chansung commited on
Commit
bce1e89
·
verified ·
1 Parent(s): f9729ec

Model save

Browse files
README.md ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Mistral-7B-v0.3
3
+ datasets:
4
+ - generator
5
+ library_name: peft
6
+ license: apache-2.0
7
+ tags:
8
+ - trl
9
+ - sft
10
+ - generated_from_trainer
11
+ model-index:
12
+ - name: mistral-7b-0.3-gpt4o_100k_summarize-k2
13
+ results: []
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ # mistral-7b-0.3-gpt4o_100k_summarize-k2
20
+
21
+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the generator dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 1.8284
24
+
25
+ ## Model description
26
+
27
+ More information needed
28
+
29
+ ## Intended uses & limitations
30
+
31
+ More information needed
32
+
33
+ ## Training and evaluation data
34
+
35
+ More information needed
36
+
37
+ ## Training procedure
38
+
39
+ ### Training hyperparameters
40
+
41
+ The following hyperparameters were used during training:
42
+ - learning_rate: 0.0002
43
+ - train_batch_size: 2
44
+ - eval_batch_size: 2
45
+ - seed: 42
46
+ - distributed_type: multi-GPU
47
+ - num_devices: 8
48
+ - gradient_accumulation_steps: 2
49
+ - total_train_batch_size: 32
50
+ - total_eval_batch_size: 16
51
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
52
+ - lr_scheduler_type: cosine
53
+ - lr_scheduler_warmup_ratio: 0.1
54
+ - num_epochs: 1
55
+
56
+ ### Training results
57
+
58
+ | Training Loss | Epoch | Step | Validation Loss |
59
+ |:-------------:|:-----:|:----:|:---------------:|
60
+ | 0.7244 | 1.0 | 438 | 1.8284 |
61
+
62
+
63
+ ### Framework versions
64
+
65
+ - PEFT 0.13.1.dev0
66
+ - Transformers 4.45.1
67
+ - Pytorch 2.4.1+cu121
68
+ - Datasets 3.0.1
69
+ - Tokenizers 0.20.0
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:08b56f6341da07f3eca8476616832ca856e8ae04a35f70eb845087d1fa0b3bf5
3
  size 1087481480
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8181bbdfd4daa5530c101398751bbce9af498d0fd14c816681857dc39b0498d4
3
  size 1087481480
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 6.128949620228751e+17,
4
+ "train_loss": 0.7978243280763495,
5
+ "train_runtime": 3115.8127,
6
+ "train_samples": 115376,
7
+ "train_samples_per_second": 4.494,
8
+ "train_steps_per_second": 0.141
9
+ }
runs/Sep29_11-01-28_82b7fdadb1f8/events.out.tfevents.1727607812.82b7fdadb1f8.605856.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:81931880629c52bf97c9fce83d12d7eb0ed5f266efbc4da959ca0358a034af0c
3
- size 22997
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0dbf1053d568a49c471f80eaf5cecf0bb7019218cd29615a1a43da35922f38d4
3
+ size 25099
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 6.128949620228751e+17,
4
+ "train_loss": 0.7978243280763495,
5
+ "train_runtime": 3115.8127,
6
+ "train_samples": 115376,
7
+ "train_samples_per_second": 4.494,
8
+ "train_steps_per_second": 0.141
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,666 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 438,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.00228310502283105,
13
+ "grad_norm": 6.537960529327393,
14
+ "learning_rate": 4.5454545454545455e-06,
15
+ "loss": 1.8099,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.01141552511415525,
20
+ "grad_norm": 6.545882225036621,
21
+ "learning_rate": 2.272727272727273e-05,
22
+ "loss": 1.7378,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.0228310502283105,
27
+ "grad_norm": 4.1666693687438965,
28
+ "learning_rate": 4.545454545454546e-05,
29
+ "loss": 1.5963,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.03424657534246575,
34
+ "grad_norm": 2.742569923400879,
35
+ "learning_rate": 6.818181818181818e-05,
36
+ "loss": 1.36,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.045662100456621,
41
+ "grad_norm": 1.3173938989639282,
42
+ "learning_rate": 9.090909090909092e-05,
43
+ "loss": 1.2028,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.05707762557077625,
48
+ "grad_norm": 1.3680421113967896,
49
+ "learning_rate": 0.00011363636363636365,
50
+ "loss": 1.1031,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.0684931506849315,
55
+ "grad_norm": 1.06874418258667,
56
+ "learning_rate": 0.00013636363636363637,
57
+ "loss": 1.0291,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.07990867579908675,
62
+ "grad_norm": 0.7481689453125,
63
+ "learning_rate": 0.0001590909090909091,
64
+ "loss": 0.9542,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.091324200913242,
69
+ "grad_norm": 0.5238539576530457,
70
+ "learning_rate": 0.00018181818181818183,
71
+ "loss": 0.9042,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.10273972602739725,
76
+ "grad_norm": 0.6258371472358704,
77
+ "learning_rate": 0.00019999682111362368,
78
+ "loss": 0.8712,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.1141552511415525,
83
+ "grad_norm": 0.652073860168457,
84
+ "learning_rate": 0.00019988558131018186,
85
+ "loss": 0.8544,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.12557077625570776,
90
+ "grad_norm": 0.41882091760635376,
91
+ "learning_rate": 0.0001996155992365444,
92
+ "loss": 0.8341,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.136986301369863,
97
+ "grad_norm": 0.4048590064048767,
98
+ "learning_rate": 0.00019918730395931649,
99
+ "loss": 0.8206,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.14840182648401826,
104
+ "grad_norm": 0.41035646200180054,
105
+ "learning_rate": 0.00019860137614295168,
106
+ "loss": 0.8261,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.1598173515981735,
111
+ "grad_norm": 0.5227702856063843,
112
+ "learning_rate": 0.00019785874696801202,
113
+ "loss": 0.8022,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.17123287671232876,
118
+ "grad_norm": 0.744319498538971,
119
+ "learning_rate": 0.0001969605966512975,
120
+ "loss": 0.8126,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.182648401826484,
125
+ "grad_norm": 0.6107627749443054,
126
+ "learning_rate": 0.00019590835257019714,
127
+ "loss": 0.8135,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.19406392694063926,
132
+ "grad_norm": 0.5606933832168579,
133
+ "learning_rate": 0.00019470368699424218,
134
+ "loss": 0.791,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.2054794520547945,
139
+ "grad_norm": 0.481476753950119,
140
+ "learning_rate": 0.00019334851442746664,
141
+ "loss": 0.7933,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.21689497716894976,
146
+ "grad_norm": 0.42986494302749634,
147
+ "learning_rate": 0.00019184498856579868,
148
+ "loss": 0.7855,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.228310502283105,
153
+ "grad_norm": 0.8674535751342773,
154
+ "learning_rate": 0.00019019549887431877,
155
+ "loss": 0.788,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.23972602739726026,
160
+ "grad_norm": 0.5029703974723816,
161
+ "learning_rate": 0.00018840266678982342,
162
+ "loss": 0.7916,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.2511415525114155,
167
+ "grad_norm": 0.5123094916343689,
168
+ "learning_rate": 0.00018646934155473022,
169
+ "loss": 0.7698,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.2625570776255708,
174
+ "grad_norm": 0.6292619109153748,
175
+ "learning_rate": 0.00018439859568894463,
176
+ "loss": 0.7729,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.273972602739726,
181
+ "grad_norm": 0.48256051540374756,
182
+ "learning_rate": 0.00018219372010688515,
183
+ "loss": 0.7645,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.2853881278538813,
188
+ "grad_norm": 0.5615462064743042,
189
+ "learning_rate": 0.00017985821888742685,
190
+ "loss": 0.7683,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.2968036529680365,
195
+ "grad_norm": 0.44299066066741943,
196
+ "learning_rate": 0.00017739580370507532,
197
+ "loss": 0.7643,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.3082191780821918,
202
+ "grad_norm": 0.6133469343185425,
203
+ "learning_rate": 0.00017481038793122088,
204
+ "loss": 0.7703,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.319634703196347,
209
+ "grad_norm": 0.4634026885032654,
210
+ "learning_rate": 0.0001721060804148482,
211
+ "loss": 0.7747,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.3310502283105023,
216
+ "grad_norm": 0.5451490879058838,
217
+ "learning_rate": 0.00016928717895258437,
218
+ "loss": 0.7724,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.3424657534246575,
223
+ "grad_norm": 0.6281952261924744,
224
+ "learning_rate": 0.0001663581634584641,
225
+ "loss": 0.7638,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.3538812785388128,
230
+ "grad_norm": 0.5821138620376587,
231
+ "learning_rate": 0.00016332368884426626,
232
+ "loss": 0.7558,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.365296803652968,
237
+ "grad_norm": 0.6641839146614075,
238
+ "learning_rate": 0.0001601885776217367,
239
+ "loss": 0.7647,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.3767123287671233,
244
+ "grad_norm": 0.5730116963386536,
245
+ "learning_rate": 0.00015695781223845441,
246
+ "loss": 0.7655,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.3881278538812785,
251
+ "grad_norm": 0.5685128569602966,
252
+ "learning_rate": 0.0001536365271595212,
253
+ "loss": 0.7609,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.3995433789954338,
258
+ "grad_norm": 0.47333163022994995,
259
+ "learning_rate": 0.00015023000070765884,
260
+ "loss": 0.7609,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.410958904109589,
265
+ "grad_norm": 0.8263501524925232,
266
+ "learning_rate": 0.0001467436466746814,
267
+ "loss": 0.7536,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.4223744292237443,
272
+ "grad_norm": 0.6865557432174683,
273
+ "learning_rate": 0.00014318300571767513,
274
+ "loss": 0.7568,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.4337899543378995,
279
+ "grad_norm": 0.45099779963493347,
280
+ "learning_rate": 0.0001395537365535585,
281
+ "loss": 0.7536,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.4452054794520548,
286
+ "grad_norm": 0.44106268882751465,
287
+ "learning_rate": 0.00013586160696601665,
288
+ "loss": 0.7592,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.45662100456621,
293
+ "grad_norm": 0.44125545024871826,
294
+ "learning_rate": 0.00013211248463910262,
295
+ "loss": 0.7513,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.4680365296803653,
300
+ "grad_norm": 0.45518410205841064,
301
+ "learning_rate": 0.00012831232783207277,
302
+ "loss": 0.7404,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.4794520547945205,
307
+ "grad_norm": 0.4644870162010193,
308
+ "learning_rate": 0.00012446717591027624,
309
+ "loss": 0.7452,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.4908675799086758,
314
+ "grad_norm": 0.5244945883750916,
315
+ "learning_rate": 0.00012058313974714746,
316
+ "loss": 0.7494,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.502283105022831,
321
+ "grad_norm": 0.4744689464569092,
322
+ "learning_rate": 0.00011666639201255506,
323
+ "loss": 0.7382,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.5136986301369864,
328
+ "grad_norm": 0.4412366449832916,
329
+ "learning_rate": 0.00011272315736294108,
330
+ "loss": 0.7398,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.5251141552511416,
335
+ "grad_norm": 0.45072141289711,
336
+ "learning_rate": 0.0001087597025488413,
337
+ "loss": 0.7492,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.5365296803652968,
342
+ "grad_norm": 0.5198200941085815,
343
+ "learning_rate": 0.00010478232645550782,
344
+ "loss": 0.7505,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.547945205479452,
349
+ "grad_norm": 0.463403582572937,
350
+ "learning_rate": 0.00010079735009246167,
351
+ "loss": 0.7434,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.5593607305936074,
356
+ "grad_norm": 0.5372945070266724,
357
+ "learning_rate": 9.681110654788482e-05,
358
+ "loss": 0.7443,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.5707762557077626,
363
+ "grad_norm": 0.5424056649208069,
364
+ "learning_rate": 9.282993092381625e-05,
365
+ "loss": 0.7252,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.5821917808219178,
370
+ "grad_norm": 0.4267898201942444,
371
+ "learning_rate": 8.886015026814736e-05,
372
+ "loss": 0.7374,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.593607305936073,
377
+ "grad_norm": 0.4452318251132965,
378
+ "learning_rate": 8.490807351941753e-05,
379
+ "loss": 0.7374,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.6050228310502284,
384
+ "grad_norm": 0.5267938375473022,
385
+ "learning_rate": 8.097998148038985e-05,
386
+ "loss": 0.7369,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.6164383561643836,
391
+ "grad_norm": 0.49687665700912476,
392
+ "learning_rate": 7.708211683634112e-05,
393
+ "loss": 0.7324,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.6278538812785388,
398
+ "grad_norm": 0.4589200019836426,
399
+ "learning_rate": 7.322067423393002e-05,
400
+ "loss": 0.727,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.639269406392694,
405
+ "grad_norm": 0.6677468419075012,
406
+ "learning_rate": 6.940179043641005e-05,
407
+ "loss": 0.7265,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.6506849315068494,
412
+ "grad_norm": 0.4672200679779053,
413
+ "learning_rate": 6.563153457083315e-05,
414
+ "loss": 0.7358,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 0.6621004566210046,
419
+ "grad_norm": 0.48395875096321106,
420
+ "learning_rate": 6.191589848274368e-05,
421
+ "loss": 0.732,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 0.6735159817351598,
426
+ "grad_norm": 0.4542995095252991,
427
+ "learning_rate": 5.82607872136913e-05,
428
+ "loss": 0.7365,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 0.684931506849315,
433
+ "grad_norm": 0.46610426902770996,
434
+ "learning_rate": 5.467200961669619e-05,
435
+ "loss": 0.7272,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 0.6963470319634704,
440
+ "grad_norm": 0.47753971815109253,
441
+ "learning_rate": 5.115526912458113e-05,
442
+ "loss": 0.7256,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 0.7077625570776256,
447
+ "grad_norm": 0.5854398012161255,
448
+ "learning_rate": 4.7716154685841944e-05,
449
+ "loss": 0.7407,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 0.7191780821917808,
454
+ "grad_norm": 0.4733522832393646,
455
+ "learning_rate": 4.4360131882460555e-05,
456
+ "loss": 0.746,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 0.730593607305936,
461
+ "grad_norm": 0.49361252784729004,
462
+ "learning_rate": 4.109253424377772e-05,
463
+ "loss": 0.7349,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 0.7420091324200914,
468
+ "grad_norm": 0.5429126620292664,
469
+ "learning_rate": 3.791855477022903e-05,
470
+ "loss": 0.7281,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 0.7534246575342466,
475
+ "grad_norm": 0.48451346158981323,
476
+ "learning_rate": 3.4843237680415156e-05,
477
+ "loss": 0.728,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 0.7648401826484018,
482
+ "grad_norm": 0.4551585018634796,
483
+ "learning_rate": 3.1871470394622404e-05,
484
+ "loss": 0.715,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 0.776255707762557,
489
+ "grad_norm": 0.5019502639770508,
490
+ "learning_rate": 2.9007975767533714e-05,
491
+ "loss": 0.7269,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 0.7876712328767124,
496
+ "grad_norm": 0.43697601556777954,
497
+ "learning_rate": 2.625730458247362e-05,
498
+ "loss": 0.735,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 0.7990867579908676,
503
+ "grad_norm": 0.4500909149646759,
504
+ "learning_rate": 2.3623828319116748e-05,
505
+ "loss": 0.7368,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 0.8105022831050228,
510
+ "grad_norm": 0.455743670463562,
511
+ "learning_rate": 2.1111732206152424e-05,
512
+ "loss": 0.7385,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 0.821917808219178,
517
+ "grad_norm": 0.4662931561470032,
518
+ "learning_rate": 1.8725008569947365e-05,
519
+ "loss": 0.7389,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 0.8333333333333334,
524
+ "grad_norm": 0.45579805970191956,
525
+ "learning_rate": 1.6467450489776582e-05,
526
+ "loss": 0.7271,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 0.8447488584474886,
531
+ "grad_norm": 0.4291900098323822,
532
+ "learning_rate": 1.4342645769705977e-05,
533
+ "loss": 0.7224,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 0.8561643835616438,
538
+ "grad_norm": 0.43814659118652344,
539
+ "learning_rate": 1.2353971236706564e-05,
540
+ "loss": 0.736,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 0.867579908675799,
545
+ "grad_norm": 0.45001426339149475,
546
+ "learning_rate": 1.0504587374062391e-05,
547
+ "loss": 0.7174,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 0.8789954337899544,
552
+ "grad_norm": 0.5118018388748169,
553
+ "learning_rate": 8.797433298600622e-06,
554
+ "loss": 0.7214,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 0.8904109589041096,
559
+ "grad_norm": 0.4473750591278076,
560
+ "learning_rate": 7.235222089726279e-06,
561
+ "loss": 0.7279,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 0.9018264840182648,
566
+ "grad_norm": 0.44456323981285095,
567
+ "learning_rate": 5.82043647768502e-06,
568
+ "loss": 0.736,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 0.91324200913242,
573
+ "grad_norm": 0.4372852146625519,
574
+ "learning_rate": 4.555324897906132e-06,
575
+ "loss": 0.7248,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 0.9246575342465754,
580
+ "grad_norm": 0.44558244943618774,
581
+ "learning_rate": 3.441897917696679e-06,
582
+ "loss": 0.7276,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 0.9360730593607306,
587
+ "grad_norm": 0.4511885941028595,
588
+ "learning_rate": 2.4819250409651607e-06,
589
+ "loss": 0.7269,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 0.9474885844748858,
594
+ "grad_norm": 0.4582946002483368,
595
+ "learning_rate": 1.6769318960533464e-06,
596
+ "loss": 0.729,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 0.958904109589041,
601
+ "grad_norm": 0.43736863136291504,
602
+ "learning_rate": 1.0281978111449375e-06,
603
+ "loss": 0.7401,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 0.9703196347031964,
608
+ "grad_norm": 0.4510857164859772,
609
+ "learning_rate": 5.367537811046485e-07,
610
+ "loss": 0.7356,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 0.9817351598173516,
615
+ "grad_norm": 0.4327021539211273,
616
+ "learning_rate": 2.0338082897886079e-07,
617
+ "loss": 0.7222,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 0.9931506849315068,
622
+ "grad_norm": 0.44210952520370483,
623
+ "learning_rate": 2.8608764761639538e-08,
624
+ "loss": 0.7244,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 1.0,
629
+ "eval_loss": 1.8283706903457642,
630
+ "eval_runtime": 0.9325,
631
+ "eval_samples_per_second": 12.868,
632
+ "eval_steps_per_second": 1.072,
633
+ "step": 438
634
+ },
635
+ {
636
+ "epoch": 1.0,
637
+ "step": 438,
638
+ "total_flos": 6.128949620228751e+17,
639
+ "train_loss": 0.7978243280763495,
640
+ "train_runtime": 3115.8127,
641
+ "train_samples_per_second": 4.494,
642
+ "train_steps_per_second": 0.141
643
+ }
644
+ ],
645
+ "logging_steps": 5,
646
+ "max_steps": 438,
647
+ "num_input_tokens_seen": 0,
648
+ "num_train_epochs": 1,
649
+ "save_steps": 100,
650
+ "stateful_callbacks": {
651
+ "TrainerControl": {
652
+ "args": {
653
+ "should_epoch_stop": false,
654
+ "should_evaluate": false,
655
+ "should_log": false,
656
+ "should_save": true,
657
+ "should_training_stop": true
658
+ },
659
+ "attributes": {}
660
+ }
661
+ },
662
+ "total_flos": 6.128949620228751e+17,
663
+ "train_batch_size": 2,
664
+ "trial_name": null,
665
+ "trial_params": null
666
+ }