,
120
+ "learning_rate": 0.0003674683398569492,
121
+ "loss": 3.0181,
122
+ "step": 95
123
+ },
124
+ {
125
+ "epoch": 0.77,
126
+ "learning_rate": 0.0003640628805559022,
127
+ "loss": 3.0082,
128
+ "step": 100
129
+ },
130
+ {
131
+ "epoch": 0.81,
132
+ "learning_rate": 0.00036050539550839015,
133
+ "loss": 2.9286,
134
+ "step": 105
135
+ },
136
+ {
137
+ "epoch": 0.85,
138
+ "learning_rate": 0.0003567991811902403,
139
+ "loss": 2.9238,
140
+ "step": 110
141
+ },
142
+ {
143
+ "epoch": 0.89,
144
+ "learning_rate": 0.0003529476718944283,
145
+ "loss": 2.9692,
146
+ "step": 115
147
+ },
148
+ {
149
+ "epoch": 0.93,
150
+ "learning_rate": 0.0003489544365487564,
151
+ "loss": 2.9091,
152
+ "step": 120
153
+ },
154
+ {
155
+ "epoch": 0.97,
156
+ "learning_rate": 0.000344823175408774,
157
+ "loss": 2.8245,
158
+ "step": 125
159
+ },
160
+ {
161
+ "epoch": 1.0,
162
+ "eval_loss": 2.8029613494873047,
163
+ "eval_runtime": 57.7962,
164
+ "eval_samples_per_second": 33.013,
165
+ "eval_steps_per_second": 4.135,
166
+ "step": 129
167
+ },
168
+ {
169
+ "epoch": 1.01,
170
+ "learning_rate": 0.00034055771662900637,
171
+ "loss": 3.0457,
172
+ "step": 130
173
+ },
174
+ {
175
+ "epoch": 1.05,
176
+ "learning_rate": 0.00033616201271566845,
177
+ "loss": 2.5236,
178
+ "step": 135
179
+ },
180
+ {
181
+ "epoch": 1.09,
182
+ "learning_rate": 0.0003316401368641496,
183
+ "loss": 2.6179,
184
+ "step": 140
185
+ },
186
+ {
187
+ "epoch": 1.12,
188
+ "learning_rate": 0.0003269962791846651,
189
+ "loss": 2.5468,
190
+ "step": 145
191
+ },
192
+ {
193
+ "epoch": 1.16,
194
+ "learning_rate": 0.00032223474281956987,
195
+ "loss": 2.6191,
196
+ "step": 150
197
+ },
198
+ {
199
+ "epoch": 1.2,
200
+ "learning_rate": 0.0003173599399559337,
201
+ "loss": 2.639,
202
+ "step": 155
203
+ },
204
+ {
205
+ "epoch": 1.24,
206
+ "learning_rate": 0.0003123763877370721,
207
+ "loss": 2.6327,
208
+ "step": 160
209
+ },
210
+ {
211
+ "epoch": 1.28,
212
+ "learning_rate": 0.00030728870407682117,
213
+ "loss": 2.6121,
214
+ "step": 165
215
+ },
216
+ {
217
+ "epoch": 1.32,
218
+ "learning_rate": 0.0003021016033804358,
219
+ "loss": 2.465,
220
+ "step": 170
221
+ },
222
+ {
223
+ "epoch": 1.36,
224
+ "learning_rate": 0.0002968198921760758,
225
+ "loss": 2.619,
226
+ "step": 175
227
+ },
228
+ {
229
+ "epoch": 1.39,
230
+ "learning_rate": 0.0002914484646609277,
231
+ "loss": 2.5499,
232
+ "step": 180
233
+ },
234
+ {
235
+ "epoch": 1.43,
236
+ "learning_rate": 0.0002859922981660906,
237
+ "loss": 2.5248,
238
+ "step": 185
239
+ },
240
+ {
241
+ "epoch": 1.47,
242
+ "learning_rate": 0.0002804564485444265,
243
+ "loss": 2.6074,
244
+ "step": 190
245
+ },
246
+ {
247
+ "epoch": 1.51,
248
+ "learning_rate": 0.00027484604548565065,
249
+ "loss": 2.5412,
250
+ "step": 195
251
+ },
252
+ {
253
+ "epoch": 1.55,
254
+ "learning_rate": 0.0002691662877630023,
255
+ "loss": 2.5677,
256
+ "step": 200
257
+ },
258
+ {
259
+ "epoch": 1.59,
260
+ "learning_rate": 0.0002634224384159003,
261
+ "loss": 2.5344,
262
+ "step": 205
263
+ },
264
+ {
265
+ "epoch": 1.63,
266
+ "learning_rate": 0.00025761981987304755,
267
+ "loss": 2.5655,
268
+ "step": 210
269
+ },
270
+ {
271
+ "epoch": 1.67,
272
+ "learning_rate": 0.00025176380902050413,
273
+ "loss": 2.5598,
274
+ "step": 215
275
+ },
276
+ {
277
+ "epoch": 1.7,
278
+ "learning_rate": 0.00024585983221929805,
279
+ "loss": 2.5926,
280
+ "step": 220
281
+ },
282
+ {
283
+ "epoch": 1.74,
284
+ "learning_rate": 0.00023991336027719059,
285
+ "loss": 2.4798,
286
+ "step": 225
287
+ },
288
+ {
289
+ "epoch": 1.78,
290
+ "learning_rate": 0.00023392990337925694,
291
+ "loss": 2.4976,
292
+ "step": 230
293
+ },
294
+ {
295
+ "epoch": 1.82,
296
+ "learning_rate": 0.000227915005981978,
297
+ "loss": 2.5969,
298
+ "step": 235
299
+ },
300
+ {
301
+ "epoch": 1.86,
302
+ "learning_rate": 0.00022187424167557492,
303
+ "loss": 2.5677,
304
+ "step": 240
305
+ },
306
+ {
307
+ "epoch": 1.9,
308
+ "learning_rate": 0.000215813208019348,
309
+ "loss": 2.6221,
310
+ "step": 245
311
+ },
312
+ {
313
+ "epoch": 1.94,
314
+ "learning_rate": 0.00020973752135480505,
315
+ "loss": 2.5241,
316
+ "step": 250
317
+ },
318
+ {
319
+ "epoch": 1.97,
320
+ "learning_rate": 0.000203652811601385,
321
+ "loss": 2.521,
322
+ "step": 255
323
+ },
324
+ {
325
+ "epoch": 2.0,
326
+ "eval_loss": 2.634265899658203,
327
+ "eval_runtime": 57.8082,
328
+ "eval_samples_per_second": 33.006,
329
+ "eval_steps_per_second": 4.134,
330
+ "step": 258
331
+ },
332
+ {
333
+ "epoch": 2.02,
334
+ "learning_rate": 0.0001975647170396005,
335
+ "loss": 2.5802,
336
+ "step": 260
337
+ },
338
+ {
339
+ "epoch": 2.05,
340
+ "learning_rate": 0.00019147887908643253,
341
+ "loss": 2.2447,
342
+ "step": 265
343
+ },
344
+ {
345
+ "epoch": 2.09,
346
+ "learning_rate": 0.0001854009370678185,
347
+ "loss": 2.2409,
348
+ "step": 270
349
+ },
350
+ {
351
+ "epoch": 2.13,
352
+ "learning_rate": 0.00017933652299307847,
353
+ "loss": 2.2383,
354
+ "step": 275
355
+ },
356
+ {
357
+ "epoch": 2.17,
358
+ "learning_rate": 0.00017329125633612044,
359
+ "loss": 2.2028,
360
+ "step": 280
361
+ },
362
+ {
363
+ "epoch": 2.21,
364
+ "learning_rate": 0.00016727073882826242,
365
+ "loss": 2.1655,
366
+ "step": 285
367
+ },
368
+ {
369
+ "epoch": 2.25,
370
+ "learning_rate": 0.00016128054926749404,
371
+ "loss": 2.2198,
372
+ "step": 290
373
+ },
374
+ {
375
+ "epoch": 2.29,
376
+ "learning_rate": 0.00015532623834899002,
377
+ "loss": 2.2186,
378
+ "step": 295
379
+ },
380
+ {
381
+ "epoch": 2.32,
382
+ "learning_rate": 0.00014941332352166385,
383
+ "loss": 2.2225,
384
+ "step": 300
385
+ },
386
+ {
387
+ "epoch": 2.36,
388
+ "learning_rate": 0.00014354728387552882,
389
+ "loss": 2.2135,
390
+ "step": 305
391
+ },
392
+ {
393
+ "epoch": 2.4,
394
+ "learning_rate": 0.00013773355506460367,
395
+ "loss": 2.1537,
396
+ "step": 310
397
+ },
398
+ {
399
+ "epoch": 2.44,
400
+ "learning_rate": 0.00013197752427006679,
401
+ "loss": 2.2074,
402
+ "step": 315
403
+ },
404
+ {
405
+ "epoch": 2.48,
406
+ "learning_rate": 0.00012628452520832765,
407
+ "loss": 2.1916,
408
+ "step": 320
409
+ },
410
+ {
411
+ "epoch": 2.52,
412
+ "learning_rate": 0.00012065983318864011,
413
+ "loss": 2.2548,
414
+ "step": 325
415
+ },
416
+ {
417
+ "epoch": 2.56,
418
+ "learning_rate": 0.00011510866022483702,
419
+ "loss": 2.2211,
420
+ "step": 330
421
+ },
422
+ {
423
+ "epoch": 2.6,
424
+ "learning_rate": 0.00010963615020571705,
425
+ "loss": 2.1348,
426
+ "step": 335
427
+ },
428
+ {
429
+ "epoch": 2.63,
430
+ "learning_rate": 0.00010424737412855825,
431
+ "loss": 2.2425,
432
+ "step": 340
433
+ },
434
+ {
435
+ "epoch": 2.67,
436
+ "learning_rate": 9.894732540017415e-05,
437
+ "loss": 2.207,
438
+ "step": 345
439
+ },
440
+ {
441
+ "epoch": 2.71,
442
+ "learning_rate": 9.374091520986936e-05,
443
+ "loss": 2.1436,
444
+ "step": 350
445
+ },
446
+ {
447
+ "epoch": 2.75,
448
+ "learning_rate": 8.863296797857865e-05,
449
+ "loss": 2.1318,
450
+ "step": 355
451
+ },
452
+ {
453
+ "epoch": 2.79,
454
+ "learning_rate": 8.362821688840947e-05,
455
+ "loss": 2.193,
456
+ "step": 360
457
+ },
458
+ {
459
+ "epoch": 2.83,
460
+ "learning_rate": 7.873129949672862e-05,
461
+ "loss": 2.1751,
462
+ "step": 365
463
+ },
464
+ {
465
+ "epoch": 2.87,
466
+ "learning_rate": 7.394675343885826e-05,
467
+ "loss": 2.2015,
468
+ "step": 370
469
+ },
470
+ {
471
+ "epoch": 2.9,
472
+ "learning_rate": 6.927901222336221e-05,
473
+ "loss": 2.1469,
474
+ "step": 375
475
+ },
476
+ {
477
+ "epoch": 2.94,
478
+ "learning_rate": 6.473240112381944e-05,
479
+ "loss": 2.1919,
480
+ "step": 380
481
+ },
482
+ {
483
+ "epoch": 2.98,
484
+ "learning_rate": 6.0311133170892234e-05,
485
+ "loss": 2.2074,
486
+ "step": 385
487
+ },
488
+ {
489
+ "epoch": 3.0,
490
+ "eval_loss": 2.5594911575317383,
491
+ "eval_runtime": 57.8697,
492
+ "eval_samples_per_second": 32.971,
493
+ "eval_steps_per_second": 4.13,
494
+ "step": 387
495
+ },
496
+ {
497
+ "epoch": 3.02,
498
+ "learning_rate": 5.601930524840086e-05,
499
+ "loss": 2.1884,
500
+ "step": 390
501
+ },
502
+ {
503
+ "epoch": 3.06,
504
+ "learning_rate": 5.186089429702436e-05,
505
+ "loss": 2.0386,
506
+ "step": 395
507
+ },
508
+ {
509
+ "epoch": 3.1,
510
+ "learning_rate": 4.783975362914439e-05,
511
+ "loss": 2.0487,
512
+ "step": 400
513
+ },
514
+ {
515
+ "epoch": 3.14,
516
+ "learning_rate": 4.395960935824621e-05,
517
+ "loss": 1.8492,
518
+ "step": 405
519
+ },
520
+ {
521
+ "epoch": 3.18,
522
+ "learning_rate": 4.022405694618658e-05,
523
+ "loss": 2.0609,
524
+ "step": 410
525
+ },
526
+ {
527
+ "epoch": 3.22,
528
+ "learning_rate": 3.663655787152791e-05,
529
+ "loss": 1.9626,
530
+ "step": 415
531
+ },
532
+ {
533
+ "epoch": 3.26,
534
+ "learning_rate": 3.320043642202444e-05,
535
+ "loss": 1.9572,
536
+ "step": 420
537
+ },
538
+ {
539
+ "epoch": 3.29,
540
+ "learning_rate": 2.9918876614234493e-05,
541
+ "loss": 1.9518,
542
+ "step": 425
543
+ },
544
+ {
545
+ "epoch": 3.33,
546
+ "learning_rate": 2.679491924311226e-05,
547
+ "loss": 2.0956,
548
+ "step": 430
549
+ },
550
+ {
551
+ "epoch": 3.37,
552
+ "learning_rate": 2.3831459064312743e-05,
553
+ "loss": 1.997,
554
+ "step": 435
555
+ },
556
+ {
557
+ "epoch": 3.41,
558
+ "learning_rate": 2.1031242111821635e-05,
559
+ "loss": 1.965,
560
+ "step": 440
561
+ },
562
+ {
563
+ "epoch": 3.45,
564
+ "learning_rate": 1.8396863153395216e-05,
565
+ "loss": 2.0042,
566
+ "step": 445
567
+ },
568
+ {
569
+ "epoch": 3.49,
570
+ "learning_rate": 1.593076328616814e-05,
571
+ "loss": 2.009,
572
+ "step": 450
573
+ },
574
+ {
575
+ "epoch": 3.53,
576
+ "learning_rate": 1.3635227674657147e-05,
577
+ "loss": 1.9708,
578
+ "step": 455
579
+ },
580
+ {
581
+ "epoch": 3.56,
582
+ "learning_rate": 1.1512383433257112e-05,
583
+ "loss": 1.9904,
584
+ "step": 460
585
+ },
586
+ {
587
+ "epoch": 3.6,
588
+ "learning_rate": 9.564197655190609e-06,
589
+ "loss": 1.9272,
590
+ "step": 465
591
+ },
592
+ {
593
+ "epoch": 3.64,
594
+ "learning_rate": 7.792475589738679e-06,
595
+ "loss": 1.9683,
596
+ "step": 470
597
+ },
598
+ {
599
+ "epoch": 3.68,
600
+ "learning_rate": 6.198858969440747e-06,
601
+ "loss": 1.9925,
602
+ "step": 475
603
+ },
604
+ {
605
+ "epoch": 3.72,
606
+ "learning_rate": 4.784824488814588e-06,
607
+ "loss": 1.969,
608
+ "step": 480
609
+ },
610
+ {
611
+ "epoch": 3.76,
612
+ "learning_rate": 3.5516824360052546e-06,
613
+ "loss": 1.9914,
614
+ "step": 485
615
+ },
616
+ {
617
+ "epoch": 3.8,
618
+ "learning_rate": 2.500575478631717e-06,
619
+ "loss": 1.867,
620
+ "step": 490
621
+ },
622
+ {
623
+ "epoch": 3.84,
624
+ "learning_rate": 1.6324776049554401e-06,
625
+ "loss": 2.0106,
626
+ "step": 495
627
+ },
628
+ {
629
+ "epoch": 3.87,
630
+ "learning_rate": 9.481932213528443e-07,
631
+ "loss": 1.9669,
632
+ "step": 500
633
+ },
634
+ {
635
+ "epoch": 3.91,
636
+ "learning_rate": 4.483564069273527e-07,
637
+ "loss": 1.9383,
638
+ "step": 505
639
+ },
640
+ {
641
+ "epoch": 3.95,
642
+ "learning_rate": 1.334303259521219e-07,
643
+ "loss": 1.9087,
644
+ "step": 510
645
+ },
646
+ {
647
+ "epoch": 3.99,
648
+ "learning_rate": 3.7067986876637704e-09,
649
+ "loss": 2.0145,
650
+ "step": 515
651
+ },
652
+ {
653
+ "epoch": 4.0,
654
+ "eval_loss": 2.555163860321045,
655
+ "eval_runtime": 57.8174,
656
+ "eval_samples_per_second": 33.0,
657
+ "eval_steps_per_second": 4.134,
658
+ "step": 516
659
+ },
660
+ {
661
+ "epoch": 4.0,
662
+ "step": 516,
663
+ "total_flos": 3.457207135056691e+16,
664
+ "train_loss": 2.476019163464391,
665
+ "train_runtime": 8176.7734,
666
+ "train_samples_per_second": 8.095,
667
+ "train_steps_per_second": 0.063
668
+ }
669
+ ],
670
+ "max_steps": 516,
671
+ "num_train_epochs": 4,
672
+ "total_flos": 3.457207135056691e+16,
673
+ "trial_name": null,
674
+ "trial_params": null
675
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:21fbbbf04ae745232f6880bd08d7f6a6b9f98649b60fa6c36ca6e3e2e060daf2
3
+ size 4335