tyzhu commited on
Commit
e3cf858
1 Parent(s): a00a419

Training in progress, epoch 42, checkpoint

Browse files
checkpoint-8062/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-8062/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:80e16408a9a5e0da9815fb829801d18a45e32b68e9c75b892a351c5b1b4b2d95
3
+ size 143269386
checkpoint-8062/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-8062/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6a96e56a4f4e6baa99ebf2428c80843c7a46e791710907e8bebe1b4cf9263488
3
- size 224537202
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e83d63874c7899647669037516db40e07cac5f2ac0bc36ed31620bc48036e66
3
+ size 286585234
checkpoint-8062/rng_state_0.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5f8d73123255eb09500c770746e4f3aab43eda528bf72a657523e21a6ef35cfb
3
  size 15024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d74144de1c01009da204c2e53c691471c2f1bbdb8656c1e1045b96fb1c74f3e2
3
  size 15024
checkpoint-8062/rng_state_1.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a94fb6728fca3f4d4348d170df360f3bd8fcc2bdb4cccbcdf9d11a14b280e280
3
  size 15024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a4804c0c8ea62e1805f735d7c948d4673fbe03428358f5bcb6de96a95eb598f
3
  size 15024
checkpoint-8062/rng_state_2.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:eb72d4b88a93891eec31e77831e68e49b3a0a97b717fe079aedad2c21c28daae
3
  size 15024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:96d294f9dfcb36132c39bf9c8594dc77d18bdcead0c85272f313e3f6fa66090e
3
  size 15024
checkpoint-8062/rng_state_3.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cc0b6c8c0e6f293d3679d25d43e766519d549c10558c25c9a3660ada4ebd4013
3
  size 15024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1e42491973d49d72c8fbb1b85f85909cc8bf79eae21a3553ade3bf64715e1850
3
  size 15024
checkpoint-8062/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-8062/tokenizer.json CHANGED
The diff for this file is too large to render. See raw diff
 
checkpoint-8062/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-8062/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-8062/trainer_state.json CHANGED
@@ -9,1230 +9,1136 @@
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
- "epoch": 0.5333333333333333,
13
- "grad_norm": 0.64143306016922,
14
  "learning_rate": 0.0001,
15
- "loss": 1.7779,
16
  "step": 100
17
  },
18
  {
19
- "epoch": 0.9973333333333333,
20
- "eval_accuracy": 0.5734871794871795,
21
- "eval_loss": 1.6191272735595703,
22
- "eval_runtime": 5.393,
23
- "eval_samples_per_second": 92.713,
24
- "eval_steps_per_second": 11.682,
25
  "step": 187
26
  },
27
  {
28
- "epoch": 0.9973333333333333,
29
- "eval_exact_match": 18.0,
30
- "eval_f1": 28.280476190476193,
31
  "step": 187
32
  },
33
  {
34
- "epoch": 1.0666666666666667,
35
- "grad_norm": 0.7118939161300659,
36
  "learning_rate": 0.0001,
37
- "loss": 1.6349,
38
  "step": 200
39
  },
40
  {
41
  "epoch": 1.6,
42
- "grad_norm": 1.0694799423217773,
43
  "learning_rate": 0.0001,
44
- "loss": 1.4887,
45
  "step": 300
46
  },
47
  {
48
  "epoch": 2.0,
49
- "eval_accuracy": 0.5735897435897436,
50
- "eval_loss": 1.6172032356262207,
51
- "eval_runtime": 5.0425,
52
- "eval_samples_per_second": 99.158,
53
- "eval_steps_per_second": 12.494,
54
  "step": 375
55
  },
56
  {
57
  "epoch": 2.0,
58
- "eval_exact_match": 19.8,
59
- "eval_f1": 28.77095238095238,
60
  "step": 375
61
  },
62
  {
63
- "epoch": 2.1333333333333333,
64
- "grad_norm": 1.28153395652771,
65
  "learning_rate": 0.0001,
66
- "loss": 1.4304,
67
  "step": 400
68
  },
69
  {
70
- "epoch": 2.6666666666666665,
71
- "grad_norm": 1.3190444707870483,
72
  "learning_rate": 0.0001,
73
- "loss": 1.2346,
74
  "step": 500
75
  },
76
  {
77
- "epoch": 2.997333333333333,
78
- "eval_accuracy": 0.5706153846153846,
79
- "eval_loss": 1.6950472593307495,
80
- "eval_runtime": 5.1981,
81
- "eval_samples_per_second": 96.188,
82
- "eval_steps_per_second": 12.12,
83
  "step": 562
84
  },
85
  {
86
- "epoch": 2.997333333333333,
87
- "eval_exact_match": 19.4,
88
- "eval_f1": 28.241904761904756,
89
  "step": 562
90
  },
91
  {
92
  "epoch": 3.2,
93
- "grad_norm": 1.5040416717529297,
94
  "learning_rate": 0.0001,
95
- "loss": 1.1583,
96
  "step": 600
97
  },
98
  {
99
- "epoch": 3.7333333333333334,
100
- "grad_norm": 1.512290358543396,
101
  "learning_rate": 0.0001,
102
- "loss": 1.0104,
103
  "step": 700
104
  },
105
  {
106
  "epoch": 4.0,
107
- "eval_accuracy": 0.5655897435897436,
108
- "eval_loss": 1.7944799661636353,
109
- "eval_runtime": 5.3441,
110
- "eval_samples_per_second": 93.561,
111
- "eval_steps_per_second": 11.789,
112
  "step": 750
113
  },
114
  {
115
  "epoch": 4.0,
116
- "eval_exact_match": 15.8,
117
- "eval_f1": 23.639523809523823,
118
  "step": 750
119
  },
120
  {
121
- "epoch": 4.266666666666667,
122
- "grad_norm": 1.698282241821289,
123
  "learning_rate": 0.0001,
124
- "loss": 0.9275,
125
  "step": 800
126
  },
127
  {
128
  "epoch": 4.8,
129
- "grad_norm": 1.6007401943206787,
130
  "learning_rate": 0.0001,
131
- "loss": 0.843,
132
  "step": 900
133
  },
134
  {
135
- "epoch": 4.997333333333334,
136
- "eval_accuracy": 0.5632820512820513,
137
- "eval_loss": 1.9219905138015747,
138
- "eval_runtime": 5.2659,
139
- "eval_samples_per_second": 94.951,
140
- "eval_steps_per_second": 11.964,
141
  "step": 937
142
  },
143
  {
144
- "epoch": 4.997333333333334,
145
- "eval_exact_match": 15.8,
146
- "eval_f1": 24.631904761904778,
147
  "step": 937
148
  },
149
  {
150
- "epoch": 5.333333333333333,
151
- "grad_norm": 1.5375592708587646,
152
  "learning_rate": 0.0001,
153
- "loss": 0.7516,
154
  "step": 1000
155
  },
156
  {
157
- "epoch": 5.866666666666667,
158
- "grad_norm": 1.718989372253418,
159
  "learning_rate": 0.0001,
160
- "loss": 0.7199,
161
  "step": 1100
162
  },
163
  {
164
  "epoch": 6.0,
165
- "eval_accuracy": 0.5616923076923077,
166
- "eval_loss": 2.016322612762451,
167
- "eval_runtime": 5.116,
168
- "eval_samples_per_second": 97.734,
169
- "eval_steps_per_second": 12.314,
170
  "step": 1125
171
  },
172
  {
173
  "epoch": 6.0,
174
- "eval_exact_match": 14.4,
175
- "eval_f1": 22.39285714285715,
176
  "step": 1125
177
  },
178
  {
179
  "epoch": 6.4,
180
- "grad_norm": 1.8337936401367188,
181
  "learning_rate": 0.0001,
182
- "loss": 0.6378,
183
  "step": 1200
184
  },
185
  {
186
- "epoch": 6.933333333333334,
187
- "grad_norm": 1.9019217491149902,
188
  "learning_rate": 0.0001,
189
- "loss": 0.6432,
190
  "step": 1300
191
  },
192
  {
193
- "epoch": 6.997333333333334,
194
- "eval_accuracy": 0.5616410256410257,
195
- "eval_loss": 2.1283841133117676,
196
- "eval_runtime": 5.1352,
197
- "eval_samples_per_second": 97.367,
198
- "eval_steps_per_second": 12.268,
199
  "step": 1312
200
  },
201
  {
202
- "epoch": 6.997333333333334,
203
- "eval_exact_match": 13.8,
204
- "eval_f1": 22.042857142857148,
205
  "step": 1312
206
  },
207
  {
208
- "epoch": 7.466666666666667,
209
- "grad_norm": 1.246907114982605,
210
  "learning_rate": 0.0001,
211
- "loss": 0.578,
212
  "step": 1400
213
  },
214
  {
215
  "epoch": 8.0,
216
- "grad_norm": 1.6256760358810425,
217
  "learning_rate": 0.0001,
218
- "loss": 0.596,
219
  "step": 1500
220
  },
221
  {
222
  "epoch": 8.0,
223
- "eval_accuracy": 0.5603589743589743,
224
- "eval_loss": 2.170966386795044,
225
- "eval_runtime": 5.0636,
226
- "eval_samples_per_second": 98.744,
227
- "eval_steps_per_second": 12.442,
228
  "step": 1500
229
  },
230
  {
231
  "epoch": 8.0,
232
- "eval_exact_match": 14.4,
233
- "eval_f1": 21.71636363636364,
234
  "step": 1500
235
  },
236
  {
237
- "epoch": 8.533333333333333,
238
- "grad_norm": 1.3106721639633179,
239
  "learning_rate": 0.0001,
240
- "loss": 0.543,
241
  "step": 1600
242
  },
243
  {
244
- "epoch": 8.997333333333334,
245
- "eval_accuracy": 0.5595384615384615,
246
- "eval_loss": 2.262348175048828,
247
- "eval_runtime": 5.3198,
248
- "eval_samples_per_second": 93.989,
249
- "eval_steps_per_second": 11.843,
250
  "step": 1687
251
  },
252
  {
253
- "epoch": 8.997333333333334,
254
- "eval_exact_match": 16.0,
255
- "eval_f1": 24.34507936507938,
256
  "step": 1687
257
  },
258
  {
259
- "epoch": 9.066666666666666,
260
- "grad_norm": 1.0499460697174072,
261
  "learning_rate": 0.0001,
262
- "loss": 0.5644,
263
  "step": 1700
264
  },
265
  {
266
  "epoch": 9.6,
267
- "grad_norm": 0.9217801690101624,
268
  "learning_rate": 0.0001,
269
- "loss": 0.5314,
270
  "step": 1800
271
  },
272
  {
273
  "epoch": 10.0,
274
- "eval_accuracy": 0.5583589743589744,
275
- "eval_loss": 2.268125057220459,
276
- "eval_runtime": 5.457,
277
- "eval_samples_per_second": 91.626,
278
- "eval_steps_per_second": 11.545,
279
  "step": 1875
280
  },
281
  {
282
  "epoch": 10.0,
283
- "eval_exact_match": 15.4,
284
- "eval_f1": 23.46095238095238,
285
  "step": 1875
286
  },
287
  {
288
- "epoch": 10.133333333333333,
289
- "grad_norm": 0.969529926776886,
290
  "learning_rate": 0.0001,
291
- "loss": 0.534,
292
  "step": 1900
293
  },
294
  {
295
- "epoch": 10.666666666666666,
296
- "grad_norm": 0.9540187120437622,
297
  "learning_rate": 0.0001,
298
- "loss": 0.5171,
299
  "step": 2000
300
  },
301
  {
302
- "epoch": 10.997333333333334,
303
- "eval_accuracy": 0.5584615384615385,
304
- "eval_loss": 2.3312978744506836,
305
- "eval_runtime": 5.2187,
306
- "eval_samples_per_second": 95.81,
307
- "eval_steps_per_second": 12.072,
308
  "step": 2062
309
  },
310
  {
311
- "epoch": 10.997333333333334,
312
- "eval_exact_match": 16.2,
313
- "eval_f1": 23.968888888888895,
314
  "step": 2062
315
  },
316
  {
317
  "epoch": 11.2,
318
- "grad_norm": 0.8946124911308289,
319
  "learning_rate": 0.0001,
320
- "loss": 0.5208,
321
  "step": 2100
322
  },
323
  {
324
- "epoch": 11.733333333333333,
325
- "grad_norm": 0.8362706899642944,
326
  "learning_rate": 0.0001,
327
- "loss": 0.512,
328
  "step": 2200
329
  },
330
  {
331
  "epoch": 12.0,
332
- "eval_accuracy": 0.559025641025641,
333
- "eval_loss": 2.364483594894409,
334
- "eval_runtime": 5.0957,
335
- "eval_samples_per_second": 98.122,
336
- "eval_steps_per_second": 12.363,
337
  "step": 2250
338
  },
339
  {
340
  "epoch": 12.0,
341
- "eval_exact_match": 16.0,
342
- "eval_f1": 24.015714285714285,
343
  "step": 2250
344
  },
345
  {
346
- "epoch": 12.266666666666667,
347
- "grad_norm": 0.7387551665306091,
348
  "learning_rate": 0.0001,
349
- "loss": 0.5038,
350
  "step": 2300
351
  },
352
  {
353
  "epoch": 12.8,
354
- "grad_norm": 0.8488346338272095,
355
  "learning_rate": 0.0001,
356
- "loss": 0.503,
357
  "step": 2400
358
  },
359
  {
360
- "epoch": 12.997333333333334,
361
- "eval_accuracy": 0.5588205128205128,
362
- "eval_loss": 2.3642191886901855,
363
- "eval_runtime": 5.4807,
364
- "eval_samples_per_second": 91.23,
365
- "eval_steps_per_second": 11.495,
366
  "step": 2437
367
  },
368
  {
369
- "epoch": 12.997333333333334,
370
- "eval_exact_match": 16.0,
371
- "eval_f1": 23.92238095238096,
372
  "step": 2437
373
  },
374
  {
375
- "epoch": 13.333333333333334,
376
- "grad_norm": 0.9431668519973755,
377
  "learning_rate": 0.0001,
378
- "loss": 0.4941,
379
  "step": 2500
380
  },
381
  {
382
- "epoch": 13.866666666666667,
383
- "grad_norm": 0.8775368928909302,
384
  "learning_rate": 0.0001,
385
- "loss": 0.4996,
386
  "step": 2600
387
  },
388
  {
389
  "epoch": 14.0,
390
- "eval_accuracy": 0.5582051282051282,
391
- "eval_loss": 2.436706304550171,
392
- "eval_runtime": 5.1472,
393
- "eval_samples_per_second": 97.141,
394
- "eval_steps_per_second": 12.24,
395
  "step": 2625
396
  },
397
  {
398
  "epoch": 14.0,
399
- "eval_exact_match": 15.4,
400
- "eval_f1": 24.02761904761905,
401
  "step": 2625
402
  },
403
  {
404
  "epoch": 14.4,
405
- "grad_norm": 0.6873505115509033,
406
  "learning_rate": 0.0001,
407
- "loss": 0.4835,
408
  "step": 2700
409
  },
410
  {
411
- "epoch": 14.933333333333334,
412
- "grad_norm": 0.7216406464576721,
413
  "learning_rate": 0.0001,
414
- "loss": 0.4966,
415
  "step": 2800
416
  },
417
  {
418
- "epoch": 14.997333333333334,
419
- "eval_accuracy": 0.5585128205128205,
420
- "eval_loss": 2.4315266609191895,
421
- "eval_runtime": 5.7766,
422
- "eval_samples_per_second": 86.556,
423
- "eval_steps_per_second": 10.906,
424
  "step": 2812
425
  },
426
  {
427
- "epoch": 14.997333333333334,
428
- "eval_exact_match": 15.2,
429
- "eval_f1": 23.853333333333342,
430
  "step": 2812
431
  },
432
  {
433
- "epoch": 15.466666666666667,
434
- "grad_norm": 0.7105251550674438,
435
  "learning_rate": 0.0001,
436
- "loss": 0.476,
437
  "step": 2900
438
  },
439
  {
440
  "epoch": 16.0,
441
- "grad_norm": 0.6648848056793213,
442
  "learning_rate": 0.0001,
443
- "loss": 0.4967,
444
  "step": 3000
445
  },
446
  {
447
  "epoch": 16.0,
448
- "eval_accuracy": 0.5587179487179487,
449
- "eval_loss": 2.417990207672119,
450
- "eval_runtime": 5.286,
451
- "eval_samples_per_second": 94.589,
452
- "eval_steps_per_second": 11.918,
453
  "step": 3000
454
  },
455
  {
456
  "epoch": 16.0,
457
- "eval_exact_match": 14.8,
458
- "eval_f1": 23.16634920634922,
459
  "step": 3000
460
  },
461
  {
462
- "epoch": 16.533333333333335,
463
- "grad_norm": 0.7454655766487122,
464
  "learning_rate": 0.0001,
465
- "loss": 0.4692,
466
  "step": 3100
467
  },
468
  {
469
- "epoch": 16.997333333333334,
470
- "eval_accuracy": 0.559076923076923,
471
- "eval_loss": 2.4195001125335693,
472
- "eval_runtime": 5.3355,
473
- "eval_samples_per_second": 93.712,
474
- "eval_steps_per_second": 11.808,
475
  "step": 3187
476
  },
477
  {
478
- "epoch": 16.997333333333334,
479
- "eval_exact_match": 15.6,
480
- "eval_f1": 24.129523809523818,
481
  "step": 3187
482
  },
483
  {
484
- "epoch": 17.066666666666666,
485
- "grad_norm": 1.0016876459121704,
486
  "learning_rate": 0.0001,
487
- "loss": 0.4901,
488
  "step": 3200
489
  },
490
  {
491
  "epoch": 17.6,
492
- "grad_norm": 1.0129618644714355,
493
  "learning_rate": 0.0001,
494
- "loss": 0.4738,
495
  "step": 3300
496
  },
497
  {
498
  "epoch": 18.0,
499
- "eval_accuracy": 0.5584102564102564,
500
- "eval_loss": 2.449228048324585,
501
- "eval_runtime": 5.0748,
502
- "eval_samples_per_second": 98.526,
503
- "eval_steps_per_second": 12.414,
504
  "step": 3375
505
  },
506
  {
507
  "epoch": 18.0,
508
- "eval_exact_match": 14.8,
509
- "eval_f1": 23.08238095238097,
510
  "step": 3375
511
  },
512
  {
513
- "epoch": 18.133333333333333,
514
- "grad_norm": 0.6989188194274902,
515
  "learning_rate": 0.0001,
516
- "loss": 0.4822,
517
  "step": 3400
518
  },
519
  {
520
- "epoch": 18.666666666666668,
521
- "grad_norm": 0.730583667755127,
522
  "learning_rate": 0.0001,
523
- "loss": 0.4732,
524
  "step": 3500
525
  },
526
  {
527
- "epoch": 18.997333333333334,
528
- "eval_accuracy": 0.5583076923076923,
529
- "eval_loss": 2.410703182220459,
530
- "eval_runtime": 5.3514,
531
- "eval_samples_per_second": 93.434,
532
- "eval_steps_per_second": 11.773,
533
  "step": 3562
534
  },
535
  {
536
- "epoch": 18.997333333333334,
537
- "eval_exact_match": 15.4,
538
- "eval_f1": 22.446825396825407,
539
  "step": 3562
540
  },
541
  {
542
  "epoch": 19.2,
543
- "grad_norm": 0.6478275060653687,
544
  "learning_rate": 0.0001,
545
- "loss": 0.4765,
546
  "step": 3600
547
  },
548
  {
549
- "epoch": 19.733333333333334,
550
- "grad_norm": 1.6843740940093994,
551
  "learning_rate": 0.0001,
552
- "loss": 0.4735,
553
  "step": 3700
554
  },
555
  {
556
  "epoch": 20.0,
557
- "eval_accuracy": 0.5587692307692308,
558
- "eval_loss": 2.4269626140594482,
559
- "eval_runtime": 5.7798,
560
- "eval_samples_per_second": 86.508,
561
- "eval_steps_per_second": 10.9,
562
  "step": 3750
563
  },
564
  {
565
  "epoch": 20.0,
566
- "eval_exact_match": 16.0,
567
- "eval_f1": 23.713174603174604,
568
  "step": 3750
569
  },
570
  {
571
- "epoch": 20.266666666666666,
572
- "grad_norm": 0.6934134364128113,
573
  "learning_rate": 0.0001,
574
- "loss": 0.471,
575
  "step": 3800
576
  },
577
  {
578
  "epoch": 20.8,
579
- "grad_norm": 0.7414541244506836,
580
  "learning_rate": 0.0001,
581
- "loss": 0.4753,
582
  "step": 3900
583
  },
584
  {
585
- "epoch": 20.997333333333334,
586
- "eval_accuracy": 0.5592820512820513,
587
- "eval_loss": 2.4946200847625732,
588
- "eval_runtime": 5.5089,
589
- "eval_samples_per_second": 90.762,
590
- "eval_steps_per_second": 11.436,
591
  "step": 3937
592
  },
593
  {
594
- "epoch": 20.997333333333334,
595
- "eval_exact_match": 16.4,
596
- "eval_f1": 24.212222222222234,
597
  "step": 3937
598
  },
599
  {
600
- "epoch": 21.333333333333332,
601
- "grad_norm": 0.6189724206924438,
602
  "learning_rate": 0.0001,
603
- "loss": 0.465,
604
  "step": 4000
605
  },
606
  {
607
- "epoch": 21.866666666666667,
608
- "grad_norm": 0.724271297454834,
609
  "learning_rate": 0.0001,
610
- "loss": 0.4758,
611
  "step": 4100
612
  },
613
  {
614
  "epoch": 22.0,
615
- "eval_accuracy": 0.5568205128205128,
616
- "eval_loss": 2.4646029472351074,
617
- "eval_runtime": 4.9867,
618
- "eval_samples_per_second": 100.268,
619
- "eval_steps_per_second": 12.634,
620
  "step": 4125
621
  },
622
  {
623
  "epoch": 22.0,
624
- "eval_exact_match": 14.0,
625
- "eval_f1": 21.840793650793653,
626
  "step": 4125
627
  },
628
  {
629
  "epoch": 22.4,
630
- "grad_norm": 0.8124653100967407,
631
  "learning_rate": 0.0001,
632
- "loss": 0.4629,
633
  "step": 4200
634
  },
635
  {
636
- "epoch": 22.933333333333334,
637
- "grad_norm": 1.1330875158309937,
638
  "learning_rate": 0.0001,
639
- "loss": 0.4769,
640
  "step": 4300
641
  },
642
  {
643
- "epoch": 22.997333333333334,
644
- "eval_accuracy": 0.5572307692307692,
645
- "eval_loss": 2.4494264125823975,
646
- "eval_runtime": 5.7914,
647
- "eval_samples_per_second": 86.335,
648
- "eval_steps_per_second": 10.878,
649
  "step": 4312
650
  },
651
  {
652
- "epoch": 22.997333333333334,
653
- "eval_exact_match": 14.8,
654
- "eval_f1": 23.25746031746033,
655
  "step": 4312
656
  },
657
  {
658
- "epoch": 23.466666666666665,
659
- "grad_norm": 1.0306299924850464,
660
  "learning_rate": 0.0001,
661
- "loss": 0.4616,
662
  "step": 4400
663
  },
664
  {
665
  "epoch": 24.0,
666
- "grad_norm": 0.5557557940483093,
667
  "learning_rate": 0.0001,
668
- "loss": 0.4766,
669
  "step": 4500
670
  },
671
  {
672
  "epoch": 24.0,
673
- "eval_accuracy": 0.5583076923076923,
674
- "eval_loss": 2.464630365371704,
675
- "eval_runtime": 5.0419,
676
- "eval_samples_per_second": 99.17,
677
- "eval_steps_per_second": 12.495,
678
  "step": 4500
679
  },
680
  {
681
  "epoch": 24.0,
682
- "eval_exact_match": 15.0,
683
- "eval_f1": 23.326507936507948,
684
  "step": 4500
685
  },
686
  {
687
- "epoch": 24.533333333333335,
688
- "grad_norm": 0.6188230514526367,
689
  "learning_rate": 0.0001,
690
- "loss": 0.4588,
691
  "step": 4600
692
  },
693
  {
694
- "epoch": 24.997333333333334,
695
- "eval_accuracy": 0.5575897435897436,
696
- "eval_loss": 2.4749364852905273,
697
- "eval_runtime": 5.8046,
698
- "eval_samples_per_second": 86.139,
699
- "eval_steps_per_second": 10.854,
700
  "step": 4687
701
  },
702
  {
703
- "epoch": 24.997333333333334,
704
- "eval_exact_match": 15.4,
705
- "eval_f1": 23.709696969696974,
706
  "step": 4687
707
  },
708
  {
709
- "epoch": 25.066666666666666,
710
- "grad_norm": 0.5854879021644592,
711
  "learning_rate": 0.0001,
712
- "loss": 0.47,
713
  "step": 4700
714
  },
715
  {
716
  "epoch": 25.6,
717
- "grad_norm": 0.5842415690422058,
718
  "learning_rate": 0.0001,
719
- "loss": 0.4596,
720
  "step": 4800
721
  },
722
  {
723
  "epoch": 26.0,
724
- "eval_accuracy": 0.5573333333333333,
725
- "eval_loss": 2.4922566413879395,
726
- "eval_runtime": 5.1065,
727
- "eval_samples_per_second": 97.914,
728
- "eval_steps_per_second": 12.337,
729
  "step": 4875
730
  },
731
  {
732
  "epoch": 26.0,
733
- "eval_exact_match": 14.0,
734
- "eval_f1": 22.40301587301588,
735
  "step": 4875
736
  },
737
  {
738
- "epoch": 26.133333333333333,
739
- "grad_norm": 0.736111044883728,
740
  "learning_rate": 0.0001,
741
- "loss": 0.4699,
742
  "step": 4900
743
  },
744
  {
745
- "epoch": 26.666666666666668,
746
- "grad_norm": 0.6232179403305054,
747
  "learning_rate": 0.0001,
748
- "loss": 0.4618,
749
  "step": 5000
750
  },
751
  {
752
- "epoch": 26.997333333333334,
753
- "eval_accuracy": 0.558,
754
- "eval_loss": 2.454937696456909,
755
- "eval_runtime": 5.1785,
756
- "eval_samples_per_second": 96.553,
757
- "eval_steps_per_second": 12.166,
758
  "step": 5062
759
  },
760
  {
761
- "epoch": 26.997333333333334,
762
- "eval_exact_match": 14.4,
763
- "eval_f1": 23.143809523809526,
764
  "step": 5062
765
  },
766
  {
767
  "epoch": 27.2,
768
- "grad_norm": 0.6592839956283569,
769
  "learning_rate": 0.0001,
770
- "loss": 0.4626,
771
  "step": 5100
772
  },
773
  {
774
- "epoch": 27.733333333333334,
775
- "grad_norm": 0.5580378174781799,
776
  "learning_rate": 0.0001,
777
- "loss": 0.4646,
778
  "step": 5200
779
  },
780
  {
781
  "epoch": 28.0,
782
- "eval_accuracy": 0.5573333333333333,
783
- "eval_loss": 2.475144147872925,
784
- "eval_runtime": 5.7088,
785
- "eval_samples_per_second": 87.584,
786
- "eval_steps_per_second": 11.036,
787
  "step": 5250
788
  },
789
  {
790
  "epoch": 28.0,
791
- "eval_exact_match": 14.8,
792
- "eval_f1": 22.921428571428585,
793
  "step": 5250
794
  },
795
  {
796
- "epoch": 28.266666666666666,
797
- "grad_norm": 0.6161842346191406,
798
  "learning_rate": 0.0001,
799
- "loss": 0.4611,
800
  "step": 5300
801
  },
802
  {
803
  "epoch": 28.8,
804
- "grad_norm": 0.5740762948989868,
805
  "learning_rate": 0.0001,
806
- "loss": 0.4645,
807
  "step": 5400
808
  },
809
  {
810
- "epoch": 28.997333333333334,
811
- "eval_accuracy": 0.5574871794871795,
812
- "eval_loss": 2.5007574558258057,
813
- "eval_runtime": 5.7875,
814
- "eval_samples_per_second": 86.393,
815
- "eval_steps_per_second": 10.886,
816
  "step": 5437
817
  },
818
  {
819
- "epoch": 28.997333333333334,
820
- "eval_exact_match": 15.2,
821
- "eval_f1": 23.13380952380953,
822
  "step": 5437
823
  },
824
  {
825
- "epoch": 29.333333333333332,
826
- "grad_norm": 1.0054398775100708,
827
  "learning_rate": 0.0001,
828
- "loss": 0.4562,
829
  "step": 5500
830
  },
831
  {
832
- "epoch": 29.866666666666667,
833
- "grad_norm": 0.8751959800720215,
834
  "learning_rate": 0.0001,
835
- "loss": 0.4669,
836
  "step": 5600
837
  },
838
  {
839
  "epoch": 30.0,
840
- "eval_accuracy": 0.5561025641025641,
841
- "eval_loss": 2.482387065887451,
842
- "eval_runtime": 5.1096,
843
- "eval_samples_per_second": 97.855,
844
- "eval_steps_per_second": 12.33,
845
  "step": 5625
846
  },
847
  {
848
  "epoch": 30.0,
849
- "eval_exact_match": 15.6,
850
- "eval_f1": 23.701428571428576,
851
  "step": 5625
852
  },
853
  {
854
  "epoch": 30.4,
855
- "grad_norm": 0.6013503670692444,
856
  "learning_rate": 0.0001,
857
- "loss": 0.4536,
858
  "step": 5700
859
  },
860
  {
861
- "epoch": 30.933333333333334,
862
- "grad_norm": 0.559660792350769,
863
  "learning_rate": 0.0001,
864
- "loss": 0.4675,
865
  "step": 5800
866
  },
867
  {
868
- "epoch": 30.997333333333334,
869
- "eval_accuracy": 0.5568205128205128,
870
- "eval_loss": 2.4686777591705322,
871
- "eval_runtime": 5.4297,
872
- "eval_samples_per_second": 92.086,
873
- "eval_steps_per_second": 11.603,
874
  "step": 5812
875
  },
876
  {
877
- "epoch": 30.997333333333334,
878
- "eval_exact_match": 16.8,
879
- "eval_f1": 25.139682539682543,
880
  "step": 5812
881
  },
882
  {
883
- "epoch": 31.466666666666665,
884
- "grad_norm": 0.8210071921348572,
885
  "learning_rate": 0.0001,
886
- "loss": 0.4503,
887
  "step": 5900
888
  },
889
  {
890
  "epoch": 32.0,
891
- "grad_norm": 0.7878498435020447,
892
  "learning_rate": 0.0001,
893
- "loss": 0.4701,
894
  "step": 6000
895
  },
896
  {
897
  "epoch": 32.0,
898
- "eval_accuracy": 0.556923076923077,
899
- "eval_loss": 2.4814717769622803,
900
- "eval_runtime": 4.9983,
901
- "eval_samples_per_second": 100.033,
902
- "eval_steps_per_second": 12.604,
903
  "step": 6000
904
  },
905
  {
906
  "epoch": 32.0,
907
- "eval_exact_match": 16.2,
908
- "eval_f1": 24.101428571428585,
909
  "step": 6000
910
  },
911
  {
912
- "epoch": 32.53333333333333,
913
- "grad_norm": 0.6601159572601318,
914
  "learning_rate": 0.0001,
915
- "loss": 0.4504,
916
  "step": 6100
917
  },
918
  {
919
- "epoch": 32.99733333333333,
920
- "eval_accuracy": 0.5563589743589744,
921
- "eval_loss": 2.513813018798828,
922
- "eval_runtime": 5.3528,
923
- "eval_samples_per_second": 93.409,
924
- "eval_steps_per_second": 11.769,
925
  "step": 6187
926
  },
927
  {
928
- "epoch": 32.99733333333333,
929
- "eval_exact_match": 15.6,
930
- "eval_f1": 23.765714285714292,
931
  "step": 6187
932
  },
933
  {
934
- "epoch": 33.06666666666667,
935
- "grad_norm": 0.5784469842910767,
936
  "learning_rate": 0.0001,
937
- "loss": 0.4622,
938
  "step": 6200
939
  },
940
  {
941
  "epoch": 33.6,
942
- "grad_norm": 0.6005637645721436,
943
  "learning_rate": 0.0001,
944
- "loss": 0.4522,
945
  "step": 6300
946
  },
947
  {
948
  "epoch": 34.0,
949
- "eval_accuracy": 0.5565128205128205,
950
- "eval_loss": 2.504781723022461,
951
- "eval_runtime": 5.7399,
952
- "eval_samples_per_second": 87.109,
953
- "eval_steps_per_second": 10.976,
954
  "step": 6375
955
  },
956
  {
957
  "epoch": 34.0,
958
- "eval_exact_match": 14.2,
959
- "eval_f1": 23.09952380952382,
960
  "step": 6375
961
  },
962
  {
963
- "epoch": 34.13333333333333,
964
- "grad_norm": 0.5809851288795471,
965
  "learning_rate": 0.0001,
966
- "loss": 0.4607,
967
  "step": 6400
968
  },
969
  {
970
- "epoch": 34.666666666666664,
971
- "grad_norm": 0.6082825064659119,
972
  "learning_rate": 0.0001,
973
- "loss": 0.4526,
974
  "step": 6500
975
  },
976
  {
977
- "epoch": 34.99733333333333,
978
- "eval_accuracy": 0.5563589743589744,
979
- "eval_loss": 2.529914617538452,
980
- "eval_runtime": 5.3389,
981
- "eval_samples_per_second": 93.652,
982
- "eval_steps_per_second": 11.8,
983
  "step": 6562
984
  },
985
  {
986
- "epoch": 34.99733333333333,
987
- "eval_exact_match": 15.4,
988
- "eval_f1": 23.87190476190477,
989
  "step": 6562
990
  },
991
  {
992
  "epoch": 35.2,
993
- "grad_norm": 0.5042786002159119,
994
  "learning_rate": 0.0001,
995
- "loss": 0.4545,
996
  "step": 6600
997
  },
998
  {
999
- "epoch": 35.733333333333334,
1000
- "grad_norm": 0.8007566928863525,
1001
  "learning_rate": 0.0001,
1002
- "loss": 0.4558,
1003
  "step": 6700
1004
  },
1005
  {
1006
  "epoch": 36.0,
1007
- "eval_accuracy": 0.5582564102564103,
1008
- "eval_loss": 2.485551357269287,
1009
- "eval_runtime": 5.7241,
1010
- "eval_samples_per_second": 87.351,
1011
- "eval_steps_per_second": 11.006,
1012
  "step": 6750
1013
  },
1014
  {
1015
  "epoch": 36.0,
1016
- "eval_exact_match": 15.8,
1017
- "eval_f1": 23.60142857142858,
1018
  "step": 6750
1019
  },
1020
  {
1021
- "epoch": 36.266666666666666,
1022
- "grad_norm": 0.4920075535774231,
1023
  "learning_rate": 0.0001,
1024
- "loss": 0.452,
1025
  "step": 6800
1026
  },
1027
  {
1028
  "epoch": 36.8,
1029
- "grad_norm": 0.5003876686096191,
1030
  "learning_rate": 0.0001,
1031
- "loss": 0.458,
1032
  "step": 6900
1033
  },
1034
  {
1035
- "epoch": 36.99733333333333,
1036
- "eval_accuracy": 0.5572820512820513,
1037
- "eval_loss": 2.516226291656494,
1038
- "eval_runtime": 5.7691,
1039
- "eval_samples_per_second": 86.669,
1040
- "eval_steps_per_second": 10.92,
1041
  "step": 6937
1042
  },
1043
  {
1044
- "epoch": 36.99733333333333,
1045
- "eval_exact_match": 15.0,
1046
- "eval_f1": 22.680317460317468,
1047
  "step": 6937
1048
  },
1049
  {
1050
- "epoch": 37.333333333333336,
1051
- "grad_norm": 0.5616186261177063,
1052
  "learning_rate": 0.0001,
1053
- "loss": 0.4512,
1054
  "step": 7000
1055
  },
1056
  {
1057
- "epoch": 37.86666666666667,
1058
- "grad_norm": 0.5125617384910583,
1059
  "learning_rate": 0.0001,
1060
- "loss": 0.4597,
1061
  "step": 7100
1062
  },
1063
  {
1064
  "epoch": 38.0,
1065
- "eval_accuracy": 0.555025641025641,
1066
- "eval_loss": 2.5178050994873047,
1067
- "eval_runtime": 4.9917,
1068
- "eval_samples_per_second": 100.167,
1069
- "eval_steps_per_second": 12.621,
1070
  "step": 7125
1071
  },
1072
  {
1073
  "epoch": 38.0,
1074
- "eval_exact_match": 14.2,
1075
- "eval_f1": 21.111904761904768,
1076
  "step": 7125
1077
  },
1078
  {
1079
  "epoch": 38.4,
1080
- "grad_norm": 0.5520429015159607,
1081
  "learning_rate": 0.0001,
1082
- "loss": 0.4463,
1083
  "step": 7200
1084
  },
1085
  {
1086
- "epoch": 38.93333333333333,
1087
- "grad_norm": 0.630486249923706,
1088
  "learning_rate": 0.0001,
1089
- "loss": 0.4607,
1090
  "step": 7300
1091
  },
1092
  {
1093
- "epoch": 38.99733333333333,
1094
- "eval_accuracy": 0.5562051282051282,
1095
- "eval_loss": 2.5462260246276855,
1096
- "eval_runtime": 5.7594,
1097
- "eval_samples_per_second": 86.815,
1098
- "eval_steps_per_second": 10.939,
1099
  "step": 7312
1100
  },
1101
  {
1102
- "epoch": 38.99733333333333,
1103
- "eval_exact_match": 14.8,
1104
- "eval_f1": 22.822857142857156,
1105
  "step": 7312
1106
  },
1107
  {
1108
- "epoch": 39.46666666666667,
1109
- "grad_norm": 0.5777439475059509,
1110
  "learning_rate": 0.0001,
1111
- "loss": 0.4447,
1112
  "step": 7400
1113
  },
1114
  {
1115
  "epoch": 40.0,
1116
- "grad_norm": 0.5794367790222168,
1117
  "learning_rate": 0.0001,
1118
- "loss": 0.4614,
1119
  "step": 7500
1120
  },
1121
  {
1122
  "epoch": 40.0,
1123
- "eval_accuracy": 0.5564615384615385,
1124
- "eval_loss": 2.5492753982543945,
1125
- "eval_runtime": 4.9903,
1126
- "eval_samples_per_second": 100.194,
1127
- "eval_steps_per_second": 12.624,
1128
  "step": 7500
1129
  },
1130
  {
1131
  "epoch": 40.0,
1132
- "eval_exact_match": 15.0,
1133
- "eval_f1": 22.4652380952381,
1134
  "step": 7500
1135
  },
1136
  {
1137
- "epoch": 40.53333333333333,
1138
- "grad_norm": 0.5546026229858398,
1139
  "learning_rate": 0.0001,
1140
- "loss": 0.4449,
1141
  "step": 7600
1142
  },
1143
  {
1144
- "epoch": 40.99733333333333,
1145
- "eval_accuracy": 0.5558461538461539,
1146
- "eval_loss": 2.564469814300537,
1147
- "eval_runtime": 5.0211,
1148
- "eval_samples_per_second": 99.581,
1149
- "eval_steps_per_second": 12.547,
1150
  "step": 7687
1151
  },
1152
  {
1153
- "epoch": 40.99733333333333,
1154
- "eval_exact_match": 15.8,
1155
- "eval_f1": 23.358571428571434,
1156
  "step": 7687
1157
  },
1158
  {
1159
- "epoch": 41.06666666666667,
1160
- "grad_norm": 0.5399795770645142,
1161
  "learning_rate": 0.0001,
1162
- "loss": 0.4561,
1163
  "step": 7700
1164
  },
1165
  {
1166
  "epoch": 41.6,
1167
- "grad_norm": 0.5286694765090942,
1168
  "learning_rate": 0.0001,
1169
- "loss": 0.4472,
1170
  "step": 7800
1171
  },
1172
  {
1173
  "epoch": 42.0,
1174
- "eval_accuracy": 0.5548717948717948,
1175
- "eval_loss": 2.538248062133789,
1176
- "eval_runtime": 4.9877,
1177
- "eval_samples_per_second": 100.246,
1178
- "eval_steps_per_second": 12.631,
1179
  "step": 7875
1180
  },
1181
  {
1182
  "epoch": 42.0,
1183
- "eval_exact_match": 14.2,
1184
- "eval_f1": 22.103809523809534,
1185
  "step": 7875
1186
  },
1187
  {
1188
- "epoch": 42.13333333333333,
1189
- "grad_norm": 0.7045392990112305,
1190
  "learning_rate": 0.0001,
1191
- "loss": 0.4588,
1192
  "step": 7900
1193
  },
1194
  {
1195
- "epoch": 42.666666666666664,
1196
- "grad_norm": 0.7843219637870789,
1197
  "learning_rate": 0.0001,
1198
- "loss": 0.4549,
1199
  "step": 8000
1200
  },
1201
  {
1202
- "epoch": 42.99733333333333,
1203
- "eval_accuracy": 0.554974358974359,
1204
- "eval_loss": 2.55190110206604,
1205
- "eval_runtime": 5.0951,
1206
- "eval_samples_per_second": 98.134,
1207
- "eval_steps_per_second": 12.365,
1208
  "step": 8062
1209
  },
1210
  {
1211
- "epoch": 42.99733333333333,
1212
- "eval_exact_match": 14.6,
1213
- "eval_f1": 22.485714285714288,
1214
  "step": 8062
1215
  }
1216
  ],
1217
  "logging_steps": 100,
1218
  "max_steps": 9350,
1219
- "num_input_tokens_seen": 0,
1220
  "num_train_epochs": 50,
1221
  "save_steps": 500,
1222
- "stateful_callbacks": {
1223
- "TrainerControl": {
1224
- "args": {
1225
- "should_epoch_stop": false,
1226
- "should_evaluate": false,
1227
- "should_log": false,
1228
- "should_save": true,
1229
- "should_training_stop": false
1230
- },
1231
- "attributes": {}
1232
- }
1233
- },
1234
- "total_flos": 1.476975114972037e+17,
1235
- "train_batch_size": 2,
1236
  "trial_name": null,
1237
  "trial_params": null
1238
  }
 
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
+ "epoch": 0.53,
 
13
  "learning_rate": 0.0001,
14
+ "loss": 1.598,
15
  "step": 100
16
  },
17
  {
18
+ "epoch": 1.0,
19
+ "eval_accuracy": 0.6146666666666667,
20
+ "eval_loss": 1.2691738605499268,
21
+ "eval_runtime": 4.3939,
22
+ "eval_samples_per_second": 113.793,
23
+ "eval_steps_per_second": 14.338,
24
  "step": 187
25
  },
26
  {
27
+ "epoch": 1.0,
28
+ "eval_exact_match": 24.8,
29
+ "eval_f1": 38.10857142857143,
30
  "step": 187
31
  },
32
  {
33
+ "epoch": 1.07,
 
34
  "learning_rate": 0.0001,
35
+ "loss": 1.2894,
36
  "step": 200
37
  },
38
  {
39
  "epoch": 1.6,
 
40
  "learning_rate": 0.0001,
41
+ "loss": 1.1923,
42
  "step": 300
43
  },
44
  {
45
  "epoch": 2.0,
46
+ "eval_accuracy": 0.6175897435897436,
47
+ "eval_loss": 1.2732893228530884,
48
+ "eval_runtime": 4.5482,
49
+ "eval_samples_per_second": 109.934,
50
+ "eval_steps_per_second": 13.852,
51
  "step": 375
52
  },
53
  {
54
  "epoch": 2.0,
55
+ "eval_exact_match": 25.6,
56
+ "eval_f1": 39.04746031746033,
57
  "step": 375
58
  },
59
  {
60
+ "epoch": 2.13,
 
61
  "learning_rate": 0.0001,
62
+ "loss": 1.1174,
63
  "step": 400
64
  },
65
  {
66
+ "epoch": 2.67,
 
67
  "learning_rate": 0.0001,
68
+ "loss": 0.9732,
69
  "step": 500
70
  },
71
  {
72
+ "epoch": 3.0,
73
+ "eval_accuracy": 0.6135897435897436,
74
+ "eval_loss": 1.33958101272583,
75
+ "eval_runtime": 4.0988,
76
+ "eval_samples_per_second": 121.986,
77
+ "eval_steps_per_second": 15.37,
78
  "step": 562
79
  },
80
  {
81
+ "epoch": 3.0,
82
+ "eval_exact_match": 25.4,
83
+ "eval_f1": 37.65698412698413,
84
  "step": 562
85
  },
86
  {
87
  "epoch": 3.2,
 
88
  "learning_rate": 0.0001,
89
+ "loss": 0.9111,
90
  "step": 600
91
  },
92
  {
93
+ "epoch": 3.73,
 
94
  "learning_rate": 0.0001,
95
+ "loss": 0.7763,
96
  "step": 700
97
  },
98
  {
99
  "epoch": 4.0,
100
+ "eval_accuracy": 0.6104102564102564,
101
+ "eval_loss": 1.4358161687850952,
102
+ "eval_runtime": 4.4028,
103
+ "eval_samples_per_second": 113.565,
104
+ "eval_steps_per_second": 14.309,
105
  "step": 750
106
  },
107
  {
108
  "epoch": 4.0,
109
+ "eval_exact_match": 25.2,
110
+ "eval_f1": 37.8809523809524,
111
  "step": 750
112
  },
113
  {
114
+ "epoch": 4.27,
 
115
  "learning_rate": 0.0001,
116
+ "loss": 0.7118,
117
  "step": 800
118
  },
119
  {
120
  "epoch": 4.8,
 
121
  "learning_rate": 0.0001,
122
+ "loss": 0.6498,
123
  "step": 900
124
  },
125
  {
126
+ "epoch": 5.0,
127
+ "eval_accuracy": 0.6051794871794872,
128
+ "eval_loss": 1.5630384683609009,
129
+ "eval_runtime": 4.1079,
130
+ "eval_samples_per_second": 121.717,
131
+ "eval_steps_per_second": 15.336,
132
  "step": 937
133
  },
134
  {
135
+ "epoch": 5.0,
136
+ "eval_exact_match": 23.4,
137
+ "eval_f1": 35.55111111111113,
138
  "step": 937
139
  },
140
  {
141
+ "epoch": 5.33,
 
142
  "learning_rate": 0.0001,
143
+ "loss": 0.5911,
144
  "step": 1000
145
  },
146
  {
147
+ "epoch": 5.87,
 
148
  "learning_rate": 0.0001,
149
+ "loss": 0.57,
150
  "step": 1100
151
  },
152
  {
153
  "epoch": 6.0,
154
+ "eval_accuracy": 0.6031282051282051,
155
+ "eval_loss": 1.6599360704421997,
156
+ "eval_runtime": 4.2005,
157
+ "eval_samples_per_second": 119.033,
158
+ "eval_steps_per_second": 14.998,
159
  "step": 1125
160
  },
161
  {
162
  "epoch": 6.0,
163
+ "eval_exact_match": 22.6,
164
+ "eval_f1": 34.44650793650795,
165
  "step": 1125
166
  },
167
  {
168
  "epoch": 6.4,
 
169
  "learning_rate": 0.0001,
170
+ "loss": 0.517,
171
  "step": 1200
172
  },
173
  {
174
+ "epoch": 6.93,
 
175
  "learning_rate": 0.0001,
176
+ "loss": 0.5253,
177
  "step": 1300
178
  },
179
  {
180
+ "epoch": 7.0,
181
+ "eval_accuracy": 0.6027179487179487,
182
+ "eval_loss": 1.7479698657989502,
183
+ "eval_runtime": 4.4276,
184
+ "eval_samples_per_second": 112.929,
185
+ "eval_steps_per_second": 14.229,
186
  "step": 1312
187
  },
188
  {
189
+ "epoch": 7.0,
190
+ "eval_exact_match": 22.2,
191
+ "eval_f1": 33.87303030303032,
192
  "step": 1312
193
  },
194
  {
195
+ "epoch": 7.47,
 
196
  "learning_rate": 0.0001,
197
+ "loss": 0.4784,
198
  "step": 1400
199
  },
200
  {
201
  "epoch": 8.0,
 
202
  "learning_rate": 0.0001,
203
+ "loss": 0.4958,
204
  "step": 1500
205
  },
206
  {
207
  "epoch": 8.0,
208
+ "eval_accuracy": 0.602051282051282,
209
+ "eval_loss": 1.8059930801391602,
210
+ "eval_runtime": 4.1898,
211
+ "eval_samples_per_second": 119.337,
212
+ "eval_steps_per_second": 15.036,
213
  "step": 1500
214
  },
215
  {
216
  "epoch": 8.0,
217
+ "eval_exact_match": 21.8,
218
+ "eval_f1": 32.95365079365081,
219
  "step": 1500
220
  },
221
  {
222
+ "epoch": 8.53,
 
223
  "learning_rate": 0.0001,
224
+ "loss": 0.4521,
225
  "step": 1600
226
  },
227
  {
228
+ "epoch": 9.0,
229
+ "eval_accuracy": 0.6013333333333334,
230
+ "eval_loss": 1.8598920106887817,
231
+ "eval_runtime": 4.9021,
232
+ "eval_samples_per_second": 101.996,
233
+ "eval_steps_per_second": 12.852,
234
  "step": 1687
235
  },
236
  {
237
+ "epoch": 9.0,
238
+ "eval_exact_match": 22.6,
239
+ "eval_f1": 33.89858585858587,
240
  "step": 1687
241
  },
242
  {
243
+ "epoch": 9.07,
 
244
  "learning_rate": 0.0001,
245
+ "loss": 0.4694,
246
  "step": 1700
247
  },
248
  {
249
  "epoch": 9.6,
 
250
  "learning_rate": 0.0001,
251
+ "loss": 0.443,
252
  "step": 1800
253
  },
254
  {
255
  "epoch": 10.0,
256
+ "eval_accuracy": 0.6013333333333334,
257
+ "eval_loss": 1.9468085765838623,
258
+ "eval_runtime": 4.4033,
259
+ "eval_samples_per_second": 113.552,
260
+ "eval_steps_per_second": 14.308,
261
  "step": 1875
262
  },
263
  {
264
  "epoch": 10.0,
265
+ "eval_exact_match": 21.8,
266
+ "eval_f1": 32.7704761904762,
267
  "step": 1875
268
  },
269
  {
270
+ "epoch": 10.13,
 
271
  "learning_rate": 0.0001,
272
+ "loss": 0.4513,
273
  "step": 1900
274
  },
275
  {
276
+ "epoch": 10.67,
 
277
  "learning_rate": 0.0001,
278
+ "loss": 0.439,
279
  "step": 2000
280
  },
281
  {
282
+ "epoch": 11.0,
283
+ "eval_accuracy": 0.6014871794871794,
284
+ "eval_loss": 1.9500343799591064,
285
+ "eval_runtime": 4.0917,
286
+ "eval_samples_per_second": 122.197,
287
+ "eval_steps_per_second": 15.397,
288
  "step": 2062
289
  },
290
  {
291
+ "epoch": 11.0,
292
+ "eval_exact_match": 22.4,
293
+ "eval_f1": 33.80857142857144,
294
  "step": 2062
295
  },
296
  {
297
  "epoch": 11.2,
 
298
  "learning_rate": 0.0001,
299
+ "loss": 0.4372,
300
  "step": 2100
301
  },
302
  {
303
+ "epoch": 11.73,
 
304
  "learning_rate": 0.0001,
305
+ "loss": 0.433,
306
  "step": 2200
307
  },
308
  {
309
  "epoch": 12.0,
310
+ "eval_accuracy": 0.6021025641025641,
311
+ "eval_loss": 1.9103901386260986,
312
+ "eval_runtime": 4.4069,
313
+ "eval_samples_per_second": 113.459,
314
+ "eval_steps_per_second": 14.296,
315
  "step": 2250
316
  },
317
  {
318
  "epoch": 12.0,
319
+ "eval_exact_match": 21.4,
320
+ "eval_f1": 33.23952380952382,
321
  "step": 2250
322
  },
323
  {
324
+ "epoch": 12.27,
 
325
  "learning_rate": 0.0001,
326
+ "loss": 0.4301,
327
  "step": 2300
328
  },
329
  {
330
  "epoch": 12.8,
 
331
  "learning_rate": 0.0001,
332
+ "loss": 0.4323,
333
  "step": 2400
334
  },
335
  {
336
+ "epoch": 13.0,
337
+ "eval_accuracy": 0.6001025641025641,
338
+ "eval_loss": 2.0078930854797363,
339
+ "eval_runtime": 4.1244,
340
+ "eval_samples_per_second": 121.229,
341
+ "eval_steps_per_second": 15.275,
342
  "step": 2437
343
  },
344
  {
345
+ "epoch": 13.0,
346
+ "eval_exact_match": 21.6,
347
+ "eval_f1": 33.54033189033191,
348
  "step": 2437
349
  },
350
  {
351
+ "epoch": 13.33,
 
352
  "learning_rate": 0.0001,
353
+ "loss": 0.4231,
354
  "step": 2500
355
  },
356
  {
357
+ "epoch": 13.87,
 
358
  "learning_rate": 0.0001,
359
+ "loss": 0.4281,
360
  "step": 2600
361
  },
362
  {
363
  "epoch": 14.0,
364
+ "eval_accuracy": 0.6007692307692307,
365
+ "eval_loss": 1.9881398677825928,
366
+ "eval_runtime": 4.4077,
367
+ "eval_samples_per_second": 113.439,
368
+ "eval_steps_per_second": 14.293,
369
  "step": 2625
370
  },
371
  {
372
  "epoch": 14.0,
373
+ "eval_exact_match": 23.0,
374
+ "eval_f1": 34.730952380952395,
375
  "step": 2625
376
  },
377
  {
378
  "epoch": 14.4,
 
379
  "learning_rate": 0.0001,
380
+ "loss": 0.4184,
381
  "step": 2700
382
  },
383
  {
384
+ "epoch": 14.93,
 
385
  "learning_rate": 0.0001,
386
+ "loss": 0.4277,
387
  "step": 2800
388
  },
389
  {
390
+ "epoch": 15.0,
391
+ "eval_accuracy": 0.6005128205128205,
392
+ "eval_loss": 2.0305135250091553,
393
+ "eval_runtime": 4.4217,
394
+ "eval_samples_per_second": 113.079,
395
+ "eval_steps_per_second": 14.248,
396
  "step": 2812
397
  },
398
  {
399
+ "epoch": 15.0,
400
+ "eval_exact_match": 21.2,
401
+ "eval_f1": 33.533492063492076,
402
  "step": 2812
403
  },
404
  {
405
+ "epoch": 15.47,
 
406
  "learning_rate": 0.0001,
407
+ "loss": 0.4105,
408
  "step": 2900
409
  },
410
  {
411
  "epoch": 16.0,
 
412
  "learning_rate": 0.0001,
413
+ "loss": 0.4298,
414
  "step": 3000
415
  },
416
  {
417
  "epoch": 16.0,
418
+ "eval_accuracy": 0.6004615384615385,
419
+ "eval_loss": 2.0478391647338867,
420
+ "eval_runtime": 4.1977,
421
+ "eval_samples_per_second": 119.112,
422
+ "eval_steps_per_second": 15.008,
423
  "step": 3000
424
  },
425
  {
426
  "epoch": 16.0,
427
+ "eval_exact_match": 21.6,
428
+ "eval_f1": 33.046031746031765,
429
  "step": 3000
430
  },
431
  {
432
+ "epoch": 16.53,
 
433
  "learning_rate": 0.0001,
434
+ "loss": 0.4082,
435
  "step": 3100
436
  },
437
  {
438
+ "epoch": 17.0,
439
+ "eval_accuracy": 0.6006666666666667,
440
+ "eval_loss": 2.053948163986206,
441
+ "eval_runtime": 4.2197,
442
+ "eval_samples_per_second": 118.491,
443
+ "eval_steps_per_second": 14.93,
444
  "step": 3187
445
  },
446
  {
447
+ "epoch": 17.0,
448
+ "eval_exact_match": 21.8,
449
+ "eval_f1": 33.470476190476205,
450
  "step": 3187
451
  },
452
  {
453
+ "epoch": 17.07,
 
454
  "learning_rate": 0.0001,
455
+ "loss": 0.4223,
456
  "step": 3200
457
  },
458
  {
459
  "epoch": 17.6,
 
460
  "learning_rate": 0.0001,
461
+ "loss": 0.411,
462
  "step": 3300
463
  },
464
  {
465
  "epoch": 18.0,
466
+ "eval_accuracy": 0.6004615384615385,
467
+ "eval_loss": 2.031390905380249,
468
+ "eval_runtime": 4.461,
469
+ "eval_samples_per_second": 112.081,
470
+ "eval_steps_per_second": 14.122,
471
  "step": 3375
472
  },
473
  {
474
  "epoch": 18.0,
475
+ "eval_exact_match": 21.6,
476
+ "eval_f1": 32.86714285714286,
477
  "step": 3375
478
  },
479
  {
480
+ "epoch": 18.13,
 
481
  "learning_rate": 0.0001,
482
+ "loss": 0.4178,
483
  "step": 3400
484
  },
485
  {
486
+ "epoch": 18.67,
 
487
  "learning_rate": 0.0001,
488
+ "loss": 0.4113,
489
  "step": 3500
490
  },
491
  {
492
+ "epoch": 19.0,
493
+ "eval_accuracy": 0.6011282051282051,
494
+ "eval_loss": 2.0367722511291504,
495
+ "eval_runtime": 4.8193,
496
+ "eval_samples_per_second": 103.749,
497
+ "eval_steps_per_second": 13.072,
498
  "step": 3562
499
  },
500
  {
501
+ "epoch": 19.0,
502
+ "eval_exact_match": 22.4,
503
+ "eval_f1": 33.90603174603176,
504
  "step": 3562
505
  },
506
  {
507
  "epoch": 19.2,
 
508
  "learning_rate": 0.0001,
509
+ "loss": 0.4111,
510
  "step": 3600
511
  },
512
  {
513
+ "epoch": 19.73,
 
514
  "learning_rate": 0.0001,
515
+ "loss": 0.4121,
516
  "step": 3700
517
  },
518
  {
519
  "epoch": 20.0,
520
+ "eval_accuracy": 0.6016923076923076,
521
+ "eval_loss": 2.102205514907837,
522
+ "eval_runtime": 4.1919,
523
+ "eval_samples_per_second": 119.279,
524
+ "eval_steps_per_second": 15.029,
525
  "step": 3750
526
  },
527
  {
528
  "epoch": 20.0,
529
+ "eval_exact_match": 20.6,
530
+ "eval_f1": 32.77507936507938,
531
  "step": 3750
532
  },
533
  {
534
+ "epoch": 20.27,
 
535
  "learning_rate": 0.0001,
536
+ "loss": 0.41,
537
  "step": 3800
538
  },
539
  {
540
  "epoch": 20.8,
 
541
  "learning_rate": 0.0001,
542
+ "loss": 0.414,
543
  "step": 3900
544
  },
545
  {
546
+ "epoch": 21.0,
547
+ "eval_accuracy": 0.6006666666666667,
548
+ "eval_loss": 2.0511531829833984,
549
+ "eval_runtime": 4.5241,
550
+ "eval_samples_per_second": 110.519,
551
+ "eval_steps_per_second": 13.925,
552
  "step": 3937
553
  },
554
  {
555
+ "epoch": 21.0,
556
+ "eval_exact_match": 21.2,
557
+ "eval_f1": 33.08360195360196,
558
  "step": 3937
559
  },
560
  {
561
+ "epoch": 21.33,
 
562
  "learning_rate": 0.0001,
563
+ "loss": 0.4081,
564
  "step": 4000
565
  },
566
  {
567
+ "epoch": 21.87,
 
568
  "learning_rate": 0.0001,
569
+ "loss": 0.4163,
570
  "step": 4100
571
  },
572
  {
573
  "epoch": 22.0,
574
+ "eval_accuracy": 0.6015897435897436,
575
+ "eval_loss": 2.114720106124878,
576
+ "eval_runtime": 4.8019,
577
+ "eval_samples_per_second": 104.126,
578
+ "eval_steps_per_second": 13.12,
579
  "step": 4125
580
  },
581
  {
582
  "epoch": 22.0,
583
+ "eval_exact_match": 22.8,
584
+ "eval_f1": 34.690000000000005,
585
  "step": 4125
586
  },
587
  {
588
  "epoch": 22.4,
 
589
  "learning_rate": 0.0001,
590
+ "loss": 0.402,
591
  "step": 4200
592
  },
593
  {
594
+ "epoch": 22.93,
 
595
  "learning_rate": 0.0001,
596
+ "loss": 0.4172,
597
  "step": 4300
598
  },
599
  {
600
+ "epoch": 23.0,
601
+ "eval_accuracy": 0.6007179487179487,
602
+ "eval_loss": 2.094172954559326,
603
+ "eval_runtime": 4.8193,
604
+ "eval_samples_per_second": 103.75,
605
+ "eval_steps_per_second": 13.073,
606
  "step": 4312
607
  },
608
  {
609
+ "epoch": 23.0,
610
+ "eval_exact_match": 21.6,
611
+ "eval_f1": 33.82884004884006,
612
  "step": 4312
613
  },
614
  {
615
+ "epoch": 23.47,
 
616
  "learning_rate": 0.0001,
617
+ "loss": 0.4018,
618
  "step": 4400
619
  },
620
  {
621
  "epoch": 24.0,
 
622
  "learning_rate": 0.0001,
623
+ "loss": 0.4156,
624
  "step": 4500
625
  },
626
  {
627
  "epoch": 24.0,
628
+ "eval_accuracy": 0.6007692307692307,
629
+ "eval_loss": 2.1200733184814453,
630
+ "eval_runtime": 4.0917,
631
+ "eval_samples_per_second": 122.197,
632
+ "eval_steps_per_second": 15.397,
633
  "step": 4500
634
  },
635
  {
636
  "epoch": 24.0,
637
+ "eval_exact_match": 22.2,
638
+ "eval_f1": 35.02444444444445,
639
  "step": 4500
640
  },
641
  {
642
+ "epoch": 24.53,
 
643
  "learning_rate": 0.0001,
644
+ "loss": 0.3997,
645
  "step": 4600
646
  },
647
  {
648
+ "epoch": 25.0,
649
+ "eval_accuracy": 0.601025641025641,
650
+ "eval_loss": 2.065951347351074,
651
+ "eval_runtime": 4.4048,
652
+ "eval_samples_per_second": 113.512,
653
+ "eval_steps_per_second": 14.302,
654
  "step": 4687
655
  },
656
  {
657
+ "epoch": 25.0,
658
+ "eval_exact_match": 22.0,
659
+ "eval_f1": 33.90190476190476,
660
  "step": 4687
661
  },
662
  {
663
+ "epoch": 25.07,
 
664
  "learning_rate": 0.0001,
665
+ "loss": 0.4127,
666
  "step": 4700
667
  },
668
  {
669
  "epoch": 25.6,
 
670
  "learning_rate": 0.0001,
671
+ "loss": 0.3994,
672
  "step": 4800
673
  },
674
  {
675
  "epoch": 26.0,
676
+ "eval_accuracy": 0.6005641025641025,
677
+ "eval_loss": 2.0832056999206543,
678
+ "eval_runtime": 4.587,
679
+ "eval_samples_per_second": 109.003,
680
+ "eval_steps_per_second": 13.734,
681
  "step": 4875
682
  },
683
  {
684
  "epoch": 26.0,
685
+ "eval_exact_match": 22.0,
686
+ "eval_f1": 33.120952380952374,
687
  "step": 4875
688
  },
689
  {
690
+ "epoch": 26.13,
 
691
  "learning_rate": 0.0001,
692
+ "loss": 0.4109,
693
  "step": 4900
694
  },
695
  {
696
+ "epoch": 26.67,
 
697
  "learning_rate": 0.0001,
698
+ "loss": 0.4032,
699
  "step": 5000
700
  },
701
  {
702
+ "epoch": 27.0,
703
+ "eval_accuracy": 0.6003076923076923,
704
+ "eval_loss": 2.1423139572143555,
705
+ "eval_runtime": 4.0933,
706
+ "eval_samples_per_second": 122.15,
707
+ "eval_steps_per_second": 15.391,
708
  "step": 5062
709
  },
710
  {
711
+ "epoch": 27.0,
712
+ "eval_exact_match": 22.4,
713
+ "eval_f1": 33.54269841269841,
714
  "step": 5062
715
  },
716
  {
717
  "epoch": 27.2,
 
718
  "learning_rate": 0.0001,
719
+ "loss": 0.4064,
720
  "step": 5100
721
  },
722
  {
723
+ "epoch": 27.73,
 
724
  "learning_rate": 0.0001,
725
+ "loss": 0.4058,
726
  "step": 5200
727
  },
728
  {
729
  "epoch": 28.0,
730
+ "eval_accuracy": 0.6014871794871794,
731
+ "eval_loss": 2.1000020503997803,
732
+ "eval_runtime": 4.1975,
733
+ "eval_samples_per_second": 119.119,
734
+ "eval_steps_per_second": 15.009,
735
  "step": 5250
736
  },
737
  {
738
  "epoch": 28.0,
739
+ "eval_exact_match": 21.8,
740
+ "eval_f1": 33.625555555555565,
741
  "step": 5250
742
  },
743
  {
744
+ "epoch": 28.27,
 
745
  "learning_rate": 0.0001,
746
+ "loss": 0.4026,
747
  "step": 5300
748
  },
749
  {
750
  "epoch": 28.8,
 
751
  "learning_rate": 0.0001,
752
+ "loss": 0.4065,
753
  "step": 5400
754
  },
755
  {
756
+ "epoch": 29.0,
757
+ "eval_accuracy": 0.6009230769230769,
758
+ "eval_loss": 2.1064789295196533,
759
+ "eval_runtime": 4.3996,
760
+ "eval_samples_per_second": 113.646,
761
+ "eval_steps_per_second": 14.319,
762
  "step": 5437
763
  },
764
  {
765
+ "epoch": 29.0,
766
+ "eval_exact_match": 20.2,
767
+ "eval_f1": 32.787330447330454,
768
  "step": 5437
769
  },
770
  {
771
+ "epoch": 29.33,
 
772
  "learning_rate": 0.0001,
773
+ "loss": 0.4021,
774
  "step": 5500
775
  },
776
  {
777
+ "epoch": 29.87,
 
778
  "learning_rate": 0.0001,
779
+ "loss": 0.4068,
780
  "step": 5600
781
  },
782
  {
783
  "epoch": 30.0,
784
+ "eval_accuracy": 0.6006153846153847,
785
+ "eval_loss": 2.138920307159424,
786
+ "eval_runtime": 4.8054,
787
+ "eval_samples_per_second": 104.049,
788
+ "eval_steps_per_second": 13.11,
789
  "step": 5625
790
  },
791
  {
792
  "epoch": 30.0,
793
+ "eval_exact_match": 22.2,
794
+ "eval_f1": 34.06333333333334,
795
  "step": 5625
796
  },
797
  {
798
  "epoch": 30.4,
 
799
  "learning_rate": 0.0001,
800
+ "loss": 0.3984,
801
  "step": 5700
802
  },
803
  {
804
+ "epoch": 30.93,
 
805
  "learning_rate": 0.0001,
806
+ "loss": 0.4091,
807
  "step": 5800
808
  },
809
  {
810
+ "epoch": 31.0,
811
+ "eval_accuracy": 0.6004615384615385,
812
+ "eval_loss": 2.1240592002868652,
813
+ "eval_runtime": 4.7802,
814
+ "eval_samples_per_second": 104.598,
815
+ "eval_steps_per_second": 13.179,
816
  "step": 5812
817
  },
818
  {
819
+ "epoch": 31.0,
820
+ "eval_exact_match": 19.6,
821
+ "eval_f1": 32.183333333333344,
822
  "step": 5812
823
  },
824
  {
825
+ "epoch": 31.47,
 
826
  "learning_rate": 0.0001,
827
+ "loss": 0.398,
828
  "step": 5900
829
  },
830
  {
831
  "epoch": 32.0,
 
832
  "learning_rate": 0.0001,
833
+ "loss": 0.4103,
834
  "step": 6000
835
  },
836
  {
837
  "epoch": 32.0,
838
+ "eval_accuracy": 0.601025641025641,
839
+ "eval_loss": 2.1240859031677246,
840
+ "eval_runtime": 4.2046,
841
+ "eval_samples_per_second": 118.918,
842
+ "eval_steps_per_second": 14.984,
843
  "step": 6000
844
  },
845
  {
846
  "epoch": 32.0,
847
+ "eval_exact_match": 14.6,
848
+ "eval_f1": 24.464480519480528,
849
  "step": 6000
850
  },
851
  {
852
+ "epoch": 32.53,
 
853
  "learning_rate": 0.0001,
854
+ "loss": 0.3959,
855
  "step": 6100
856
  },
857
  {
858
+ "epoch": 33.0,
859
+ "eval_accuracy": 0.6021025641025641,
860
+ "eval_loss": 2.1205942630767822,
861
+ "eval_runtime": 4.0969,
862
+ "eval_samples_per_second": 122.043,
863
+ "eval_steps_per_second": 15.377,
864
  "step": 6187
865
  },
866
  {
867
+ "epoch": 33.0,
868
+ "eval_exact_match": 5.2,
869
+ "eval_f1": 9.914294948434568,
870
  "step": 6187
871
  },
872
  {
873
+ "epoch": 33.07,
 
874
  "learning_rate": 0.0001,
875
+ "loss": 0.4074,
876
  "step": 6200
877
  },
878
  {
879
  "epoch": 33.6,
 
880
  "learning_rate": 0.0001,
881
+ "loss": 0.3974,
882
  "step": 6300
883
  },
884
  {
885
  "epoch": 34.0,
886
+ "eval_accuracy": 0.6017435897435898,
887
+ "eval_loss": 2.106126308441162,
888
+ "eval_runtime": 4.417,
889
+ "eval_samples_per_second": 113.199,
890
+ "eval_steps_per_second": 14.263,
891
  "step": 6375
892
  },
893
  {
894
  "epoch": 34.0,
895
+ "eval_exact_match": 11.0,
896
+ "eval_f1": 16.971111111111124,
897
  "step": 6375
898
  },
899
  {
900
+ "epoch": 34.13,
 
901
  "learning_rate": 0.0001,
902
+ "loss": 0.4037,
903
  "step": 6400
904
  },
905
  {
906
+ "epoch": 34.67,
 
907
  "learning_rate": 0.0001,
908
+ "loss": 0.3983,
909
  "step": 6500
910
  },
911
  {
912
+ "epoch": 35.0,
913
+ "eval_accuracy": 0.6012820512820513,
914
+ "eval_loss": 2.1041135787963867,
915
+ "eval_runtime": 4.1955,
916
+ "eval_samples_per_second": 119.176,
917
+ "eval_steps_per_second": 15.016,
918
  "step": 6562
919
  },
920
  {
921
+ "epoch": 35.0,
922
+ "eval_exact_match": 7.8,
923
+ "eval_f1": 12.592722468631077,
924
  "step": 6562
925
  },
926
  {
927
  "epoch": 35.2,
 
928
  "learning_rate": 0.0001,
929
+ "loss": 0.4027,
930
  "step": 6600
931
  },
932
  {
933
+ "epoch": 35.73,
 
934
  "learning_rate": 0.0001,
935
+ "loss": 0.4034,
936
  "step": 6700
937
  },
938
  {
939
  "epoch": 36.0,
940
+ "eval_accuracy": 0.6017435897435898,
941
+ "eval_loss": 2.0842514038085938,
942
+ "eval_runtime": 4.4017,
943
+ "eval_samples_per_second": 113.592,
944
+ "eval_steps_per_second": 14.313,
945
  "step": 6750
946
  },
947
  {
948
  "epoch": 36.0,
949
+ "eval_exact_match": 0.4,
950
+ "eval_f1": 1.2985909338645831,
951
  "step": 6750
952
  },
953
  {
954
+ "epoch": 36.27,
 
955
  "learning_rate": 0.0001,
956
+ "loss": 0.4007,
957
  "step": 6800
958
  },
959
  {
960
  "epoch": 36.8,
 
961
  "learning_rate": 0.0001,
962
+ "loss": 0.4035,
963
  "step": 6900
964
  },
965
  {
966
+ "epoch": 37.0,
967
+ "eval_accuracy": 0.6034871794871794,
968
+ "eval_loss": 2.083721876144409,
969
+ "eval_runtime": 4.2147,
970
+ "eval_samples_per_second": 118.633,
971
+ "eval_steps_per_second": 14.948,
972
  "step": 6937
973
  },
974
  {
975
+ "epoch": 37.0,
976
+ "eval_exact_match": 13.2,
977
+ "eval_f1": 19.512857142857147,
978
  "step": 6937
979
  },
980
  {
981
+ "epoch": 37.33,
 
982
  "learning_rate": 0.0001,
983
+ "loss": 0.4285,
984
  "step": 7000
985
  },
986
  {
987
+ "epoch": 37.87,
 
988
  "learning_rate": 0.0001,
989
+ "loss": 0.4013,
990
  "step": 7100
991
  },
992
  {
993
  "epoch": 38.0,
994
+ "eval_accuracy": 0.6014871794871794,
995
+ "eval_loss": 2.1708192825317383,
996
+ "eval_runtime": 4.195,
997
+ "eval_samples_per_second": 119.189,
998
+ "eval_steps_per_second": 15.018,
999
  "step": 7125
1000
  },
1001
  {
1002
  "epoch": 38.0,
1003
+ "eval_exact_match": 0.2,
1004
+ "eval_f1": 2.2475702075702073,
1005
  "step": 7125
1006
  },
1007
  {
1008
  "epoch": 38.4,
 
1009
  "learning_rate": 0.0001,
1010
+ "loss": 0.3944,
1011
  "step": 7200
1012
  },
1013
  {
1014
+ "epoch": 38.93,
 
1015
  "learning_rate": 0.0001,
1016
+ "loss": 0.4063,
1017
  "step": 7300
1018
  },
1019
  {
1020
+ "epoch": 39.0,
1021
+ "eval_accuracy": 0.602,
1022
+ "eval_loss": 2.094609260559082,
1023
+ "eval_runtime": 4.1702,
1024
+ "eval_samples_per_second": 119.897,
1025
+ "eval_steps_per_second": 15.107,
1026
  "step": 7312
1027
  },
1028
  {
1029
+ "epoch": 39.0,
1030
+ "eval_exact_match": 0.2,
1031
+ "eval_f1": 1.0749958319523536,
1032
  "step": 7312
1033
  },
1034
  {
1035
+ "epoch": 39.47,
 
1036
  "learning_rate": 0.0001,
1037
+ "loss": 0.393,
1038
  "step": 7400
1039
  },
1040
  {
1041
  "epoch": 40.0,
 
1042
  "learning_rate": 0.0001,
1043
+ "loss": 0.4049,
1044
  "step": 7500
1045
  },
1046
  {
1047
  "epoch": 40.0,
1048
+ "eval_accuracy": 0.601948717948718,
1049
+ "eval_loss": 2.167102575302124,
1050
+ "eval_runtime": 4.0944,
1051
+ "eval_samples_per_second": 122.119,
1052
+ "eval_steps_per_second": 15.387,
1053
  "step": 7500
1054
  },
1055
  {
1056
  "epoch": 40.0,
1057
+ "eval_exact_match": 0.4,
1058
+ "eval_f1": 0.6425925925925926,
1059
  "step": 7500
1060
  },
1061
  {
1062
+ "epoch": 40.53,
 
1063
  "learning_rate": 0.0001,
1064
+ "loss": 0.391,
1065
  "step": 7600
1066
  },
1067
  {
1068
+ "epoch": 41.0,
1069
+ "eval_accuracy": 0.6026153846153847,
1070
+ "eval_loss": 2.1508407592773438,
1071
+ "eval_runtime": 4.1993,
1072
+ "eval_samples_per_second": 119.068,
1073
+ "eval_steps_per_second": 15.003,
1074
  "step": 7687
1075
  },
1076
  {
1077
+ "epoch": 41.0,
1078
+ "eval_exact_match": 0.0,
1079
+ "eval_f1": 0.15599864052666793,
1080
  "step": 7687
1081
  },
1082
  {
1083
+ "epoch": 41.07,
 
1084
  "learning_rate": 0.0001,
1085
+ "loss": 0.4032,
1086
  "step": 7700
1087
  },
1088
  {
1089
  "epoch": 41.6,
 
1090
  "learning_rate": 0.0001,
1091
+ "loss": 0.3913,
1092
  "step": 7800
1093
  },
1094
  {
1095
  "epoch": 42.0,
1096
+ "eval_accuracy": 0.5998461538461538,
1097
+ "eval_loss": 2.2061829566955566,
1098
+ "eval_runtime": 4.4055,
1099
+ "eval_samples_per_second": 113.493,
1100
+ "eval_steps_per_second": 14.3,
1101
  "step": 7875
1102
  },
1103
  {
1104
  "epoch": 42.0,
1105
+ "eval_exact_match": 0.0,
1106
+ "eval_f1": 0.25829123249594316,
1107
  "step": 7875
1108
  },
1109
  {
1110
+ "epoch": 42.13,
 
1111
  "learning_rate": 0.0001,
1112
+ "loss": 0.4,
1113
  "step": 7900
1114
  },
1115
  {
1116
+ "epoch": 42.67,
 
1117
  "learning_rate": 0.0001,
1118
+ "loss": 0.3945,
1119
  "step": 8000
1120
  },
1121
  {
1122
+ "epoch": 43.0,
1123
+ "eval_accuracy": 0.6011794871794872,
1124
+ "eval_loss": 2.2214462757110596,
1125
+ "eval_runtime": 4.0938,
1126
+ "eval_samples_per_second": 122.135,
1127
+ "eval_steps_per_second": 15.389,
1128
  "step": 8062
1129
  },
1130
  {
1131
+ "epoch": 43.0,
1132
+ "eval_exact_match": 0.0,
1133
+ "eval_f1": 1.966911267657296,
1134
  "step": 8062
1135
  }
1136
  ],
1137
  "logging_steps": 100,
1138
  "max_steps": 9350,
 
1139
  "num_train_epochs": 50,
1140
  "save_steps": 500,
1141
+ "total_flos": 3.008590038507192e+17,
 
 
 
 
 
 
 
 
 
 
 
 
 
1142
  "trial_name": null,
1143
  "trial_params": null
1144
  }
checkpoint-8062/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d667d5e0e40fe951f9fe0d2cd7fb4682a608b09af78a113a245307211adedfbc
3
- size 5304
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dfdad39e2291c20f000713e6b820dbeb747acc6873c9eec22bd69c854755aa38
3
+ size 4728