tiagoblima commited on
Commit
e1fb337
1 Parent(s): fb7291d

End of training

Browse files
Files changed (5) hide show
  1. README.md +3 -1
  2. all_results.json +13 -0
  3. eval_results.json +8 -0
  4. train_results.json +8 -0
  5. trainer_state.json +776 -0
README.md CHANGED
@@ -3,6 +3,8 @@ license: mit
3
  base_model: unicamp-dl/ptt5-base-portuguese-vocab
4
  tags:
5
  - generated_from_trainer
 
 
6
  model-index:
7
  - name: t5_base-qg-ap-peft-oficial
8
  results: []
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # t5_base-qg-ap-peft-oficial
15
 
16
- This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
  - Loss: 15.9549
19
 
 
3
  base_model: unicamp-dl/ptt5-base-portuguese-vocab
4
  tags:
5
  - generated_from_trainer
6
+ datasets:
7
+ - tiagoblima/du-qg-squadv1_pt
8
  model-index:
9
  - name: t5_base-qg-ap-peft-oficial
10
  results: []
 
15
 
16
  # t5_base-qg-ap-peft-oficial
17
 
18
+ This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) on the tiagoblima/du-qg-squadv1_pt dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 15.9549
21
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_loss": 15.954925537109375,
4
+ "eval_runtime": 45.9285,
5
+ "eval_samples": 10649,
6
+ "eval_samples_per_second": 231.861,
7
+ "eval_steps_per_second": 3.636,
8
+ "train_loss": 12.99704200992818,
9
+ "train_runtime": 2296.4504,
10
+ "train_samples": 75722,
11
+ "train_samples_per_second": 164.867,
12
+ "train_steps_per_second": 5.154
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_loss": 15.954925537109375,
4
+ "eval_runtime": 45.9285,
5
+ "eval_samples": 10649,
6
+ "eval_samples_per_second": 231.861,
7
+ "eval_steps_per_second": 3.636
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "train_loss": 12.99704200992818,
4
+ "train_runtime": 2296.4504,
5
+ "train_samples": 75722,
6
+ "train_samples_per_second": 164.867,
7
+ "train_steps_per_second": 5.154
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,776 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 15.954925537109375,
3
+ "best_model_checkpoint": "/temp/t5_base-qg-ap-peft-oficial/checkpoint-11835",
4
+ "epoch": 5.0,
5
+ "eval_steps": 500,
6
+ "global_step": 11835,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.04,
13
+ "learning_rate": 9.915504858470639e-05,
14
+ "loss": 13.3972,
15
+ "step": 100
16
+ },
17
+ {
18
+ "epoch": 0.08,
19
+ "learning_rate": 9.831009716941276e-05,
20
+ "loss": 13.4943,
21
+ "step": 200
22
+ },
23
+ {
24
+ "epoch": 0.13,
25
+ "learning_rate": 9.746514575411914e-05,
26
+ "loss": 13.4899,
27
+ "step": 300
28
+ },
29
+ {
30
+ "epoch": 0.17,
31
+ "learning_rate": 9.662019433882552e-05,
32
+ "loss": 13.4784,
33
+ "step": 400
34
+ },
35
+ {
36
+ "epoch": 0.21,
37
+ "learning_rate": 9.57752429235319e-05,
38
+ "loss": 13.3784,
39
+ "step": 500
40
+ },
41
+ {
42
+ "epoch": 0.25,
43
+ "learning_rate": 9.493029150823828e-05,
44
+ "loss": 13.4407,
45
+ "step": 600
46
+ },
47
+ {
48
+ "epoch": 0.3,
49
+ "learning_rate": 9.408534009294467e-05,
50
+ "loss": 13.3161,
51
+ "step": 700
52
+ },
53
+ {
54
+ "epoch": 0.34,
55
+ "learning_rate": 9.324038867765104e-05,
56
+ "loss": 13.3454,
57
+ "step": 800
58
+ },
59
+ {
60
+ "epoch": 0.38,
61
+ "learning_rate": 9.239543726235742e-05,
62
+ "loss": 13.4608,
63
+ "step": 900
64
+ },
65
+ {
66
+ "epoch": 0.42,
67
+ "learning_rate": 9.15504858470638e-05,
68
+ "loss": 13.463,
69
+ "step": 1000
70
+ },
71
+ {
72
+ "epoch": 0.46,
73
+ "learning_rate": 9.070553443177018e-05,
74
+ "loss": 13.2266,
75
+ "step": 1100
76
+ },
77
+ {
78
+ "epoch": 0.51,
79
+ "learning_rate": 8.986058301647655e-05,
80
+ "loss": 13.3557,
81
+ "step": 1200
82
+ },
83
+ {
84
+ "epoch": 0.55,
85
+ "learning_rate": 8.901563160118294e-05,
86
+ "loss": 13.3636,
87
+ "step": 1300
88
+ },
89
+ {
90
+ "epoch": 0.59,
91
+ "learning_rate": 8.817068018588932e-05,
92
+ "loss": 13.3401,
93
+ "step": 1400
94
+ },
95
+ {
96
+ "epoch": 0.63,
97
+ "learning_rate": 8.732572877059569e-05,
98
+ "loss": 13.322,
99
+ "step": 1500
100
+ },
101
+ {
102
+ "epoch": 0.68,
103
+ "learning_rate": 8.648077735530208e-05,
104
+ "loss": 13.2139,
105
+ "step": 1600
106
+ },
107
+ {
108
+ "epoch": 0.72,
109
+ "learning_rate": 8.563582594000845e-05,
110
+ "loss": 13.3005,
111
+ "step": 1700
112
+ },
113
+ {
114
+ "epoch": 0.76,
115
+ "learning_rate": 8.479087452471483e-05,
116
+ "loss": 13.2546,
117
+ "step": 1800
118
+ },
119
+ {
120
+ "epoch": 0.8,
121
+ "learning_rate": 8.394592310942122e-05,
122
+ "loss": 13.3009,
123
+ "step": 1900
124
+ },
125
+ {
126
+ "epoch": 0.84,
127
+ "learning_rate": 8.31009716941276e-05,
128
+ "loss": 13.258,
129
+ "step": 2000
130
+ },
131
+ {
132
+ "epoch": 0.89,
133
+ "learning_rate": 8.225602027883397e-05,
134
+ "loss": 13.2023,
135
+ "step": 2100
136
+ },
137
+ {
138
+ "epoch": 0.93,
139
+ "learning_rate": 8.141106886354036e-05,
140
+ "loss": 13.1969,
141
+ "step": 2200
142
+ },
143
+ {
144
+ "epoch": 0.97,
145
+ "learning_rate": 8.056611744824673e-05,
146
+ "loss": 13.2241,
147
+ "step": 2300
148
+ },
149
+ {
150
+ "epoch": 1.0,
151
+ "eval_loss": 16.45070457458496,
152
+ "eval_runtime": 45.9344,
153
+ "eval_samples_per_second": 231.831,
154
+ "eval_steps_per_second": 3.636,
155
+ "step": 2367
156
+ },
157
+ {
158
+ "epoch": 1.01,
159
+ "learning_rate": 7.972116603295311e-05,
160
+ "loss": 13.1996,
161
+ "step": 2400
162
+ },
163
+ {
164
+ "epoch": 1.06,
165
+ "learning_rate": 7.887621461765948e-05,
166
+ "loss": 13.2605,
167
+ "step": 2500
168
+ },
169
+ {
170
+ "epoch": 1.1,
171
+ "learning_rate": 7.803126320236587e-05,
172
+ "loss": 13.1728,
173
+ "step": 2600
174
+ },
175
+ {
176
+ "epoch": 1.14,
177
+ "learning_rate": 7.718631178707225e-05,
178
+ "loss": 13.2041,
179
+ "step": 2700
180
+ },
181
+ {
182
+ "epoch": 1.18,
183
+ "learning_rate": 7.634136037177862e-05,
184
+ "loss": 13.2159,
185
+ "step": 2800
186
+ },
187
+ {
188
+ "epoch": 1.23,
189
+ "learning_rate": 7.5496408956485e-05,
190
+ "loss": 12.985,
191
+ "step": 2900
192
+ },
193
+ {
194
+ "epoch": 1.27,
195
+ "learning_rate": 7.465145754119138e-05,
196
+ "loss": 13.1547,
197
+ "step": 3000
198
+ },
199
+ {
200
+ "epoch": 1.31,
201
+ "learning_rate": 7.380650612589776e-05,
202
+ "loss": 13.1479,
203
+ "step": 3100
204
+ },
205
+ {
206
+ "epoch": 1.35,
207
+ "learning_rate": 7.296155471060415e-05,
208
+ "loss": 13.0578,
209
+ "step": 3200
210
+ },
211
+ {
212
+ "epoch": 1.39,
213
+ "learning_rate": 7.211660329531053e-05,
214
+ "loss": 13.118,
215
+ "step": 3300
216
+ },
217
+ {
218
+ "epoch": 1.44,
219
+ "learning_rate": 7.12716518800169e-05,
220
+ "loss": 13.2049,
221
+ "step": 3400
222
+ },
223
+ {
224
+ "epoch": 1.48,
225
+ "learning_rate": 7.042670046472329e-05,
226
+ "loss": 13.1814,
227
+ "step": 3500
228
+ },
229
+ {
230
+ "epoch": 1.52,
231
+ "learning_rate": 6.958174904942966e-05,
232
+ "loss": 13.0633,
233
+ "step": 3600
234
+ },
235
+ {
236
+ "epoch": 1.56,
237
+ "learning_rate": 6.873679763413604e-05,
238
+ "loss": 13.0943,
239
+ "step": 3700
240
+ },
241
+ {
242
+ "epoch": 1.61,
243
+ "learning_rate": 6.789184621884243e-05,
244
+ "loss": 13.0715,
245
+ "step": 3800
246
+ },
247
+ {
248
+ "epoch": 1.65,
249
+ "learning_rate": 6.70468948035488e-05,
250
+ "loss": 13.1181,
251
+ "step": 3900
252
+ },
253
+ {
254
+ "epoch": 1.69,
255
+ "learning_rate": 6.620194338825518e-05,
256
+ "loss": 13.06,
257
+ "step": 4000
258
+ },
259
+ {
260
+ "epoch": 1.73,
261
+ "learning_rate": 6.535699197296155e-05,
262
+ "loss": 12.9869,
263
+ "step": 4100
264
+ },
265
+ {
266
+ "epoch": 1.77,
267
+ "learning_rate": 6.451204055766794e-05,
268
+ "loss": 13.0416,
269
+ "step": 4200
270
+ },
271
+ {
272
+ "epoch": 1.82,
273
+ "learning_rate": 6.366708914237431e-05,
274
+ "loss": 12.9364,
275
+ "step": 4300
276
+ },
277
+ {
278
+ "epoch": 1.86,
279
+ "learning_rate": 6.282213772708069e-05,
280
+ "loss": 13.0388,
281
+ "step": 4400
282
+ },
283
+ {
284
+ "epoch": 1.9,
285
+ "learning_rate": 6.197718631178708e-05,
286
+ "loss": 13.0506,
287
+ "step": 4500
288
+ },
289
+ {
290
+ "epoch": 1.94,
291
+ "learning_rate": 6.113223489649346e-05,
292
+ "loss": 13.038,
293
+ "step": 4600
294
+ },
295
+ {
296
+ "epoch": 1.99,
297
+ "learning_rate": 6.028728348119983e-05,
298
+ "loss": 12.9503,
299
+ "step": 4700
300
+ },
301
+ {
302
+ "epoch": 2.0,
303
+ "eval_loss": 16.222393035888672,
304
+ "eval_runtime": 45.9307,
305
+ "eval_samples_per_second": 231.85,
306
+ "eval_steps_per_second": 3.636,
307
+ "step": 4734
308
+ },
309
+ {
310
+ "epoch": 2.03,
311
+ "learning_rate": 5.944233206590622e-05,
312
+ "loss": 12.9782,
313
+ "step": 4800
314
+ },
315
+ {
316
+ "epoch": 2.07,
317
+ "learning_rate": 5.859738065061259e-05,
318
+ "loss": 13.0922,
319
+ "step": 4900
320
+ },
321
+ {
322
+ "epoch": 2.11,
323
+ "learning_rate": 5.775242923531897e-05,
324
+ "loss": 13.0046,
325
+ "step": 5000
326
+ },
327
+ {
328
+ "epoch": 2.15,
329
+ "learning_rate": 5.6907477820025357e-05,
330
+ "loss": 13.0898,
331
+ "step": 5100
332
+ },
333
+ {
334
+ "epoch": 2.2,
335
+ "learning_rate": 5.606252640473173e-05,
336
+ "loss": 12.9381,
337
+ "step": 5200
338
+ },
339
+ {
340
+ "epoch": 2.24,
341
+ "learning_rate": 5.521757498943811e-05,
342
+ "loss": 13.0699,
343
+ "step": 5300
344
+ },
345
+ {
346
+ "epoch": 2.28,
347
+ "learning_rate": 5.437262357414449e-05,
348
+ "loss": 13.0067,
349
+ "step": 5400
350
+ },
351
+ {
352
+ "epoch": 2.32,
353
+ "learning_rate": 5.3527672158850874e-05,
354
+ "loss": 12.9464,
355
+ "step": 5500
356
+ },
357
+ {
358
+ "epoch": 2.37,
359
+ "learning_rate": 5.2682720743557245e-05,
360
+ "loss": 12.9848,
361
+ "step": 5600
362
+ },
363
+ {
364
+ "epoch": 2.41,
365
+ "learning_rate": 5.183776932826363e-05,
366
+ "loss": 12.964,
367
+ "step": 5700
368
+ },
369
+ {
370
+ "epoch": 2.45,
371
+ "learning_rate": 5.099281791297e-05,
372
+ "loss": 12.8373,
373
+ "step": 5800
374
+ },
375
+ {
376
+ "epoch": 2.49,
377
+ "learning_rate": 5.0147866497676385e-05,
378
+ "loss": 12.9866,
379
+ "step": 5900
380
+ },
381
+ {
382
+ "epoch": 2.53,
383
+ "learning_rate": 4.930291508238277e-05,
384
+ "loss": 12.9285,
385
+ "step": 6000
386
+ },
387
+ {
388
+ "epoch": 2.58,
389
+ "learning_rate": 4.845796366708915e-05,
390
+ "loss": 12.9827,
391
+ "step": 6100
392
+ },
393
+ {
394
+ "epoch": 2.62,
395
+ "learning_rate": 4.7613012251795525e-05,
396
+ "loss": 12.8642,
397
+ "step": 6200
398
+ },
399
+ {
400
+ "epoch": 2.66,
401
+ "learning_rate": 4.67680608365019e-05,
402
+ "loss": 12.9191,
403
+ "step": 6300
404
+ },
405
+ {
406
+ "epoch": 2.7,
407
+ "learning_rate": 4.592310942120828e-05,
408
+ "loss": 12.8454,
409
+ "step": 6400
410
+ },
411
+ {
412
+ "epoch": 2.75,
413
+ "learning_rate": 4.507815800591466e-05,
414
+ "loss": 12.9035,
415
+ "step": 6500
416
+ },
417
+ {
418
+ "epoch": 2.79,
419
+ "learning_rate": 4.423320659062104e-05,
420
+ "loss": 12.8971,
421
+ "step": 6600
422
+ },
423
+ {
424
+ "epoch": 2.83,
425
+ "learning_rate": 4.338825517532742e-05,
426
+ "loss": 12.951,
427
+ "step": 6700
428
+ },
429
+ {
430
+ "epoch": 2.87,
431
+ "learning_rate": 4.25433037600338e-05,
432
+ "loss": 12.8744,
433
+ "step": 6800
434
+ },
435
+ {
436
+ "epoch": 2.92,
437
+ "learning_rate": 4.1698352344740176e-05,
438
+ "loss": 12.836,
439
+ "step": 6900
440
+ },
441
+ {
442
+ "epoch": 2.96,
443
+ "learning_rate": 4.085340092944656e-05,
444
+ "loss": 12.8503,
445
+ "step": 7000
446
+ },
447
+ {
448
+ "epoch": 3.0,
449
+ "learning_rate": 4.000844951415294e-05,
450
+ "loss": 12.8425,
451
+ "step": 7100
452
+ },
453
+ {
454
+ "epoch": 3.0,
455
+ "eval_loss": 16.066987991333008,
456
+ "eval_runtime": 45.9868,
457
+ "eval_samples_per_second": 231.566,
458
+ "eval_steps_per_second": 3.631,
459
+ "step": 7101
460
+ },
461
+ {
462
+ "epoch": 3.04,
463
+ "learning_rate": 3.916349809885932e-05,
464
+ "loss": 12.9258,
465
+ "step": 7200
466
+ },
467
+ {
468
+ "epoch": 3.08,
469
+ "learning_rate": 3.83185466835657e-05,
470
+ "loss": 12.862,
471
+ "step": 7300
472
+ },
473
+ {
474
+ "epoch": 3.13,
475
+ "learning_rate": 3.747359526827208e-05,
476
+ "loss": 12.8105,
477
+ "step": 7400
478
+ },
479
+ {
480
+ "epoch": 3.17,
481
+ "learning_rate": 3.6628643852978456e-05,
482
+ "loss": 12.843,
483
+ "step": 7500
484
+ },
485
+ {
486
+ "epoch": 3.21,
487
+ "learning_rate": 3.5783692437684833e-05,
488
+ "loss": 12.8975,
489
+ "step": 7600
490
+ },
491
+ {
492
+ "epoch": 3.25,
493
+ "learning_rate": 3.493874102239121e-05,
494
+ "loss": 12.818,
495
+ "step": 7700
496
+ },
497
+ {
498
+ "epoch": 3.3,
499
+ "learning_rate": 3.4093789607097596e-05,
500
+ "loss": 12.9031,
501
+ "step": 7800
502
+ },
503
+ {
504
+ "epoch": 3.34,
505
+ "learning_rate": 3.324883819180397e-05,
506
+ "loss": 12.7638,
507
+ "step": 7900
508
+ },
509
+ {
510
+ "epoch": 3.38,
511
+ "learning_rate": 3.240388677651035e-05,
512
+ "loss": 12.8167,
513
+ "step": 8000
514
+ },
515
+ {
516
+ "epoch": 3.42,
517
+ "learning_rate": 3.155893536121673e-05,
518
+ "loss": 12.8369,
519
+ "step": 8100
520
+ },
521
+ {
522
+ "epoch": 3.46,
523
+ "learning_rate": 3.0713983945923107e-05,
524
+ "loss": 12.8219,
525
+ "step": 8200
526
+ },
527
+ {
528
+ "epoch": 3.51,
529
+ "learning_rate": 2.986903253062949e-05,
530
+ "loss": 12.7935,
531
+ "step": 8300
532
+ },
533
+ {
534
+ "epoch": 3.55,
535
+ "learning_rate": 2.9024081115335872e-05,
536
+ "loss": 12.8677,
537
+ "step": 8400
538
+ },
539
+ {
540
+ "epoch": 3.59,
541
+ "learning_rate": 2.817912970004225e-05,
542
+ "loss": 12.8363,
543
+ "step": 8500
544
+ },
545
+ {
546
+ "epoch": 3.63,
547
+ "learning_rate": 2.733417828474863e-05,
548
+ "loss": 12.7089,
549
+ "step": 8600
550
+ },
551
+ {
552
+ "epoch": 3.68,
553
+ "learning_rate": 2.648922686945501e-05,
554
+ "loss": 12.8173,
555
+ "step": 8700
556
+ },
557
+ {
558
+ "epoch": 3.72,
559
+ "learning_rate": 2.5644275454161386e-05,
560
+ "loss": 12.7397,
561
+ "step": 8800
562
+ },
563
+ {
564
+ "epoch": 3.76,
565
+ "learning_rate": 2.4799324038867768e-05,
566
+ "loss": 12.9604,
567
+ "step": 8900
568
+ },
569
+ {
570
+ "epoch": 3.8,
571
+ "learning_rate": 2.3954372623574145e-05,
572
+ "loss": 12.7781,
573
+ "step": 9000
574
+ },
575
+ {
576
+ "epoch": 3.84,
577
+ "learning_rate": 2.3109421208280523e-05,
578
+ "loss": 12.7963,
579
+ "step": 9100
580
+ },
581
+ {
582
+ "epoch": 3.89,
583
+ "learning_rate": 2.2264469792986904e-05,
584
+ "loss": 12.7756,
585
+ "step": 9200
586
+ },
587
+ {
588
+ "epoch": 3.93,
589
+ "learning_rate": 2.1419518377693285e-05,
590
+ "loss": 12.8499,
591
+ "step": 9300
592
+ },
593
+ {
594
+ "epoch": 3.97,
595
+ "learning_rate": 2.0574566962399663e-05,
596
+ "loss": 12.8058,
597
+ "step": 9400
598
+ },
599
+ {
600
+ "epoch": 4.0,
601
+ "eval_loss": 15.979225158691406,
602
+ "eval_runtime": 45.9733,
603
+ "eval_samples_per_second": 231.634,
604
+ "eval_steps_per_second": 3.633,
605
+ "step": 9468
606
+ },
607
+ {
608
+ "epoch": 4.01,
609
+ "learning_rate": 1.9729615547106044e-05,
610
+ "loss": 12.8676,
611
+ "step": 9500
612
+ },
613
+ {
614
+ "epoch": 4.06,
615
+ "learning_rate": 1.8884664131812422e-05,
616
+ "loss": 12.7464,
617
+ "step": 9600
618
+ },
619
+ {
620
+ "epoch": 4.1,
621
+ "learning_rate": 1.80397127165188e-05,
622
+ "loss": 12.8556,
623
+ "step": 9700
624
+ },
625
+ {
626
+ "epoch": 4.14,
627
+ "learning_rate": 1.719476130122518e-05,
628
+ "loss": 12.8847,
629
+ "step": 9800
630
+ },
631
+ {
632
+ "epoch": 4.18,
633
+ "learning_rate": 1.634980988593156e-05,
634
+ "loss": 12.8739,
635
+ "step": 9900
636
+ },
637
+ {
638
+ "epoch": 4.22,
639
+ "learning_rate": 1.550485847063794e-05,
640
+ "loss": 12.7834,
641
+ "step": 10000
642
+ },
643
+ {
644
+ "epoch": 4.27,
645
+ "learning_rate": 1.4659907055344319e-05,
646
+ "loss": 12.7154,
647
+ "step": 10100
648
+ },
649
+ {
650
+ "epoch": 4.31,
651
+ "learning_rate": 1.3814955640050698e-05,
652
+ "loss": 12.7309,
653
+ "step": 10200
654
+ },
655
+ {
656
+ "epoch": 4.35,
657
+ "learning_rate": 1.2970004224757076e-05,
658
+ "loss": 12.7922,
659
+ "step": 10300
660
+ },
661
+ {
662
+ "epoch": 4.39,
663
+ "learning_rate": 1.2125052809463457e-05,
664
+ "loss": 12.8119,
665
+ "step": 10400
666
+ },
667
+ {
668
+ "epoch": 4.44,
669
+ "learning_rate": 1.1280101394169835e-05,
670
+ "loss": 12.7969,
671
+ "step": 10500
672
+ },
673
+ {
674
+ "epoch": 4.48,
675
+ "learning_rate": 1.0435149978876214e-05,
676
+ "loss": 12.806,
677
+ "step": 10600
678
+ },
679
+ {
680
+ "epoch": 4.52,
681
+ "learning_rate": 9.590198563582595e-06,
682
+ "loss": 12.8642,
683
+ "step": 10700
684
+ },
685
+ {
686
+ "epoch": 4.56,
687
+ "learning_rate": 8.745247148288973e-06,
688
+ "loss": 12.8143,
689
+ "step": 10800
690
+ },
691
+ {
692
+ "epoch": 4.6,
693
+ "learning_rate": 7.900295732995352e-06,
694
+ "loss": 12.8077,
695
+ "step": 10900
696
+ },
697
+ {
698
+ "epoch": 4.65,
699
+ "learning_rate": 7.055344317701733e-06,
700
+ "loss": 12.7352,
701
+ "step": 11000
702
+ },
703
+ {
704
+ "epoch": 4.69,
705
+ "learning_rate": 6.210392902408112e-06,
706
+ "loss": 12.7256,
707
+ "step": 11100
708
+ },
709
+ {
710
+ "epoch": 4.73,
711
+ "learning_rate": 5.3654414871144915e-06,
712
+ "loss": 12.6624,
713
+ "step": 11200
714
+ },
715
+ {
716
+ "epoch": 4.77,
717
+ "learning_rate": 4.52049007182087e-06,
718
+ "loss": 12.729,
719
+ "step": 11300
720
+ },
721
+ {
722
+ "epoch": 4.82,
723
+ "learning_rate": 3.67553865652725e-06,
724
+ "loss": 12.8543,
725
+ "step": 11400
726
+ },
727
+ {
728
+ "epoch": 4.86,
729
+ "learning_rate": 2.830587241233629e-06,
730
+ "loss": 12.8266,
731
+ "step": 11500
732
+ },
733
+ {
734
+ "epoch": 4.9,
735
+ "learning_rate": 1.9856358259400087e-06,
736
+ "loss": 12.7529,
737
+ "step": 11600
738
+ },
739
+ {
740
+ "epoch": 4.94,
741
+ "learning_rate": 1.140684410646388e-06,
742
+ "loss": 12.7374,
743
+ "step": 11700
744
+ },
745
+ {
746
+ "epoch": 4.99,
747
+ "learning_rate": 2.957329953527672e-07,
748
+ "loss": 12.7937,
749
+ "step": 11800
750
+ },
751
+ {
752
+ "epoch": 5.0,
753
+ "eval_loss": 15.954925537109375,
754
+ "eval_runtime": 45.9266,
755
+ "eval_samples_per_second": 231.87,
756
+ "eval_steps_per_second": 3.636,
757
+ "step": 11835
758
+ },
759
+ {
760
+ "epoch": 5.0,
761
+ "step": 11835,
762
+ "total_flos": 2.602850087337984e+17,
763
+ "train_loss": 12.99704200992818,
764
+ "train_runtime": 2296.4504,
765
+ "train_samples_per_second": 164.867,
766
+ "train_steps_per_second": 5.154
767
+ }
768
+ ],
769
+ "logging_steps": 100,
770
+ "max_steps": 11835,
771
+ "num_train_epochs": 5,
772
+ "save_steps": 500,
773
+ "total_flos": 2.602850087337984e+17,
774
+ "trial_name": null,
775
+ "trial_params": null
776
+ }