tyzhu commited on
Commit
b1cac30
1 Parent(s): 70b6e01

Training in progress, epoch 21, checkpoint

Browse files
checkpoint-5250/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-5250/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7dd2f567d9f040aa6f1631daac5120c2e38bed19ba88aaa9eb187474804c4649
3
+ size 143269386
checkpoint-5250/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-5250/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:37b15a5a769a817649fdc003f184877c6afc05f92f3c9109566adfbdd3733ffc
3
- size 224537202
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:022e6b98e812cc70beea7c3f5ae6c2711ef450a9e30c7009478c25a1604c7dc6
3
+ size 286585234
checkpoint-5250/rng_state_0.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:52b0d43fc868bb7dae5c386c594d4ae86007bd1b444f77b6e113143ddbdb91c4
3
  size 15024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fa389a5c39813c33c94244e6c59998d5757826ad938c860b416b7b8e2bd143c8
3
  size 15024
checkpoint-5250/rng_state_1.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:750cbc113bace385d8a2deaac1818717d23fe7d851ad46d0d1ff78e3a20d7b8a
3
  size 15024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e101e7c4db99629f66e59ae640fa738187c8263d2f2a65d10e1b23c92ceb188
3
  size 15024
checkpoint-5250/rng_state_2.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fd2d86700f18a81d24bdc44c59d1aa96377b9df0078e2ed0645949e49ffbed67
3
  size 15024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:538a18d56e9b562ae5447167ef9342ae0f40a0c85c5bd353c51101d0d50d9e9b
3
  size 15024
checkpoint-5250/rng_state_3.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0ef3f51691c268d3cb54d1ef11addacf79c863a46df88ddd7a3dfeb7cff226cf
3
  size 15024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:409441e402052d7d2ddcc43ea552c7bd82ee5f22f16ae53bc360c7f920e814c3
3
  size 15024
checkpoint-5250/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-5250/tokenizer.json CHANGED
The diff for this file is too large to render. See raw diff
 
checkpoint-5250/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-5250/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-5250/trainer_state.json CHANGED
@@ -10,703 +10,637 @@
10
  "log_history": [
11
  {
12
  "epoch": 0.4,
13
- "grad_norm": 0.5479037761688232,
14
  "learning_rate": 0.0005,
15
- "loss": 2.3029,
16
  "step": 100
17
  },
18
  {
19
  "epoch": 0.8,
20
- "grad_norm": 0.5442906618118286,
21
  "learning_rate": 0.0005,
22
- "loss": 2.2398,
23
  "step": 200
24
  },
25
  {
26
  "epoch": 1.0,
27
- "eval_accuracy": 0.5162539682539683,
28
- "eval_loss": 2.3236427307128906,
29
- "eval_runtime": 5.266,
30
- "eval_samples_per_second": 94.949,
31
- "eval_steps_per_second": 11.964,
32
  "step": 250
33
  },
34
  {
35
  "epoch": 1.0,
36
- "eval_exact_match": 17.6,
37
- "eval_f1": 26.59450937950939,
38
  "step": 250
39
  },
40
  {
41
  "epoch": 1.2,
42
- "grad_norm": 0.6918729543685913,
43
  "learning_rate": 0.0005,
44
- "loss": 2.0245,
45
  "step": 300
46
  },
47
  {
48
  "epoch": 1.6,
49
- "grad_norm": 0.7950774431228638,
50
  "learning_rate": 0.0005,
51
- "loss": 1.8286,
52
  "step": 400
53
  },
54
  {
55
  "epoch": 2.0,
56
- "grad_norm": 0.6913579106330872,
57
  "learning_rate": 0.0005,
58
- "loss": 1.8301,
59
  "step": 500
60
  },
61
  {
62
  "epoch": 2.0,
63
- "eval_accuracy": 0.5124126984126984,
64
- "eval_loss": 2.4219954013824463,
65
- "eval_runtime": 5.2763,
66
- "eval_samples_per_second": 94.763,
67
- "eval_steps_per_second": 11.94,
68
  "step": 500
69
  },
70
  {
71
  "epoch": 2.0,
72
- "eval_exact_match": 17.0,
73
- "eval_f1": 24.808081363081367,
74
  "step": 500
75
  },
76
  {
77
  "epoch": 2.4,
78
- "grad_norm": 0.9923084378242493,
79
  "learning_rate": 0.0005,
80
- "loss": 1.3144,
81
  "step": 600
82
  },
83
  {
84
  "epoch": 2.8,
85
- "grad_norm": 1.0025588274002075,
86
  "learning_rate": 0.0005,
87
- "loss": 1.3626,
88
  "step": 700
89
  },
90
  {
91
  "epoch": 3.0,
92
- "eval_accuracy": 0.5061904761904762,
93
- "eval_loss": 2.6152632236480713,
94
- "eval_runtime": 5.2745,
95
- "eval_samples_per_second": 94.795,
96
- "eval_steps_per_second": 11.944,
97
  "step": 750
98
  },
99
  {
100
  "epoch": 3.0,
101
- "eval_exact_match": 16.0,
102
- "eval_f1": 24.234217449217454,
103
  "step": 750
104
  },
105
  {
106
  "epoch": 3.2,
107
- "grad_norm": 1.0352345705032349,
108
  "learning_rate": 0.0005,
109
- "loss": 1.1681,
110
  "step": 800
111
  },
112
  {
113
  "epoch": 3.6,
114
- "grad_norm": 1.1078394651412964,
115
  "learning_rate": 0.0005,
116
- "loss": 0.9584,
117
  "step": 900
118
  },
119
  {
120
  "epoch": 4.0,
121
- "grad_norm": 1.14862060546875,
122
  "learning_rate": 0.0005,
123
- "loss": 1.0112,
124
  "step": 1000
125
  },
126
  {
127
  "epoch": 4.0,
128
- "eval_accuracy": 0.49974603174603177,
129
- "eval_loss": 2.834880828857422,
130
- "eval_runtime": 5.1472,
131
- "eval_samples_per_second": 97.141,
132
- "eval_steps_per_second": 12.24,
133
  "step": 1000
134
  },
135
  {
136
  "epoch": 4.0,
137
- "eval_exact_match": 13.6,
138
- "eval_f1": 20.6380957930958,
139
  "step": 1000
140
  },
141
  {
142
  "epoch": 4.4,
143
- "grad_norm": 1.2231959104537964,
144
  "learning_rate": 0.0005,
145
- "loss": 0.6614,
146
  "step": 1100
147
  },
148
  {
149
  "epoch": 4.8,
150
- "grad_norm": 1.1669212579727173,
151
  "learning_rate": 0.0005,
152
- "loss": 0.7198,
153
  "step": 1200
154
  },
155
  {
156
  "epoch": 5.0,
157
- "eval_accuracy": 0.4963174603174603,
158
- "eval_loss": 3.075563907623291,
159
- "eval_runtime": 5.1584,
160
- "eval_samples_per_second": 96.929,
161
- "eval_steps_per_second": 12.213,
162
  "step": 1250
163
  },
164
  {
165
  "epoch": 5.0,
166
- "eval_exact_match": 14.0,
167
- "eval_f1": 20.88632090132091,
168
  "step": 1250
169
  },
170
  {
171
  "epoch": 5.2,
172
- "grad_norm": 0.9650686979293823,
173
  "learning_rate": 0.0005,
174
- "loss": 0.6299,
175
  "step": 1300
176
  },
177
  {
178
  "epoch": 5.6,
179
- "grad_norm": 0.9634979963302612,
180
  "learning_rate": 0.0005,
181
- "loss": 0.5491,
182
  "step": 1400
183
  },
184
  {
185
  "epoch": 6.0,
186
- "grad_norm": 1.0452007055282593,
187
  "learning_rate": 0.0005,
188
- "loss": 0.589,
189
  "step": 1500
190
  },
191
  {
192
  "epoch": 6.0,
193
- "eval_accuracy": 0.49434920634920637,
194
- "eval_loss": 3.2339136600494385,
195
- "eval_runtime": 5.1512,
196
- "eval_samples_per_second": 97.064,
197
- "eval_steps_per_second": 12.23,
198
  "step": 1500
199
  },
200
  {
201
  "epoch": 6.0,
202
- "eval_exact_match": 15.0,
203
- "eval_f1": 21.66983199806731,
204
  "step": 1500
205
  },
206
  {
207
  "epoch": 6.4,
208
- "grad_norm": 1.0834842920303345,
209
  "learning_rate": 0.0005,
210
- "loss": 0.4679,
211
  "step": 1600
212
  },
213
  {
214
  "epoch": 6.8,
215
- "grad_norm": 0.9649925231933594,
216
  "learning_rate": 0.0005,
217
- "loss": 0.4969,
218
  "step": 1700
219
  },
220
  {
221
  "epoch": 7.0,
222
- "eval_accuracy": 0.4934920634920635,
223
- "eval_loss": 3.34251070022583,
224
- "eval_runtime": 5.2951,
225
- "eval_samples_per_second": 94.426,
226
- "eval_steps_per_second": 11.898,
227
  "step": 1750
228
  },
229
  {
230
  "epoch": 7.0,
231
- "eval_exact_match": 13.8,
232
- "eval_f1": 20.9043167943168,
233
  "step": 1750
234
  },
235
  {
236
  "epoch": 7.2,
237
- "grad_norm": 0.8583429455757141,
238
  "learning_rate": 0.0005,
239
- "loss": 0.4737,
240
  "step": 1800
241
  },
242
  {
243
  "epoch": 7.6,
244
- "grad_norm": 0.9595094919204712,
245
  "learning_rate": 0.0005,
246
- "loss": 0.4544,
247
  "step": 1900
248
  },
249
  {
250
  "epoch": 8.0,
251
- "grad_norm": 0.9260773062705994,
252
  "learning_rate": 0.0005,
253
- "loss": 0.4786,
254
  "step": 2000
255
  },
256
  {
257
  "epoch": 8.0,
258
- "eval_accuracy": 0.49244444444444446,
259
- "eval_loss": 3.4198057651519775,
260
- "eval_runtime": 5.8813,
261
- "eval_samples_per_second": 85.015,
262
- "eval_steps_per_second": 10.712,
263
  "step": 2000
264
  },
265
  {
266
  "epoch": 8.0,
267
- "eval_exact_match": 13.4,
268
- "eval_f1": 20.923260628260632,
269
  "step": 2000
270
  },
271
  {
272
  "epoch": 8.4,
273
- "grad_norm": 1.045862078666687,
274
  "learning_rate": 0.0005,
275
- "loss": 0.4114,
276
  "step": 2100
277
  },
278
  {
279
  "epoch": 8.8,
280
- "grad_norm": 0.7850492000579834,
281
  "learning_rate": 0.0005,
282
- "loss": 0.4399,
283
  "step": 2200
284
  },
285
  {
286
  "epoch": 9.0,
287
- "eval_accuracy": 0.49114285714285716,
288
- "eval_loss": 3.4694714546203613,
289
- "eval_runtime": 5.945,
290
- "eval_samples_per_second": 84.104,
291
- "eval_steps_per_second": 10.597,
292
  "step": 2250
293
  },
294
  {
295
  "epoch": 9.0,
296
- "eval_exact_match": 13.0,
297
- "eval_f1": 20.096701018279973,
298
  "step": 2250
299
  },
300
  {
301
  "epoch": 9.2,
302
- "grad_norm": 0.8059192895889282,
303
  "learning_rate": 0.0005,
304
- "loss": 0.4299,
305
  "step": 2300
306
  },
307
  {
308
  "epoch": 9.6,
309
- "grad_norm": 0.9573262333869934,
310
  "learning_rate": 0.0005,
311
- "loss": 0.4169,
312
  "step": 2400
313
  },
314
  {
315
  "epoch": 10.0,
316
- "grad_norm": 1.1837812662124634,
317
  "learning_rate": 0.0005,
318
- "loss": 0.4481,
319
  "step": 2500
320
  },
321
  {
322
  "epoch": 10.0,
323
- "eval_accuracy": 0.49133333333333334,
324
- "eval_loss": 3.5352694988250732,
325
- "eval_runtime": 5.1504,
326
- "eval_samples_per_second": 97.08,
327
- "eval_steps_per_second": 12.232,
328
  "step": 2500
329
  },
330
  {
331
  "epoch": 10.0,
332
- "eval_exact_match": 14.0,
333
- "eval_f1": 20.9187062937063,
334
  "step": 2500
335
  },
336
  {
337
  "epoch": 10.4,
338
- "grad_norm": 1.1431084871292114,
339
  "learning_rate": 0.0005,
340
- "loss": 0.3986,
341
  "step": 2600
342
  },
343
  {
344
  "epoch": 10.8,
345
- "grad_norm": 1.0149098634719849,
346
  "learning_rate": 0.0005,
347
- "loss": 0.4166,
348
  "step": 2700
349
  },
350
  {
351
  "epoch": 11.0,
352
- "eval_accuracy": 0.4893968253968254,
353
- "eval_loss": 3.493849992752075,
354
- "eval_runtime": 5.9644,
355
- "eval_samples_per_second": 83.831,
356
- "eval_steps_per_second": 10.563,
357
  "step": 2750
358
  },
359
  {
360
  "epoch": 11.0,
361
- "eval_exact_match": 14.0,
362
- "eval_f1": 21.90111555111556,
363
  "step": 2750
364
  },
365
  {
366
  "epoch": 11.2,
367
- "grad_norm": 0.666008710861206,
368
  "learning_rate": 0.0005,
369
- "loss": 0.4154,
370
  "step": 2800
371
  },
372
  {
373
  "epoch": 11.6,
374
- "grad_norm": 0.8676968812942505,
375
  "learning_rate": 0.0005,
376
- "loss": 0.4081,
377
  "step": 2900
378
  },
379
  {
380
  "epoch": 12.0,
381
- "grad_norm": 0.8371489644050598,
382
  "learning_rate": 0.0005,
383
- "loss": 0.429,
384
  "step": 3000
385
  },
386
  {
387
  "epoch": 12.0,
388
- "eval_accuracy": 0.49057142857142855,
389
- "eval_loss": 3.544997453689575,
390
- "eval_runtime": 5.1712,
391
- "eval_samples_per_second": 96.689,
392
- "eval_steps_per_second": 12.183,
393
  "step": 3000
394
  },
395
  {
396
  "epoch": 12.0,
397
- "eval_exact_match": 13.0,
398
- "eval_f1": 20.847710622710633,
399
  "step": 3000
400
  },
401
  {
402
  "epoch": 12.4,
403
- "grad_norm": 0.8826413750648499,
404
  "learning_rate": 0.0005,
405
- "loss": 0.3877,
406
  "step": 3100
407
  },
408
  {
409
  "epoch": 12.8,
410
- "grad_norm": 0.9569880962371826,
411
  "learning_rate": 0.0005,
412
- "loss": 0.4193,
413
  "step": 3200
414
  },
415
  {
416
  "epoch": 13.0,
417
- "eval_accuracy": 0.4881587301587302,
418
- "eval_loss": 3.5636065006256104,
419
- "eval_runtime": 5.3238,
420
- "eval_samples_per_second": 93.917,
421
- "eval_steps_per_second": 11.834,
422
  "step": 3250
423
  },
424
  {
425
  "epoch": 13.0,
426
- "eval_exact_match": 12.4,
427
- "eval_f1": 19.792212787212797,
428
  "step": 3250
429
  },
430
  {
431
  "epoch": 13.2,
432
- "grad_norm": 0.8115692734718323,
433
  "learning_rate": 0.0005,
434
- "loss": 0.408,
435
  "step": 3300
436
  },
437
  {
438
  "epoch": 13.6,
439
- "grad_norm": 0.9201633334159851,
440
  "learning_rate": 0.0005,
441
- "loss": 0.3962,
442
  "step": 3400
443
  },
444
  {
445
  "epoch": 14.0,
446
- "grad_norm": 1.0557641983032227,
447
  "learning_rate": 0.0005,
448
- "loss": 0.4276,
449
  "step": 3500
450
  },
451
  {
452
  "epoch": 14.0,
453
- "eval_accuracy": 0.48895238095238097,
454
- "eval_loss": 3.5625526905059814,
455
- "eval_runtime": 5.8685,
456
- "eval_samples_per_second": 85.201,
457
- "eval_steps_per_second": 10.735,
458
  "step": 3500
459
  },
460
  {
461
  "epoch": 14.0,
462
- "eval_exact_match": 13.4,
463
- "eval_f1": 20.559842934842944,
464
  "step": 3500
465
  },
466
  {
467
  "epoch": 14.4,
468
- "grad_norm": 0.7237015962600708,
469
  "learning_rate": 0.0005,
470
- "loss": 0.3888,
471
  "step": 3600
472
  },
473
  {
474
  "epoch": 14.8,
475
- "grad_norm": 0.8207970857620239,
476
  "learning_rate": 0.0005,
477
- "loss": 0.4071,
478
  "step": 3700
479
  },
480
  {
481
  "epoch": 15.0,
482
- "eval_accuracy": 0.4883174603174603,
483
- "eval_loss": 3.630866765975952,
484
- "eval_runtime": 5.6988,
485
- "eval_samples_per_second": 87.738,
486
- "eval_steps_per_second": 11.055,
487
  "step": 3750
488
  },
489
  {
490
  "epoch": 15.0,
491
- "eval_exact_match": 12.8,
492
- "eval_f1": 19.927898212898214,
493
  "step": 3750
494
  },
495
  {
496
  "epoch": 15.2,
497
- "grad_norm": 0.9946625232696533,
498
  "learning_rate": 0.0005,
499
- "loss": 0.3983,
500
  "step": 3800
501
  },
502
  {
503
  "epoch": 15.6,
504
- "grad_norm": 1.109531283378601,
505
  "learning_rate": 0.0005,
506
- "loss": 0.3938,
507
  "step": 3900
508
  },
509
  {
510
  "epoch": 16.0,
511
- "grad_norm": 0.8117135167121887,
512
  "learning_rate": 0.0005,
513
- "loss": 0.421,
514
  "step": 4000
515
  },
516
  {
517
  "epoch": 16.0,
518
- "eval_accuracy": 0.48904761904761906,
519
- "eval_loss": 3.58181095123291,
520
- "eval_runtime": 5.1769,
521
- "eval_samples_per_second": 96.582,
522
- "eval_steps_per_second": 12.169,
523
  "step": 4000
524
  },
525
  {
526
  "epoch": 16.0,
527
- "eval_exact_match": 13.2,
528
- "eval_f1": 19.838007156242455,
529
  "step": 4000
530
  },
531
  {
532
  "epoch": 16.4,
533
- "grad_norm": 0.8689247369766235,
534
  "learning_rate": 0.0005,
535
- "loss": 0.3803,
536
  "step": 4100
537
  },
538
  {
539
  "epoch": 16.8,
540
- "grad_norm": 0.8414099812507629,
541
  "learning_rate": 0.0005,
542
- "loss": 0.4065,
543
  "step": 4200
544
  },
545
  {
546
  "epoch": 17.0,
547
- "eval_accuracy": 0.4869206349206349,
548
- "eval_loss": 3.6166887283325195,
549
- "eval_runtime": 5.8573,
550
- "eval_samples_per_second": 85.364,
551
- "eval_steps_per_second": 10.756,
552
  "step": 4250
553
  },
554
  {
555
  "epoch": 17.0,
556
- "eval_exact_match": 13.6,
557
- "eval_f1": 21.07906926406927,
558
  "step": 4250
559
  },
560
  {
561
  "epoch": 17.2,
562
- "grad_norm": 0.8533599972724915,
563
  "learning_rate": 0.0005,
564
- "loss": 0.402,
565
  "step": 4300
566
  },
567
  {
568
  "epoch": 17.6,
569
- "grad_norm": 1.02438485622406,
570
  "learning_rate": 0.0005,
571
- "loss": 0.3916,
572
  "step": 4400
573
  },
574
  {
575
  "epoch": 18.0,
576
- "grad_norm": 1.0211039781570435,
577
  "learning_rate": 0.0005,
578
- "loss": 0.4188,
579
  "step": 4500
580
  },
581
  {
582
  "epoch": 18.0,
583
- "eval_accuracy": 0.48568253968253966,
584
- "eval_loss": 3.692577600479126,
585
- "eval_runtime": 5.1508,
586
- "eval_samples_per_second": 97.071,
587
- "eval_steps_per_second": 12.231,
588
  "step": 4500
589
  },
590
  {
591
  "epoch": 18.0,
592
- "eval_exact_match": 12.0,
593
- "eval_f1": 19.268169053169053,
594
  "step": 4500
595
  },
596
  {
597
  "epoch": 18.4,
598
- "grad_norm": 0.692489743232727,
599
  "learning_rate": 0.0005,
600
- "loss": 0.381,
601
  "step": 4600
602
  },
603
  {
604
  "epoch": 18.8,
605
- "grad_norm": 1.098289966583252,
606
  "learning_rate": 0.0005,
607
- "loss": 0.3994,
608
  "step": 4700
609
  },
610
  {
611
  "epoch": 19.0,
612
- "eval_accuracy": 0.48625396825396827,
613
- "eval_loss": 3.653291940689087,
614
- "eval_runtime": 5.3607,
615
- "eval_samples_per_second": 93.271,
616
- "eval_steps_per_second": 11.752,
617
  "step": 4750
618
  },
619
  {
620
  "epoch": 19.0,
621
- "eval_exact_match": 12.6,
622
- "eval_f1": 19.967438672438682,
623
  "step": 4750
624
  },
625
  {
626
  "epoch": 19.2,
627
- "grad_norm": 0.7502797842025757,
628
  "learning_rate": 0.0005,
629
- "loss": 0.3931,
630
  "step": 4800
631
  },
632
  {
633
  "epoch": 19.6,
634
- "grad_norm": 1.0003832578659058,
635
  "learning_rate": 0.0005,
636
- "loss": 0.3889,
637
  "step": 4900
638
  },
639
  {
640
  "epoch": 20.0,
641
- "grad_norm": 0.9703432321548462,
642
  "learning_rate": 0.0005,
643
- "loss": 0.4103,
644
  "step": 5000
645
  },
646
  {
647
  "epoch": 20.0,
648
- "eval_accuracy": 0.48644444444444446,
649
- "eval_loss": 3.689058542251587,
650
- "eval_runtime": 5.3154,
651
- "eval_samples_per_second": 94.066,
652
- "eval_steps_per_second": 11.852,
653
  "step": 5000
654
  },
655
  {
656
  "epoch": 20.0,
657
- "eval_exact_match": 13.2,
658
- "eval_f1": 20.261983016983024,
659
  "step": 5000
660
  },
661
  {
662
  "epoch": 20.4,
663
- "grad_norm": 0.8916403651237488,
664
  "learning_rate": 0.0005,
665
- "loss": 0.373,
666
  "step": 5100
667
  },
668
  {
669
  "epoch": 20.8,
670
- "grad_norm": 0.8316965103149414,
671
  "learning_rate": 0.0005,
672
- "loss": 0.397,
673
  "step": 5200
674
  },
675
  {
676
  "epoch": 21.0,
677
- "eval_accuracy": 0.48507936507936505,
678
- "eval_loss": 3.6972897052764893,
679
- "eval_runtime": 5.2392,
680
- "eval_samples_per_second": 95.434,
681
- "eval_steps_per_second": 12.025,
682
  "step": 5250
683
  },
684
  {
685
  "epoch": 21.0,
686
- "eval_exact_match": 13.6,
687
- "eval_f1": 20.467407592407604,
688
  "step": 5250
689
  }
690
  ],
691
  "logging_steps": 100,
692
  "max_steps": 12500,
693
- "num_input_tokens_seen": 0,
694
  "num_train_epochs": 50,
695
  "save_steps": 500,
696
- "stateful_callbacks": {
697
- "TrainerControl": {
698
- "args": {
699
- "should_epoch_stop": false,
700
- "should_evaluate": false,
701
- "should_log": false,
702
- "should_save": true,
703
- "should_training_stop": false
704
- },
705
- "attributes": {}
706
- }
707
- },
708
- "total_flos": 1.606497816417403e+17,
709
- "train_batch_size": 2,
710
  "trial_name": null,
711
  "trial_params": null
712
  }
 
10
  "log_history": [
11
  {
12
  "epoch": 0.4,
 
13
  "learning_rate": 0.0005,
14
+ "loss": 2.3712,
15
  "step": 100
16
  },
17
  {
18
  "epoch": 0.8,
 
19
  "learning_rate": 0.0005,
20
+ "loss": 1.8732,
21
  "step": 200
22
  },
23
  {
24
  "epoch": 1.0,
25
+ "eval_accuracy": 0.593873417721519,
26
+ "eval_loss": 2.011091947555542,
27
+ "eval_runtime": 4.861,
28
+ "eval_samples_per_second": 102.859,
29
+ "eval_steps_per_second": 12.96,
30
  "step": 250
31
  },
32
  {
33
  "epoch": 1.0,
34
+ "eval_exact_match": 0.0,
35
+ "eval_f1": 0.32835692091264185,
36
  "step": 250
37
  },
38
  {
39
  "epoch": 1.2,
 
40
  "learning_rate": 0.0005,
41
+ "loss": 1.7329,
42
  "step": 300
43
  },
44
  {
45
  "epoch": 1.6,
 
46
  "learning_rate": 0.0005,
47
+ "loss": 1.6233,
48
  "step": 400
49
  },
50
  {
51
  "epoch": 2.0,
 
52
  "learning_rate": 0.0005,
53
+ "loss": 1.6142,
54
  "step": 500
55
  },
56
  {
57
  "epoch": 2.0,
58
+ "eval_accuracy": 0.6051139240506329,
59
+ "eval_loss": 1.844284176826477,
60
+ "eval_runtime": 4.8205,
61
+ "eval_samples_per_second": 103.724,
62
+ "eval_steps_per_second": 13.069,
63
  "step": 500
64
  },
65
  {
66
  "epoch": 2.0,
67
+ "eval_exact_match": 0.0,
68
+ "eval_f1": 0.7215873015873017,
69
  "step": 500
70
  },
71
  {
72
  "epoch": 2.4,
 
73
  "learning_rate": 0.0005,
74
+ "loss": 1.1625,
75
  "step": 600
76
  },
77
  {
78
  "epoch": 2.8,
 
79
  "learning_rate": 0.0005,
80
+ "loss": 1.206,
81
  "step": 700
82
  },
83
  {
84
  "epoch": 3.0,
85
+ "eval_accuracy": 0.6007341772151898,
86
+ "eval_loss": 1.981817603111267,
87
+ "eval_runtime": 4.671,
88
+ "eval_samples_per_second": 107.044,
89
+ "eval_steps_per_second": 13.487,
90
  "step": 750
91
  },
92
  {
93
  "epoch": 3.0,
94
+ "eval_exact_match": 0.0,
95
+ "eval_f1": 0.4163636363636364,
96
  "step": 750
97
  },
98
  {
99
  "epoch": 3.2,
 
100
  "learning_rate": 0.0005,
101
+ "loss": 1.0064,
102
  "step": 800
103
  },
104
  {
105
  "epoch": 3.6,
 
106
  "learning_rate": 0.0005,
107
+ "loss": 0.8141,
108
  "step": 900
109
  },
110
  {
111
  "epoch": 4.0,
 
112
  "learning_rate": 0.0005,
113
+ "loss": 0.8693,
114
  "step": 1000
115
  },
116
  {
117
  "epoch": 4.0,
118
+ "eval_accuracy": 0.594126582278481,
119
+ "eval_loss": 2.2100281715393066,
120
+ "eval_runtime": 5.2488,
121
+ "eval_samples_per_second": 95.26,
122
+ "eval_steps_per_second": 12.003,
123
  "step": 1000
124
  },
125
  {
126
  "epoch": 4.0,
127
+ "eval_exact_match": 0.2,
128
+ "eval_f1": 1.559097642686839,
129
  "step": 1000
130
  },
131
  {
132
  "epoch": 4.4,
 
133
  "learning_rate": 0.0005,
134
+ "loss": 0.5477,
135
  "step": 1100
136
  },
137
  {
138
  "epoch": 4.8,
 
139
  "learning_rate": 0.0005,
140
+ "loss": 0.6023,
141
  "step": 1200
142
  },
143
  {
144
  "epoch": 5.0,
145
+ "eval_accuracy": 0.5910126582278481,
146
+ "eval_loss": 2.375615119934082,
147
+ "eval_runtime": 4.4156,
148
+ "eval_samples_per_second": 113.235,
149
+ "eval_steps_per_second": 14.268,
150
  "step": 1250
151
  },
152
  {
153
  "epoch": 5.0,
154
+ "eval_exact_match": 0.4,
155
+ "eval_f1": 2.41971862073413,
156
  "step": 1250
157
  },
158
  {
159
  "epoch": 5.2,
 
160
  "learning_rate": 0.0005,
161
+ "loss": 0.514,
162
  "step": 1300
163
  },
164
  {
165
  "epoch": 5.6,
 
166
  "learning_rate": 0.0005,
167
+ "loss": 0.4479,
168
  "step": 1400
169
  },
170
  {
171
  "epoch": 6.0,
 
172
  "learning_rate": 0.0005,
173
+ "loss": 0.4717,
174
  "step": 1500
175
  },
176
  {
177
  "epoch": 6.0,
178
+ "eval_accuracy": 0.5895696202531645,
179
+ "eval_loss": 2.542104482650757,
180
+ "eval_runtime": 5.1447,
181
+ "eval_samples_per_second": 97.188,
182
+ "eval_steps_per_second": 12.246,
183
  "step": 1500
184
  },
185
  {
186
  "epoch": 6.0,
187
+ "eval_exact_match": 9.8,
188
+ "eval_f1": 17.19683736589267,
189
  "step": 1500
190
  },
191
  {
192
  "epoch": 6.4,
 
193
  "learning_rate": 0.0005,
194
+ "loss": 0.3723,
195
  "step": 1600
196
  },
197
  {
198
  "epoch": 6.8,
 
199
  "learning_rate": 0.0005,
200
+ "loss": 0.3938,
201
  "step": 1700
202
  },
203
  {
204
  "epoch": 7.0,
205
+ "eval_accuracy": 0.5891139240506329,
206
+ "eval_loss": 2.658656597137451,
207
+ "eval_runtime": 4.7175,
208
+ "eval_samples_per_second": 105.987,
209
+ "eval_steps_per_second": 13.354,
210
  "step": 1750
211
  },
212
  {
213
  "epoch": 7.0,
214
+ "eval_exact_match": 3.6,
215
+ "eval_f1": 8.743843476498272,
216
  "step": 1750
217
  },
218
  {
219
  "epoch": 7.2,
 
220
  "learning_rate": 0.0005,
221
+ "loss": 0.3727,
222
  "step": 1800
223
  },
224
  {
225
  "epoch": 7.6,
 
226
  "learning_rate": 0.0005,
227
+ "loss": 0.3538,
228
  "step": 1900
229
  },
230
  {
231
  "epoch": 8.0,
 
232
  "learning_rate": 0.0005,
233
+ "loss": 0.3697,
234
  "step": 2000
235
  },
236
  {
237
  "epoch": 8.0,
238
+ "eval_accuracy": 0.5872911392405064,
239
+ "eval_loss": 2.7531518936157227,
240
+ "eval_runtime": 4.7213,
241
+ "eval_samples_per_second": 105.902,
242
+ "eval_steps_per_second": 13.344,
243
  "step": 2000
244
  },
245
  {
246
  "epoch": 8.0,
247
+ "eval_exact_match": 0.0,
248
+ "eval_f1": 0.3733369257948794,
249
  "step": 2000
250
  },
251
  {
252
  "epoch": 8.4,
 
253
  "learning_rate": 0.0005,
254
+ "loss": 0.3431,
255
  "step": 2100
256
  },
257
  {
258
  "epoch": 8.8,
 
259
  "learning_rate": 0.0005,
260
+ "loss": 0.3617,
261
  "step": 2200
262
  },
263
  {
264
  "epoch": 9.0,
265
+ "eval_accuracy": 0.5870126582278481,
266
+ "eval_loss": 2.7664403915405273,
267
+ "eval_runtime": 4.7203,
268
+ "eval_samples_per_second": 105.925,
269
+ "eval_steps_per_second": 13.347,
270
  "step": 2250
271
  },
272
  {
273
  "epoch": 9.0,
274
+ "eval_exact_match": 0.0,
275
+ "eval_f1": 0.18,
276
  "step": 2250
277
  },
278
  {
279
  "epoch": 9.2,
 
280
  "learning_rate": 0.0005,
281
+ "loss": 0.3424,
282
  "step": 2300
283
  },
284
  {
285
  "epoch": 9.6,
 
286
  "learning_rate": 0.0005,
287
+ "loss": 0.3418,
288
  "step": 2400
289
  },
290
  {
291
  "epoch": 10.0,
 
292
  "learning_rate": 0.0005,
293
+ "loss": 0.3607,
294
  "step": 2500
295
  },
296
  {
297
  "epoch": 10.0,
298
+ "eval_accuracy": 0.5866835443037974,
299
+ "eval_loss": 2.8513779640197754,
300
+ "eval_runtime": 4.5658,
301
+ "eval_samples_per_second": 109.511,
302
+ "eval_steps_per_second": 13.798,
303
  "step": 2500
304
  },
305
  {
306
  "epoch": 10.0,
307
+ "eval_exact_match": 15.8,
308
+ "eval_f1": 24.03880563880564,
309
  "step": 2500
310
  },
311
  {
312
  "epoch": 10.4,
 
313
  "learning_rate": 0.0005,
314
+ "loss": 0.339,
315
  "step": 2600
316
  },
317
  {
318
  "epoch": 10.8,
 
319
  "learning_rate": 0.0005,
320
+ "loss": 0.3414,
321
  "step": 2700
322
  },
323
  {
324
  "epoch": 11.0,
325
+ "eval_accuracy": 0.5860759493670886,
326
+ "eval_loss": 2.8931641578674316,
327
+ "eval_runtime": 5.1473,
328
+ "eval_samples_per_second": 97.139,
329
+ "eval_steps_per_second": 12.24,
330
  "step": 2750
331
  },
332
  {
333
  "epoch": 11.0,
334
+ "eval_exact_match": 0.0,
335
+ "eval_f1": 1.8004313814840132,
336
  "step": 2750
337
  },
338
  {
339
  "epoch": 11.2,
 
340
  "learning_rate": 0.0005,
341
+ "loss": 0.3302,
342
  "step": 2800
343
  },
344
  {
345
  "epoch": 11.6,
 
346
  "learning_rate": 0.0005,
347
+ "loss": 0.329,
348
  "step": 2900
349
  },
350
  {
351
  "epoch": 12.0,
 
352
  "learning_rate": 0.0005,
353
+ "loss": 0.3439,
354
  "step": 3000
355
  },
356
  {
357
  "epoch": 12.0,
358
+ "eval_accuracy": 0.5854683544303797,
359
+ "eval_loss": 2.9544754028320312,
360
+ "eval_runtime": 4.5673,
361
+ "eval_samples_per_second": 109.473,
362
+ "eval_steps_per_second": 13.794,
363
  "step": 3000
364
  },
365
  {
366
  "epoch": 12.0,
367
+ "eval_exact_match": 0.8,
368
+ "eval_f1": 3.4374976657329603,
369
  "step": 3000
370
  },
371
  {
372
  "epoch": 12.4,
 
373
  "learning_rate": 0.0005,
374
+ "loss": 0.3182,
375
  "step": 3100
376
  },
377
  {
378
  "epoch": 12.8,
 
379
  "learning_rate": 0.0005,
380
+ "loss": 0.335,
381
  "step": 3200
382
  },
383
  {
384
  "epoch": 13.0,
385
+ "eval_accuracy": 0.5842784810126582,
386
+ "eval_loss": 2.899094343185425,
387
+ "eval_runtime": 4.7188,
388
+ "eval_samples_per_second": 105.96,
389
+ "eval_steps_per_second": 13.351,
390
  "step": 3250
391
  },
392
  {
393
  "epoch": 13.0,
394
+ "eval_exact_match": 14.4,
395
+ "eval_f1": 23.30256743256743,
396
  "step": 3250
397
  },
398
  {
399
  "epoch": 13.2,
 
400
  "learning_rate": 0.0005,
401
+ "loss": 0.327,
402
  "step": 3300
403
  },
404
  {
405
  "epoch": 13.6,
 
406
  "learning_rate": 0.0005,
407
+ "loss": 0.3223,
408
  "step": 3400
409
  },
410
  {
411
  "epoch": 14.0,
 
412
  "learning_rate": 0.0005,
413
+ "loss": 0.3391,
414
  "step": 3500
415
  },
416
  {
417
  "epoch": 14.0,
418
+ "eval_accuracy": 0.5839746835443038,
419
+ "eval_loss": 2.879316806793213,
420
+ "eval_runtime": 4.415,
421
+ "eval_samples_per_second": 113.251,
422
+ "eval_steps_per_second": 14.27,
423
  "step": 3500
424
  },
425
  {
426
  "epoch": 14.0,
427
+ "eval_exact_match": 17.2,
428
+ "eval_f1": 25.861362134597435,
429
  "step": 3500
430
  },
431
  {
432
  "epoch": 14.4,
 
433
  "learning_rate": 0.0005,
434
+ "loss": 0.3128,
435
  "step": 3600
436
  },
437
  {
438
  "epoch": 14.8,
 
439
  "learning_rate": 0.0005,
440
+ "loss": 0.328,
441
  "step": 3700
442
  },
443
  {
444
  "epoch": 15.0,
445
+ "eval_accuracy": 0.5851392405063292,
446
+ "eval_loss": 2.8953680992126465,
447
+ "eval_runtime": 4.7507,
448
+ "eval_samples_per_second": 105.249,
449
+ "eval_steps_per_second": 13.261,
450
  "step": 3750
451
  },
452
  {
453
  "epoch": 15.0,
454
+ "eval_exact_match": 15.8,
455
+ "eval_f1": 23.802868797868808,
456
  "step": 3750
457
  },
458
  {
459
  "epoch": 15.2,
 
460
  "learning_rate": 0.0005,
461
+ "loss": 0.3233,
462
  "step": 3800
463
  },
464
  {
465
  "epoch": 15.6,
 
466
  "learning_rate": 0.0005,
467
+ "loss": 0.3216,
468
  "step": 3900
469
  },
470
  {
471
  "epoch": 16.0,
 
472
  "learning_rate": 0.0005,
473
+ "loss": 0.3351,
474
  "step": 4000
475
  },
476
  {
477
  "epoch": 16.0,
478
+ "eval_accuracy": 0.5838481012658228,
479
+ "eval_loss": 2.913999080657959,
480
+ "eval_runtime": 4.5211,
481
+ "eval_samples_per_second": 110.593,
482
+ "eval_steps_per_second": 13.935,
483
  "step": 4000
484
  },
485
  {
486
  "epoch": 16.0,
487
+ "eval_exact_match": 15.8,
488
+ "eval_f1": 23.843056551291856,
489
  "step": 4000
490
  },
491
  {
492
  "epoch": 16.4,
 
493
  "learning_rate": 0.0005,
494
+ "loss": 0.3087,
495
  "step": 4100
496
  },
497
  {
498
  "epoch": 16.8,
 
499
  "learning_rate": 0.0005,
500
+ "loss": 0.3252,
501
  "step": 4200
502
  },
503
  {
504
  "epoch": 17.0,
505
+ "eval_accuracy": 0.5825063291139241,
506
+ "eval_loss": 2.929701089859009,
507
+ "eval_runtime": 5.1507,
508
+ "eval_samples_per_second": 97.074,
509
+ "eval_steps_per_second": 12.231,
510
  "step": 4250
511
  },
512
  {
513
  "epoch": 17.0,
514
+ "eval_exact_match": 17.6,
515
+ "eval_f1": 25.533542568542583,
516
  "step": 4250
517
  },
518
  {
519
  "epoch": 17.2,
 
520
  "learning_rate": 0.0005,
521
+ "loss": 0.3152,
522
  "step": 4300
523
  },
524
  {
525
  "epoch": 17.6,
 
526
  "learning_rate": 0.0005,
527
+ "loss": 0.3161,
528
  "step": 4400
529
  },
530
  {
531
  "epoch": 18.0,
 
532
  "learning_rate": 0.0005,
533
+ "loss": 0.332,
534
  "step": 4500
535
  },
536
  {
537
  "epoch": 18.0,
538
+ "eval_accuracy": 0.5833924050632912,
539
+ "eval_loss": 2.9811997413635254,
540
+ "eval_runtime": 4.5707,
541
+ "eval_samples_per_second": 109.392,
542
+ "eval_steps_per_second": 13.783,
543
  "step": 4500
544
  },
545
  {
546
  "epoch": 18.0,
547
+ "eval_exact_match": 14.8,
548
+ "eval_f1": 23.04023215346745,
549
  "step": 4500
550
  },
551
  {
552
  "epoch": 18.4,
 
553
  "learning_rate": 0.0005,
554
+ "loss": 0.3089,
555
  "step": 4600
556
  },
557
  {
558
  "epoch": 18.8,
 
559
  "learning_rate": 0.0005,
560
+ "loss": 0.324,
561
  "step": 4700
562
  },
563
  {
564
  "epoch": 19.0,
565
+ "eval_accuracy": 0.5807848101265822,
566
+ "eval_loss": 2.982343912124634,
567
+ "eval_runtime": 4.5156,
568
+ "eval_samples_per_second": 110.728,
569
+ "eval_steps_per_second": 13.952,
570
  "step": 4750
571
  },
572
  {
573
  "epoch": 19.0,
574
+ "eval_exact_match": 17.2,
575
+ "eval_f1": 24.75057253204313,
576
  "step": 4750
577
  },
578
  {
579
  "epoch": 19.2,
 
580
  "learning_rate": 0.0005,
581
+ "loss": 0.3169,
582
  "step": 4800
583
  },
584
  {
585
  "epoch": 19.6,
 
586
  "learning_rate": 0.0005,
587
+ "loss": 0.3116,
588
  "step": 4900
589
  },
590
  {
591
  "epoch": 20.0,
 
592
  "learning_rate": 0.0005,
593
+ "loss": 0.3329,
594
  "step": 5000
595
  },
596
  {
597
  "epoch": 20.0,
598
+ "eval_accuracy": 0.5813164556962025,
599
+ "eval_loss": 2.9419918060302734,
600
+ "eval_runtime": 5.1584,
601
+ "eval_samples_per_second": 96.929,
602
+ "eval_steps_per_second": 12.213,
603
  "step": 5000
604
  },
605
  {
606
  "epoch": 20.0,
607
+ "eval_exact_match": 17.0,
608
+ "eval_f1": 24.681692914928213,
609
  "step": 5000
610
  },
611
  {
612
  "epoch": 20.4,
 
613
  "learning_rate": 0.0005,
614
+ "loss": 0.3052,
615
  "step": 5100
616
  },
617
  {
618
  "epoch": 20.8,
 
619
  "learning_rate": 0.0005,
620
+ "loss": 0.3242,
621
  "step": 5200
622
  },
623
  {
624
  "epoch": 21.0,
625
+ "eval_accuracy": 0.5806075949367089,
626
+ "eval_loss": 3.0366506576538086,
627
+ "eval_runtime": 4.4135,
628
+ "eval_samples_per_second": 113.288,
629
+ "eval_steps_per_second": 14.274,
630
  "step": 5250
631
  },
632
  {
633
  "epoch": 21.0,
634
+ "eval_exact_match": 15.8,
635
+ "eval_f1": 24.507380005615303,
636
  "step": 5250
637
  }
638
  ],
639
  "logging_steps": 100,
640
  "max_steps": 12500,
 
641
  "num_train_epochs": 50,
642
  "save_steps": 500,
643
+ "total_flos": 3.3566494603555635e+17,
 
 
 
 
 
 
 
 
 
 
 
 
 
644
  "trial_name": null,
645
  "trial_params": null
646
  }
checkpoint-5250/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6b62f42960cf4fd93abfb3be317e2e8ef04964ff17a18b3862335bf3c3ff7041
3
- size 5304
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:814f378bbfbf215f6c033d7b267886233699f8ce3ebf0a109279893fc2f542bf
3
+ size 4728