tyzhu commited on
Commit
64f4274
1 Parent(s): cdf60b7

Training in progress, epoch 15, checkpoint

Browse files
checkpoint-3750/adapter_config.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "auto_mapping": null,
3
- "base_model_name_or_path": "Qwen/Qwen1.5-4B",
4
  "bias": "none",
5
  "fan_in_fan_out": false,
6
  "inference_mode": true,
 
1
  {
2
  "auto_mapping": null,
3
+ "base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
4
  "bias": "none",
5
  "fan_in_fan_out": false,
6
  "inference_mode": true,
checkpoint-3750/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdf0a411a257e0b2f846bf5f56e4e73bbd0eb4a65051f733414aa15b4563df18
3
+ size 143269386
checkpoint-3750/added_tokens.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "<|endoftext|>": 151643,
3
- "<|im_end|>": 151645,
4
- "<|im_start|>": 151644
5
  }
 
1
  {
2
+ "</s>": 2,
3
+ "<s>": 1,
4
+ "<unk>": 0
5
  }
checkpoint-3750/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9f1d94337914380ea8a8b412c1aaad06532a403875a263375e79e5b7b8596ae0
3
- size 224537202
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:19c1ccf3d42a3c44c9a1e0de3fe92b2d7a72178c9b3434340b9782c779d235b8
3
+ size 286585234
checkpoint-3750/rng_state_0.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e41e624fa5d88fcf787a83619b12b1ae9a382534077e5519dfd6ce0651fdc87b
3
  size 15024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ffe893de1140f8494c088e70adf51a7142053bcf7ff16e8b0c50a4e94ea5d0c
3
  size 15024
checkpoint-3750/rng_state_1.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:724e075b7804a840ce22298aafc11e8dd739f328aee4d6d70dd8005c0e864ee9
3
  size 15024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:80d6547cfd52c1f6cb7d53e3f298f1e9a6b88ab451eea2b0e608ed787d8a1df4
3
  size 15024
checkpoint-3750/rng_state_2.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a307f07f27772404210c772b4d46894359404129597726d60005bedffebf692b
3
  size 15024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f7c0041073a76b605da456051e24d129d970a2671dc00a4d203fa80501ccdd8b
3
  size 15024
checkpoint-3750/rng_state_3.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2e3f915c695c1e3b77233510f2a7dc1f61746ed2613eb07eef97588b3b775092
3
  size 15024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:32b948d89e5503a0126e0bd05a216f47ba2badc9274c697ced608ff74d6aaf5c
3
  size 15024
checkpoint-3750/special_tokens_map.json CHANGED
@@ -1,14 +1,6 @@
1
  {
2
- "additional_special_tokens": [
3
- "<|im_start|>",
4
- "<|im_end|>"
5
- ],
6
- "eos_token": {
7
- "content": "<|endoftext|>",
8
- "lstrip": false,
9
- "normalized": false,
10
- "rstrip": false,
11
- "single_word": false
12
- },
13
- "pad_token": "<|endoftext|>"
14
  }
 
1
  {
2
+ "bos_token": "<s>",
3
+ "eos_token": "</s>",
4
+ "pad_token": "</s>",
5
+ "unk_token": "<unk>"
 
 
 
 
 
 
 
 
6
  }
checkpoint-3750/tokenizer.json CHANGED
The diff for this file is too large to render. See raw diff
 
checkpoint-3750/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-3750/tokenizer_config.json CHANGED
@@ -1,24 +1,23 @@
1
  {
2
- "add_prefix_space": false,
3
  "added_tokens_decoder": {
4
- "151643": {
5
- "content": "<|endoftext|>",
6
  "lstrip": false,
7
  "normalized": false,
8
  "rstrip": false,
9
  "single_word": false,
10
  "special": true
11
  },
12
- "151644": {
13
- "content": "<|im_start|>",
14
  "lstrip": false,
15
  "normalized": false,
16
  "rstrip": false,
17
  "single_word": false,
18
  "special": true
19
  },
20
- "151645": {
21
- "content": "<|im_end|>",
22
  "lstrip": false,
23
  "normalized": false,
24
  "rstrip": false,
@@ -26,18 +25,16 @@
26
  "special": true
27
  }
28
  },
29
- "additional_special_tokens": [
30
- "<|im_start|>",
31
- "<|im_end|>"
32
- ],
33
- "bos_token": null,
34
- "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
35
  "clean_up_tokenization_spaces": false,
36
- "eos_token": "<|endoftext|>",
37
- "errors": "replace",
38
- "model_max_length": 32768,
39
- "pad_token": "<|endoftext|>",
40
- "split_special_tokens": false,
41
- "tokenizer_class": "Qwen2Tokenizer",
42
- "unk_token": null
 
 
43
  }
 
1
  {
 
2
  "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<unk>",
5
  "lstrip": false,
6
  "normalized": false,
7
  "rstrip": false,
8
  "single_word": false,
9
  "special": true
10
  },
11
+ "1": {
12
+ "content": "<s>",
13
  "lstrip": false,
14
  "normalized": false,
15
  "rstrip": false,
16
  "single_word": false,
17
  "special": true
18
  },
19
+ "2": {
20
+ "content": "</s>",
21
  "lstrip": false,
22
  "normalized": false,
23
  "rstrip": false,
 
25
  "special": true
26
  }
27
  },
28
+ "additional_special_tokens": [],
29
+ "bos_token": "<s>",
 
 
 
 
30
  "clean_up_tokenization_spaces": false,
31
+ "eos_token": "</s>",
32
+ "legacy": false,
33
+ "model_max_length": 1000000000000000019884624838656,
34
+ "pad_token": "</s>",
35
+ "padding_side": "left",
36
+ "sp_model_kwargs": {},
37
+ "tokenizer_class": "LlamaTokenizer",
38
+ "unk_token": "<unk>",
39
+ "use_default_system_prompt": true
40
  }
checkpoint-3750/trainer_state.json CHANGED
@@ -10,508 +10,457 @@
10
  "log_history": [
11
  {
12
  "epoch": 0.4,
13
- "grad_norm": 0.5897082090377808,
14
  "learning_rate": 0.0001,
15
- "loss": 2.3566,
16
  "step": 100
17
  },
18
  {
19
  "epoch": 0.8,
20
- "grad_norm": 0.5390245914459229,
21
  "learning_rate": 0.0001,
22
- "loss": 2.2503,
23
  "step": 200
24
  },
25
  {
26
  "epoch": 1.0,
27
- "eval_accuracy": 0.5155873015873016,
28
- "eval_loss": 2.3237216472625732,
29
- "eval_runtime": 6.3164,
30
- "eval_samples_per_second": 79.159,
31
- "eval_steps_per_second": 9.974,
32
  "step": 250
33
  },
34
  {
35
  "epoch": 1.0,
36
- "eval_exact_match": 17.2,
37
- "eval_f1": 25.586581359816655,
38
  "step": 250
39
  },
40
  {
41
  "epoch": 1.2,
42
- "grad_norm": 0.7468857169151306,
43
  "learning_rate": 0.0001,
44
- "loss": 2.1798,
45
  "step": 300
46
  },
47
  {
48
  "epoch": 1.6,
49
- "grad_norm": 0.9109599590301514,
50
  "learning_rate": 0.0001,
51
- "loss": 2.1094,
52
  "step": 400
53
  },
54
  {
55
  "epoch": 2.0,
56
- "grad_norm": 0.8458774089813232,
57
  "learning_rate": 0.0001,
58
- "loss": 2.087,
59
  "step": 500
60
  },
61
  {
62
  "epoch": 2.0,
63
- "eval_accuracy": 0.5163809523809524,
64
- "eval_loss": 2.3309242725372314,
65
- "eval_runtime": 5.1896,
66
- "eval_samples_per_second": 96.347,
67
- "eval_steps_per_second": 12.14,
68
  "step": 500
69
  },
70
  {
71
  "epoch": 2.0,
72
- "eval_exact_match": 18.6,
73
- "eval_f1": 26.043196248196264,
74
  "step": 500
75
  },
76
  {
77
  "epoch": 2.4,
78
- "grad_norm": 1.171212077140808,
79
  "learning_rate": 0.0001,
80
- "loss": 1.8413,
81
  "step": 600
82
  },
83
  {
84
  "epoch": 2.8,
85
- "grad_norm": 1.1294909715652466,
86
  "learning_rate": 0.0001,
87
- "loss": 1.849,
88
  "step": 700
89
  },
90
  {
91
  "epoch": 3.0,
92
- "eval_accuracy": 0.5144761904761905,
93
- "eval_loss": 2.401942253112793,
94
- "eval_runtime": 5.5775,
95
- "eval_samples_per_second": 89.646,
96
- "eval_steps_per_second": 11.295,
97
  "step": 750
98
  },
99
  {
100
  "epoch": 3.0,
101
- "eval_exact_match": 18.4,
102
- "eval_f1": 26.966370002546494,
103
  "step": 750
104
  },
105
  {
106
  "epoch": 3.2,
107
- "grad_norm": 1.5013824701309204,
108
  "learning_rate": 0.0001,
109
- "loss": 1.7322,
110
  "step": 800
111
  },
112
  {
113
  "epoch": 3.6,
114
- "grad_norm": 1.4516321420669556,
115
  "learning_rate": 0.0001,
116
- "loss": 1.5908,
117
  "step": 900
118
  },
119
  {
120
  "epoch": 4.0,
121
- "grad_norm": 1.6037466526031494,
122
  "learning_rate": 0.0001,
123
- "loss": 1.6193,
124
  "step": 1000
125
  },
126
  {
127
  "epoch": 4.0,
128
- "eval_accuracy": 0.5103809523809524,
129
- "eval_loss": 2.5039021968841553,
130
- "eval_runtime": 5.1568,
131
- "eval_samples_per_second": 96.96,
132
- "eval_steps_per_second": 12.217,
133
  "step": 1000
134
  },
135
  {
136
  "epoch": 4.0,
137
- "eval_exact_match": 18.4,
138
- "eval_f1": 26.892813852813866,
139
  "step": 1000
140
  },
141
  {
142
  "epoch": 4.4,
143
- "grad_norm": 1.7909170389175415,
144
  "learning_rate": 0.0001,
145
- "loss": 1.3298,
146
  "step": 1100
147
  },
148
  {
149
  "epoch": 4.8,
150
- "grad_norm": 1.9236161708831787,
151
  "learning_rate": 0.0001,
152
- "loss": 1.3666,
153
  "step": 1200
154
  },
155
  {
156
  "epoch": 5.0,
157
- "eval_accuracy": 0.505015873015873,
158
- "eval_loss": 2.6543924808502197,
159
- "eval_runtime": 5.5115,
160
- "eval_samples_per_second": 90.719,
161
- "eval_steps_per_second": 11.431,
162
  "step": 1250
163
  },
164
  {
165
  "epoch": 5.0,
166
- "eval_exact_match": 18.4,
167
- "eval_f1": 25.875286609941792,
168
  "step": 1250
169
  },
170
  {
171
  "epoch": 5.2,
172
- "grad_norm": 1.8524874448776245,
173
  "learning_rate": 0.0001,
174
- "loss": 1.2381,
175
  "step": 1300
176
  },
177
  {
178
  "epoch": 5.6,
179
- "grad_norm": 2.1092071533203125,
180
  "learning_rate": 0.0001,
181
- "loss": 1.1141,
182
  "step": 1400
183
  },
184
  {
185
  "epoch": 6.0,
186
- "grad_norm": 2.065767288208008,
187
  "learning_rate": 0.0001,
188
- "loss": 1.1435,
189
  "step": 1500
190
  },
191
  {
192
  "epoch": 6.0,
193
- "eval_accuracy": 0.5010793650793651,
194
- "eval_loss": 2.843566656112671,
195
- "eval_runtime": 5.1394,
196
- "eval_samples_per_second": 97.287,
197
- "eval_steps_per_second": 12.258,
198
  "step": 1500
199
  },
200
  {
201
  "epoch": 6.0,
202
- "eval_exact_match": 17.4,
203
- "eval_f1": 24.31514874014875,
204
  "step": 1500
205
  },
206
  {
207
  "epoch": 6.4,
208
- "grad_norm": 2.329406261444092,
209
  "learning_rate": 0.0001,
210
- "loss": 0.8887,
211
  "step": 1600
212
  },
213
  {
214
  "epoch": 6.8,
215
- "grad_norm": 2.489598274230957,
216
  "learning_rate": 0.0001,
217
- "loss": 0.9171,
218
  "step": 1700
219
  },
220
  {
221
  "epoch": 7.0,
222
- "eval_accuracy": 0.49707936507936507,
223
- "eval_loss": 3.0319864749908447,
224
- "eval_runtime": 5.3015,
225
- "eval_samples_per_second": 94.313,
226
- "eval_steps_per_second": 11.883,
227
  "step": 1750
228
  },
229
  {
230
  "epoch": 7.0,
231
- "eval_exact_match": 16.0,
232
- "eval_f1": 22.824985569985575,
233
  "step": 1750
234
  },
235
  {
236
  "epoch": 7.2,
237
- "grad_norm": 2.764033794403076,
238
  "learning_rate": 0.0001,
239
- "loss": 0.8093,
240
  "step": 1800
241
  },
242
  {
243
  "epoch": 7.6,
244
- "grad_norm": 2.5643441677093506,
245
  "learning_rate": 0.0001,
246
- "loss": 0.724,
247
  "step": 1900
248
  },
249
  {
250
  "epoch": 8.0,
251
- "grad_norm": 2.074833631515503,
252
  "learning_rate": 0.0001,
253
- "loss": 0.7531,
254
  "step": 2000
255
  },
256
  {
257
  "epoch": 8.0,
258
- "eval_accuracy": 0.49304761904761907,
259
- "eval_loss": 3.2584712505340576,
260
- "eval_runtime": 5.2945,
261
- "eval_samples_per_second": 94.438,
262
- "eval_steps_per_second": 11.899,
263
  "step": 2000
264
  },
265
  {
266
  "epoch": 8.0,
267
- "eval_exact_match": 15.0,
268
- "eval_f1": 21.895264180264185,
269
  "step": 2000
270
  },
271
  {
272
  "epoch": 8.4,
273
- "grad_norm": 2.649679660797119,
274
  "learning_rate": 0.0001,
275
- "loss": 0.5777,
276
  "step": 2100
277
  },
278
  {
279
  "epoch": 8.8,
280
- "grad_norm": 2.1969234943389893,
281
  "learning_rate": 0.0001,
282
- "loss": 0.6101,
283
  "step": 2200
284
  },
285
  {
286
  "epoch": 9.0,
287
- "eval_accuracy": 0.4925079365079365,
288
- "eval_loss": 3.3418095111846924,
289
- "eval_runtime": 5.1381,
290
- "eval_samples_per_second": 97.312,
291
- "eval_steps_per_second": 12.261,
292
  "step": 2250
293
  },
294
  {
295
  "epoch": 9.0,
296
- "eval_exact_match": 14.4,
297
- "eval_f1": 21.76202020202021,
298
  "step": 2250
299
  },
300
  {
301
  "epoch": 9.2,
302
- "grad_norm": 1.8318747282028198,
303
  "learning_rate": 0.0001,
304
- "loss": 0.555,
305
  "step": 2300
306
  },
307
  {
308
  "epoch": 9.6,
309
- "grad_norm": 1.9915804862976074,
310
  "learning_rate": 0.0001,
311
- "loss": 0.5102,
312
  "step": 2400
313
  },
314
  {
315
  "epoch": 10.0,
316
- "grad_norm": 2.1287789344787598,
317
  "learning_rate": 0.0001,
318
- "loss": 0.5392,
319
  "step": 2500
320
  },
321
  {
322
  "epoch": 10.0,
323
- "eval_accuracy": 0.4915555555555556,
324
- "eval_loss": 3.537275791168213,
325
- "eval_runtime": 5.1264,
326
- "eval_samples_per_second": 97.534,
327
- "eval_steps_per_second": 12.289,
328
  "step": 2500
329
  },
330
  {
331
  "epoch": 10.0,
332
- "eval_exact_match": 15.4,
333
- "eval_f1": 22.23013114336644,
334
  "step": 2500
335
  },
336
  {
337
  "epoch": 10.4,
338
- "grad_norm": 1.6748021841049194,
339
  "learning_rate": 0.0001,
340
- "loss": 0.4426,
341
  "step": 2600
342
  },
343
  {
344
  "epoch": 10.8,
345
- "grad_norm": 1.8744910955429077,
346
  "learning_rate": 0.0001,
347
- "loss": 0.4718,
348
  "step": 2700
349
  },
350
  {
351
  "epoch": 11.0,
352
- "eval_accuracy": 0.48926984126984124,
353
- "eval_loss": 3.631282091140747,
354
- "eval_runtime": 5.3142,
355
- "eval_samples_per_second": 94.087,
356
- "eval_steps_per_second": 11.855,
357
  "step": 2750
358
  },
359
  {
360
  "epoch": 11.0,
361
- "eval_exact_match": 15.6,
362
- "eval_f1": 21.87386002886003,
363
  "step": 2750
364
  },
365
  {
366
  "epoch": 11.2,
367
- "grad_norm": 2.1398115158081055,
368
  "learning_rate": 0.0001,
369
- "loss": 0.4456,
370
  "step": 2800
371
  },
372
  {
373
  "epoch": 11.6,
374
- "grad_norm": 1.8851490020751953,
375
  "learning_rate": 0.0001,
376
- "loss": 0.4328,
377
  "step": 2900
378
  },
379
  {
380
  "epoch": 12.0,
381
- "grad_norm": 1.6958885192871094,
382
  "learning_rate": 0.0001,
383
- "loss": 0.4446,
384
  "step": 3000
385
  },
386
  {
387
  "epoch": 12.0,
388
- "eval_accuracy": 0.49057142857142855,
389
- "eval_loss": 3.6736366748809814,
390
- "eval_runtime": 5.8652,
391
- "eval_samples_per_second": 85.248,
392
- "eval_steps_per_second": 10.741,
393
  "step": 3000
394
  },
395
  {
396
  "epoch": 12.0,
397
- "eval_exact_match": 15.2,
398
- "eval_f1": 21.81304966962862,
399
  "step": 3000
400
  },
401
  {
402
  "epoch": 12.4,
403
- "grad_norm": 1.8530863523483276,
404
  "learning_rate": 0.0001,
405
- "loss": 0.3969,
406
  "step": 3100
407
  },
408
  {
409
  "epoch": 12.8,
410
- "grad_norm": 1.9440696239471436,
411
  "learning_rate": 0.0001,
412
- "loss": 0.4204,
413
  "step": 3200
414
  },
415
  {
416
  "epoch": 13.0,
417
- "eval_accuracy": 0.4906031746031746,
418
- "eval_loss": 3.7342090606689453,
419
- "eval_runtime": 5.4947,
420
- "eval_samples_per_second": 90.996,
421
- "eval_steps_per_second": 11.466,
422
  "step": 3250
423
  },
424
  {
425
  "epoch": 13.0,
426
- "eval_exact_match": 15.8,
427
- "eval_f1": 21.908780663780668,
428
  "step": 3250
429
  },
430
  {
431
  "epoch": 13.2,
432
- "grad_norm": 1.7972825765609741,
433
  "learning_rate": 0.0001,
434
- "loss": 0.4036,
435
  "step": 3300
436
  },
437
  {
438
  "epoch": 13.6,
439
- "grad_norm": 1.6307235956192017,
440
  "learning_rate": 0.0001,
441
- "loss": 0.3929,
442
  "step": 3400
443
  },
444
  {
445
  "epoch": 14.0,
446
- "grad_norm": 2.7257182598114014,
447
  "learning_rate": 0.0001,
448
- "loss": 0.4131,
449
  "step": 3500
450
  },
451
  {
452
  "epoch": 14.0,
453
- "eval_accuracy": 0.4897142857142857,
454
- "eval_loss": 3.7777669429779053,
455
- "eval_runtime": 5.8394,
456
- "eval_samples_per_second": 85.626,
457
- "eval_steps_per_second": 10.789,
458
  "step": 3500
459
  },
460
  {
461
  "epoch": 14.0,
462
- "eval_exact_match": 15.0,
463
- "eval_f1": 21.873367129946075,
464
  "step": 3500
465
  },
466
  {
467
  "epoch": 14.4,
468
- "grad_norm": 1.1628468036651611,
469
  "learning_rate": 0.0001,
470
- "loss": 0.3756,
471
  "step": 3600
472
  },
473
  {
474
  "epoch": 14.8,
475
- "grad_norm": 2.109792470932007,
476
  "learning_rate": 0.0001,
477
- "loss": 0.3924,
478
  "step": 3700
479
  },
480
  {
481
  "epoch": 15.0,
482
- "eval_accuracy": 0.48965079365079367,
483
- "eval_loss": 3.820950746536255,
484
- "eval_runtime": 5.3214,
485
- "eval_samples_per_second": 93.96,
486
- "eval_steps_per_second": 11.839,
487
  "step": 3750
488
  },
489
  {
490
  "epoch": 15.0,
491
- "eval_exact_match": 14.6,
492
- "eval_f1": 22.25867243867245,
493
  "step": 3750
494
  }
495
  ],
496
  "logging_steps": 100,
497
  "max_steps": 12500,
498
- "num_input_tokens_seen": 0,
499
  "num_train_epochs": 50,
500
  "save_steps": 500,
501
- "stateful_callbacks": {
502
- "TrainerControl": {
503
- "args": {
504
- "should_epoch_stop": false,
505
- "should_evaluate": false,
506
- "should_log": false,
507
- "should_save": true,
508
- "should_training_stop": false
509
- },
510
- "attributes": {}
511
- }
512
- },
513
- "total_flos": 1.1471897886090854e+17,
514
- "train_batch_size": 2,
515
  "trial_name": null,
516
  "trial_params": null
517
  }
 
10
  "log_history": [
11
  {
12
  "epoch": 0.4,
 
13
  "learning_rate": 0.0001,
14
+ "loss": 2.0446,
15
  "step": 100
16
  },
17
  {
18
  "epoch": 0.8,
 
19
  "learning_rate": 0.0001,
20
+ "loss": 1.7752,
21
  "step": 200
22
  },
23
  {
24
  "epoch": 1.0,
25
+ "eval_accuracy": 0.6076455696202532,
26
+ "eval_loss": 1.8067126274108887,
27
+ "eval_runtime": 5.0018,
28
+ "eval_samples_per_second": 99.965,
29
+ "eval_steps_per_second": 12.596,
30
  "step": 250
31
  },
32
  {
33
  "epoch": 1.0,
34
+ "eval_exact_match": 24.4,
35
+ "eval_f1": 35.27913510466144,
36
  "step": 250
37
  },
38
  {
39
  "epoch": 1.2,
 
40
  "learning_rate": 0.0001,
41
+ "loss": 1.7141,
42
  "step": 300
43
  },
44
  {
45
  "epoch": 1.6,
 
46
  "learning_rate": 0.0001,
47
+ "loss": 1.6576,
48
  "step": 400
49
  },
50
  {
51
  "epoch": 2.0,
 
52
  "learning_rate": 0.0001,
53
+ "loss": 1.6469,
54
  "step": 500
55
  },
56
  {
57
  "epoch": 2.0,
58
+ "eval_accuracy": 0.607746835443038,
59
+ "eval_loss": 1.810449481010437,
60
+ "eval_runtime": 4.5227,
61
+ "eval_samples_per_second": 110.552,
62
+ "eval_steps_per_second": 13.93,
63
  "step": 500
64
  },
65
  {
66
  "epoch": 2.0,
67
+ "eval_exact_match": 24.2,
68
+ "eval_f1": 33.990575470281364,
69
  "step": 500
70
  },
71
  {
72
  "epoch": 2.4,
 
73
  "learning_rate": 0.0001,
74
+ "loss": 1.4453,
75
  "step": 600
76
  },
77
  {
78
  "epoch": 2.8,
 
79
  "learning_rate": 0.0001,
80
+ "loss": 1.474,
81
  "step": 700
82
  },
83
  {
84
  "epoch": 3.0,
85
+ "eval_accuracy": 0.6055696202531645,
86
+ "eval_loss": 1.8687865734100342,
87
+ "eval_runtime": 4.7138,
88
+ "eval_samples_per_second": 106.072,
89
+ "eval_steps_per_second": 13.365,
90
  "step": 750
91
  },
92
  {
93
  "epoch": 3.0,
94
+ "eval_exact_match": 23.0,
95
+ "eval_f1": 33.30356143856145,
96
  "step": 750
97
  },
98
  {
99
  "epoch": 3.2,
 
100
  "learning_rate": 0.0001,
101
+ "loss": 1.3572,
102
  "step": 800
103
  },
104
  {
105
  "epoch": 3.6,
 
106
  "learning_rate": 0.0001,
107
+ "loss": 1.2472,
108
  "step": 900
109
  },
110
  {
111
  "epoch": 4.0,
 
112
  "learning_rate": 0.0001,
113
+ "loss": 1.2742,
114
  "step": 1000
115
  },
116
  {
117
  "epoch": 4.0,
118
+ "eval_accuracy": 0.6030886075949367,
119
+ "eval_loss": 1.9776239395141602,
120
+ "eval_runtime": 4.5553,
121
+ "eval_samples_per_second": 109.762,
122
+ "eval_steps_per_second": 13.83,
123
  "step": 1000
124
  },
125
  {
126
  "epoch": 4.0,
127
+ "eval_exact_match": 22.6,
128
+ "eval_f1": 32.07458596958597,
129
  "step": 1000
130
  },
131
  {
132
  "epoch": 4.4,
 
133
  "learning_rate": 0.0001,
134
+ "loss": 1.0303,
135
  "step": 1100
136
  },
137
  {
138
  "epoch": 4.8,
 
139
  "learning_rate": 0.0001,
140
+ "loss": 1.0851,
141
  "step": 1200
142
  },
143
  {
144
  "epoch": 5.0,
145
+ "eval_accuracy": 0.599873417721519,
146
+ "eval_loss": 2.081591844558716,
147
+ "eval_runtime": 5.0717,
148
+ "eval_samples_per_second": 98.586,
149
+ "eval_steps_per_second": 12.422,
150
  "step": 1250
151
  },
152
  {
153
  "epoch": 5.0,
154
+ "eval_exact_match": 21.8,
155
+ "eval_f1": 30.650287424993316,
156
  "step": 1250
157
  },
158
  {
159
  "epoch": 5.2,
 
160
  "learning_rate": 0.0001,
161
+ "loss": 0.9745,
162
  "step": 1300
163
  },
164
  {
165
  "epoch": 5.6,
 
166
  "learning_rate": 0.0001,
167
+ "loss": 0.8784,
168
  "step": 1400
169
  },
170
  {
171
  "epoch": 6.0,
 
172
  "learning_rate": 0.0001,
173
+ "loss": 0.9085,
174
  "step": 1500
175
  },
176
  {
177
  "epoch": 6.0,
178
+ "eval_accuracy": 0.5969873417721518,
179
+ "eval_loss": 2.2579739093780518,
180
+ "eval_runtime": 4.9122,
181
+ "eval_samples_per_second": 101.788,
182
+ "eval_steps_per_second": 12.825,
183
  "step": 1500
184
  },
185
  {
186
  "epoch": 6.0,
187
+ "eval_exact_match": 21.8,
188
+ "eval_f1": 30.116953765189066,
189
  "step": 1500
190
  },
191
  {
192
  "epoch": 6.4,
 
193
  "learning_rate": 0.0001,
194
+ "loss": 0.6992,
195
  "step": 1600
196
  },
197
  {
198
  "epoch": 6.8,
 
199
  "learning_rate": 0.0001,
200
+ "loss": 0.7383,
201
  "step": 1700
202
  },
203
  {
204
  "epoch": 7.0,
205
+ "eval_accuracy": 0.5939240506329114,
206
+ "eval_loss": 2.3878135681152344,
207
+ "eval_runtime": 4.4125,
208
+ "eval_samples_per_second": 113.315,
209
+ "eval_steps_per_second": 14.278,
210
  "step": 1750
211
  },
212
  {
213
  "epoch": 7.0,
214
+ "eval_exact_match": 22.2,
215
+ "eval_f1": 30.4995441160147,
216
  "step": 1750
217
  },
218
  {
219
  "epoch": 7.2,
 
220
  "learning_rate": 0.0001,
221
+ "loss": 0.6582,
222
  "step": 1800
223
  },
224
  {
225
  "epoch": 7.6,
 
226
  "learning_rate": 0.0001,
227
+ "loss": 0.5881,
228
  "step": 1900
229
  },
230
  {
231
  "epoch": 8.0,
 
232
  "learning_rate": 0.0001,
233
+ "loss": 0.6143,
234
  "step": 2000
235
  },
236
  {
237
  "epoch": 8.0,
238
+ "eval_accuracy": 0.5923544303797469,
239
+ "eval_loss": 2.5656919479370117,
240
+ "eval_runtime": 4.3988,
241
+ "eval_samples_per_second": 113.667,
242
+ "eval_steps_per_second": 14.322,
243
  "step": 2000
244
  },
245
  {
246
  "epoch": 8.0,
247
+ "eval_exact_match": 21.8,
248
+ "eval_f1": 30.237513923984515,
249
  "step": 2000
250
  },
251
  {
252
  "epoch": 8.4,
 
253
  "learning_rate": 0.0001,
254
+ "loss": 0.4727,
255
  "step": 2100
256
  },
257
  {
258
  "epoch": 8.8,
 
259
  "learning_rate": 0.0001,
260
+ "loss": 0.5047,
261
  "step": 2200
262
  },
263
  {
264
  "epoch": 9.0,
265
+ "eval_accuracy": 0.5898987341772152,
266
+ "eval_loss": 2.6870768070220947,
267
+ "eval_runtime": 4.5648,
268
+ "eval_samples_per_second": 109.534,
269
+ "eval_steps_per_second": 13.801,
270
  "step": 2250
271
  },
272
  {
273
  "epoch": 9.0,
274
+ "eval_exact_match": 21.0,
275
+ "eval_f1": 29.401002657473246,
276
  "step": 2250
277
  },
278
  {
279
  "epoch": 9.2,
 
280
  "learning_rate": 0.0001,
281
+ "loss": 0.4595,
282
  "step": 2300
283
  },
284
  {
285
  "epoch": 9.6,
 
286
  "learning_rate": 0.0001,
287
+ "loss": 0.4269,
288
  "step": 2400
289
  },
290
  {
291
  "epoch": 10.0,
 
292
  "learning_rate": 0.0001,
293
+ "loss": 0.4457,
294
  "step": 2500
295
  },
296
  {
297
  "epoch": 10.0,
298
+ "eval_accuracy": 0.5886835443037974,
299
+ "eval_loss": 2.8029491901397705,
300
+ "eval_runtime": 4.7023,
301
+ "eval_samples_per_second": 106.332,
302
+ "eval_steps_per_second": 13.398,
303
  "step": 2500
304
  },
305
  {
306
  "epoch": 10.0,
307
+ "eval_exact_match": 20.8,
308
+ "eval_f1": 29.73924219571279,
309
  "step": 2500
310
  },
311
  {
312
  "epoch": 10.4,
 
313
  "learning_rate": 0.0001,
314
+ "loss": 0.3725,
315
  "step": 2600
316
  },
317
  {
318
  "epoch": 10.8,
 
319
  "learning_rate": 0.0001,
320
+ "loss": 0.3942,
321
  "step": 2700
322
  },
323
  {
324
  "epoch": 11.0,
325
+ "eval_accuracy": 0.5877215189873418,
326
+ "eval_loss": 2.9129838943481445,
327
+ "eval_runtime": 5.1228,
328
+ "eval_samples_per_second": 97.603,
329
+ "eval_steps_per_second": 12.298,
330
  "step": 2750
331
  },
332
  {
333
  "epoch": 11.0,
334
+ "eval_exact_match": 17.8,
335
+ "eval_f1": 27.10153509378855,
336
  "step": 2750
337
  },
338
  {
339
  "epoch": 11.2,
 
340
  "learning_rate": 0.0001,
341
+ "loss": 0.3736,
342
  "step": 2800
343
  },
344
  {
345
  "epoch": 11.6,
 
346
  "learning_rate": 0.0001,
347
+ "loss": 0.3612,
348
  "step": 2900
349
  },
350
  {
351
  "epoch": 12.0,
 
352
  "learning_rate": 0.0001,
353
+ "loss": 0.375,
354
  "step": 3000
355
  },
356
  {
357
  "epoch": 12.0,
358
+ "eval_accuracy": 0.5900759493670886,
359
+ "eval_loss": 2.9960711002349854,
360
+ "eval_runtime": 4.5558,
361
+ "eval_samples_per_second": 109.749,
362
+ "eval_steps_per_second": 13.828,
363
  "step": 3000
364
  },
365
  {
366
  "epoch": 12.0,
367
+ "eval_exact_match": 15.8,
368
+ "eval_f1": 23.735175071397414,
369
  "step": 3000
370
  },
371
  {
372
  "epoch": 12.4,
 
373
  "learning_rate": 0.0001,
374
+ "loss": 0.3326,
375
  "step": 3100
376
  },
377
  {
378
  "epoch": 12.8,
 
379
  "learning_rate": 0.0001,
380
+ "loss": 0.3503,
381
  "step": 3200
382
  },
383
  {
384
  "epoch": 13.0,
385
+ "eval_accuracy": 0.5899493670886076,
386
+ "eval_loss": 3.0212697982788086,
387
+ "eval_runtime": 4.4053,
388
+ "eval_samples_per_second": 113.5,
389
+ "eval_steps_per_second": 14.301,
390
  "step": 3250
391
  },
392
  {
393
  "epoch": 13.0,
394
+ "eval_exact_match": 4.0,
395
+ "eval_f1": 9.841706398176983,
396
  "step": 3250
397
  },
398
  {
399
  "epoch": 13.2,
 
400
  "learning_rate": 0.0001,
401
+ "loss": 0.3386,
402
  "step": 3300
403
  },
404
  {
405
  "epoch": 13.6,
 
406
  "learning_rate": 0.0001,
407
+ "loss": 0.3305,
408
  "step": 3400
409
  },
410
  {
411
  "epoch": 14.0,
 
412
  "learning_rate": 0.0001,
413
+ "loss": 0.3442,
414
  "step": 3500
415
  },
416
  {
417
  "epoch": 14.0,
418
+ "eval_accuracy": 0.5883291139240506,
419
+ "eval_loss": 3.077633857727051,
420
+ "eval_runtime": 4.4554,
421
+ "eval_samples_per_second": 112.224,
422
+ "eval_steps_per_second": 14.14,
423
  "step": 3500
424
  },
425
  {
426
  "epoch": 14.0,
427
+ "eval_exact_match": 5.0,
428
+ "eval_f1": 11.835427535427533,
429
  "step": 3500
430
  },
431
  {
432
  "epoch": 14.4,
 
433
  "learning_rate": 0.0001,
434
+ "loss": 0.3131,
435
  "step": 3600
436
  },
437
  {
438
  "epoch": 14.8,
 
439
  "learning_rate": 0.0001,
440
+ "loss": 0.3334,
441
  "step": 3700
442
  },
443
  {
444
  "epoch": 15.0,
445
+ "eval_accuracy": 0.5892911392405064,
446
+ "eval_loss": 3.1445634365081787,
447
+ "eval_runtime": 4.5617,
448
+ "eval_samples_per_second": 109.609,
449
+ "eval_steps_per_second": 13.811,
450
  "step": 3750
451
  },
452
  {
453
  "epoch": 15.0,
454
+ "eval_exact_match": 1.2,
455
+ "eval_f1": 4.139209256423578,
456
  "step": 3750
457
  }
458
  ],
459
  "logging_steps": 100,
460
  "max_steps": 12500,
 
461
  "num_train_epochs": 50,
462
  "save_steps": 500,
463
+ "total_flos": 2.397979390676828e+17,
 
 
 
 
 
 
 
 
 
 
 
 
 
464
  "trial_name": null,
465
  "trial_params": null
466
  }
checkpoint-3750/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c3414153f69372b550d629c900d05ab7510b14d218f2d8546142e7b41d948d3e
3
- size 5304
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e32f95a567f2c80104b456ab796a180c8c7fa1c0685e00bbceb4995e8fa84ef1
3
+ size 4728