GaetanMichelet commited on
Commit
99bd669
1 Parent(s): f381f9e

Model save

Browse files
README.md ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
3
+ library_name: peft
4
+ license: llama3.1
5
+ tags:
6
+ - trl
7
+ - sft
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: Llama-31-8B_task-1_180-samples_config-1_auto
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # Llama-31-8B_task-1_180-samples_config-1_auto
18
+
19
+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 1.5976
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 0.0001
41
+ - train_batch_size: 1
42
+ - eval_batch_size: 1
43
+ - seed: 42
44
+ - distributed_type: multi-GPU
45
+ - gradient_accumulation_steps: 8
46
+ - total_train_batch_size: 8
47
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
+ - lr_scheduler_type: cosine
49
+ - lr_scheduler_warmup_ratio: 0.1
50
+ - num_epochs: 50
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss |
55
+ |:-------------:|:-----:|:----:|:---------------:|
56
+ | 1.063 | 1.0 | 17 | 1.0966 |
57
+ | 0.8972 | 2.0 | 34 | 0.9600 |
58
+ | 0.8866 | 3.0 | 51 | 0.8879 |
59
+ | 0.7569 | 4.0 | 68 | 0.8909 |
60
+ | 0.5434 | 5.0 | 85 | 0.9380 |
61
+ | 0.4043 | 6.0 | 102 | 1.0244 |
62
+ | 0.2016 | 7.0 | 119 | 1.2544 |
63
+ | 0.1537 | 8.0 | 136 | 1.4366 |
64
+ | 0.1035 | 9.0 | 153 | 1.5816 |
65
+ | 0.058 | 10.0 | 170 | 1.5976 |
66
+
67
+
68
+ ### Framework versions
69
+
70
+ - PEFT 0.12.0
71
+ - Transformers 4.44.0
72
+ - Pytorch 2.1.2+cu121
73
+ - Datasets 2.20.0
74
+ - Tokenizers 0.19.1
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6dfe4271ac193b41ef2e7817ba1e41aea978adfa0afbe5f28a0485351d52dcf1
3
  size 167832240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:667d545fbbcd818e9f3d31b60a0e2066e86468da78bfab62899c27fc79f6df04
3
  size 167832240
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "total_flos": 2.3077113934381056e+16,
4
+ "train_loss": 0.5135380078764523,
5
+ "train_runtime": 1642.2115,
6
+ "train_samples": 136,
7
+ "train_samples_per_second": 4.141,
8
+ "train_steps_per_second": 0.518
9
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "total_flos": 2.3077113934381056e+16,
4
+ "train_loss": 0.5135380078764523,
5
+ "train_runtime": 1642.2115,
6
+ "train_samples": 136,
7
+ "train_samples_per_second": 4.141,
8
+ "train_steps_per_second": 0.518
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,733 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8879411220550537,
3
+ "best_model_checkpoint": "data/Llama-31-8B_task-1_180-samples_config-1_auto/checkpoint-51",
4
+ "epoch": 10.0,
5
+ "eval_steps": 500,
6
+ "global_step": 170,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.058823529411764705,
13
+ "grad_norm": 0.8497962355613708,
14
+ "learning_rate": 1.1764705882352942e-06,
15
+ "loss": 1.152,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.11764705882352941,
20
+ "grad_norm": 0.7685027718544006,
21
+ "learning_rate": 2.3529411764705885e-06,
22
+ "loss": 1.1245,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.23529411764705882,
27
+ "grad_norm": 0.8295040726661682,
28
+ "learning_rate": 4.705882352941177e-06,
29
+ "loss": 1.1305,
30
+ "step": 4
31
+ },
32
+ {
33
+ "epoch": 0.35294117647058826,
34
+ "grad_norm": 0.7829303741455078,
35
+ "learning_rate": 7.058823529411765e-06,
36
+ "loss": 1.1529,
37
+ "step": 6
38
+ },
39
+ {
40
+ "epoch": 0.47058823529411764,
41
+ "grad_norm": 0.9397178888320923,
42
+ "learning_rate": 9.411764705882354e-06,
43
+ "loss": 1.2086,
44
+ "step": 8
45
+ },
46
+ {
47
+ "epoch": 0.5882352941176471,
48
+ "grad_norm": 0.8592646718025208,
49
+ "learning_rate": 1.1764705882352942e-05,
50
+ "loss": 1.146,
51
+ "step": 10
52
+ },
53
+ {
54
+ "epoch": 0.7058823529411765,
55
+ "grad_norm": 0.8117731213569641,
56
+ "learning_rate": 1.411764705882353e-05,
57
+ "loss": 1.1521,
58
+ "step": 12
59
+ },
60
+ {
61
+ "epoch": 0.8235294117647058,
62
+ "grad_norm": 0.942381739616394,
63
+ "learning_rate": 1.647058823529412e-05,
64
+ "loss": 1.1951,
65
+ "step": 14
66
+ },
67
+ {
68
+ "epoch": 0.9411764705882353,
69
+ "grad_norm": 0.8439870476722717,
70
+ "learning_rate": 1.8823529411764708e-05,
71
+ "loss": 1.063,
72
+ "step": 16
73
+ },
74
+ {
75
+ "epoch": 1.0,
76
+ "eval_loss": 1.0966124534606934,
77
+ "eval_runtime": 14.8546,
78
+ "eval_samples_per_second": 2.423,
79
+ "eval_steps_per_second": 2.423,
80
+ "step": 17
81
+ },
82
+ {
83
+ "epoch": 1.0588235294117647,
84
+ "grad_norm": 0.6530096530914307,
85
+ "learning_rate": 2.1176470588235296e-05,
86
+ "loss": 1.0444,
87
+ "step": 18
88
+ },
89
+ {
90
+ "epoch": 1.1764705882352942,
91
+ "grad_norm": 0.6262273192405701,
92
+ "learning_rate": 2.3529411764705884e-05,
93
+ "loss": 1.0208,
94
+ "step": 20
95
+ },
96
+ {
97
+ "epoch": 1.2941176470588236,
98
+ "grad_norm": 0.48974114656448364,
99
+ "learning_rate": 2.5882352941176475e-05,
100
+ "loss": 0.9786,
101
+ "step": 22
102
+ },
103
+ {
104
+ "epoch": 1.4117647058823528,
105
+ "grad_norm": 0.4904261529445648,
106
+ "learning_rate": 2.823529411764706e-05,
107
+ "loss": 0.985,
108
+ "step": 24
109
+ },
110
+ {
111
+ "epoch": 1.5294117647058822,
112
+ "grad_norm": 0.5825740098953247,
113
+ "learning_rate": 3.058823529411765e-05,
114
+ "loss": 0.9792,
115
+ "step": 26
116
+ },
117
+ {
118
+ "epoch": 1.6470588235294117,
119
+ "grad_norm": 0.5803666114807129,
120
+ "learning_rate": 3.294117647058824e-05,
121
+ "loss": 0.967,
122
+ "step": 28
123
+ },
124
+ {
125
+ "epoch": 1.7647058823529411,
126
+ "grad_norm": 0.7749001383781433,
127
+ "learning_rate": 3.529411764705883e-05,
128
+ "loss": 0.9196,
129
+ "step": 30
130
+ },
131
+ {
132
+ "epoch": 1.8823529411764706,
133
+ "grad_norm": 0.5416077375411987,
134
+ "learning_rate": 3.7647058823529415e-05,
135
+ "loss": 0.9206,
136
+ "step": 32
137
+ },
138
+ {
139
+ "epoch": 2.0,
140
+ "grad_norm": 0.4670708179473877,
141
+ "learning_rate": 4e-05,
142
+ "loss": 0.8972,
143
+ "step": 34
144
+ },
145
+ {
146
+ "epoch": 2.0,
147
+ "eval_loss": 0.9599697589874268,
148
+ "eval_runtime": 14.8593,
149
+ "eval_samples_per_second": 2.423,
150
+ "eval_steps_per_second": 2.423,
151
+ "step": 34
152
+ },
153
+ {
154
+ "epoch": 2.1176470588235294,
155
+ "grad_norm": 0.48657140135765076,
156
+ "learning_rate": 4.235294117647059e-05,
157
+ "loss": 0.8047,
158
+ "step": 36
159
+ },
160
+ {
161
+ "epoch": 2.235294117647059,
162
+ "grad_norm": 0.4843344986438751,
163
+ "learning_rate": 4.470588235294118e-05,
164
+ "loss": 0.8273,
165
+ "step": 38
166
+ },
167
+ {
168
+ "epoch": 2.3529411764705883,
169
+ "grad_norm": 0.5899777412414551,
170
+ "learning_rate": 4.705882352941177e-05,
171
+ "loss": 0.8531,
172
+ "step": 40
173
+ },
174
+ {
175
+ "epoch": 2.4705882352941178,
176
+ "grad_norm": 0.6686798930168152,
177
+ "learning_rate": 4.9411764705882355e-05,
178
+ "loss": 0.8578,
179
+ "step": 42
180
+ },
181
+ {
182
+ "epoch": 2.588235294117647,
183
+ "grad_norm": 0.5812777876853943,
184
+ "learning_rate": 5.176470588235295e-05,
185
+ "loss": 0.8388,
186
+ "step": 44
187
+ },
188
+ {
189
+ "epoch": 2.7058823529411766,
190
+ "grad_norm": 0.6418431997299194,
191
+ "learning_rate": 5.411764705882353e-05,
192
+ "loss": 0.8559,
193
+ "step": 46
194
+ },
195
+ {
196
+ "epoch": 2.8235294117647056,
197
+ "grad_norm": 0.6979645490646362,
198
+ "learning_rate": 5.647058823529412e-05,
199
+ "loss": 0.8861,
200
+ "step": 48
201
+ },
202
+ {
203
+ "epoch": 2.9411764705882355,
204
+ "grad_norm": 0.7628887295722961,
205
+ "learning_rate": 5.882352941176471e-05,
206
+ "loss": 0.8866,
207
+ "step": 50
208
+ },
209
+ {
210
+ "epoch": 3.0,
211
+ "eval_loss": 0.8879411220550537,
212
+ "eval_runtime": 14.8984,
213
+ "eval_samples_per_second": 2.416,
214
+ "eval_steps_per_second": 2.416,
215
+ "step": 51
216
+ },
217
+ {
218
+ "epoch": 3.0588235294117645,
219
+ "grad_norm": 0.6387588381767273,
220
+ "learning_rate": 6.11764705882353e-05,
221
+ "loss": 0.7612,
222
+ "step": 52
223
+ },
224
+ {
225
+ "epoch": 3.176470588235294,
226
+ "grad_norm": 0.6679393649101257,
227
+ "learning_rate": 6.352941176470588e-05,
228
+ "loss": 0.729,
229
+ "step": 54
230
+ },
231
+ {
232
+ "epoch": 3.2941176470588234,
233
+ "grad_norm": 0.5764548182487488,
234
+ "learning_rate": 6.588235294117648e-05,
235
+ "loss": 0.7458,
236
+ "step": 56
237
+ },
238
+ {
239
+ "epoch": 3.411764705882353,
240
+ "grad_norm": 0.7429522275924683,
241
+ "learning_rate": 6.823529411764707e-05,
242
+ "loss": 0.8209,
243
+ "step": 58
244
+ },
245
+ {
246
+ "epoch": 3.5294117647058822,
247
+ "grad_norm": 0.7595254182815552,
248
+ "learning_rate": 7.058823529411765e-05,
249
+ "loss": 0.7054,
250
+ "step": 60
251
+ },
252
+ {
253
+ "epoch": 3.6470588235294117,
254
+ "grad_norm": 0.8727766275405884,
255
+ "learning_rate": 7.294117647058823e-05,
256
+ "loss": 0.7305,
257
+ "step": 62
258
+ },
259
+ {
260
+ "epoch": 3.764705882352941,
261
+ "grad_norm": 0.8094116449356079,
262
+ "learning_rate": 7.529411764705883e-05,
263
+ "loss": 0.7282,
264
+ "step": 64
265
+ },
266
+ {
267
+ "epoch": 3.8823529411764706,
268
+ "grad_norm": 0.8250320553779602,
269
+ "learning_rate": 7.764705882352942e-05,
270
+ "loss": 0.6685,
271
+ "step": 66
272
+ },
273
+ {
274
+ "epoch": 4.0,
275
+ "grad_norm": 0.9825006723403931,
276
+ "learning_rate": 8e-05,
277
+ "loss": 0.7569,
278
+ "step": 68
279
+ },
280
+ {
281
+ "epoch": 4.0,
282
+ "eval_loss": 0.8909105658531189,
283
+ "eval_runtime": 14.85,
284
+ "eval_samples_per_second": 2.424,
285
+ "eval_steps_per_second": 2.424,
286
+ "step": 68
287
+ },
288
+ {
289
+ "epoch": 4.117647058823529,
290
+ "grad_norm": 0.8551511764526367,
291
+ "learning_rate": 8.23529411764706e-05,
292
+ "loss": 0.6476,
293
+ "step": 70
294
+ },
295
+ {
296
+ "epoch": 4.235294117647059,
297
+ "grad_norm": 0.9041043519973755,
298
+ "learning_rate": 8.470588235294118e-05,
299
+ "loss": 0.5779,
300
+ "step": 72
301
+ },
302
+ {
303
+ "epoch": 4.352941176470588,
304
+ "grad_norm": 0.8559205532073975,
305
+ "learning_rate": 8.705882352941177e-05,
306
+ "loss": 0.556,
307
+ "step": 74
308
+ },
309
+ {
310
+ "epoch": 4.470588235294118,
311
+ "grad_norm": 1.0176703929901123,
312
+ "learning_rate": 8.941176470588236e-05,
313
+ "loss": 0.5848,
314
+ "step": 76
315
+ },
316
+ {
317
+ "epoch": 4.588235294117647,
318
+ "grad_norm": 1.060314655303955,
319
+ "learning_rate": 9.176470588235295e-05,
320
+ "loss": 0.6266,
321
+ "step": 78
322
+ },
323
+ {
324
+ "epoch": 4.705882352941177,
325
+ "grad_norm": 1.0777111053466797,
326
+ "learning_rate": 9.411764705882353e-05,
327
+ "loss": 0.5796,
328
+ "step": 80
329
+ },
330
+ {
331
+ "epoch": 4.823529411764706,
332
+ "grad_norm": 0.9776031374931335,
333
+ "learning_rate": 9.647058823529412e-05,
334
+ "loss": 0.5944,
335
+ "step": 82
336
+ },
337
+ {
338
+ "epoch": 4.9411764705882355,
339
+ "grad_norm": 1.0351969003677368,
340
+ "learning_rate": 9.882352941176471e-05,
341
+ "loss": 0.5434,
342
+ "step": 84
343
+ },
344
+ {
345
+ "epoch": 5.0,
346
+ "eval_loss": 0.9380133152008057,
347
+ "eval_runtime": 14.8489,
348
+ "eval_samples_per_second": 2.424,
349
+ "eval_steps_per_second": 2.424,
350
+ "step": 85
351
+ },
352
+ {
353
+ "epoch": 5.0588235294117645,
354
+ "grad_norm": 1.1650046110153198,
355
+ "learning_rate": 9.99995783847866e-05,
356
+ "loss": 0.45,
357
+ "step": 86
358
+ },
359
+ {
360
+ "epoch": 5.176470588235294,
361
+ "grad_norm": 1.0582606792449951,
362
+ "learning_rate": 9.999620550574153e-05,
363
+ "loss": 0.4109,
364
+ "step": 88
365
+ },
366
+ {
367
+ "epoch": 5.294117647058823,
368
+ "grad_norm": 1.3925597667694092,
369
+ "learning_rate": 9.998945997517956e-05,
370
+ "loss": 0.3884,
371
+ "step": 90
372
+ },
373
+ {
374
+ "epoch": 5.411764705882353,
375
+ "grad_norm": 1.4229979515075684,
376
+ "learning_rate": 9.997934224814173e-05,
377
+ "loss": 0.3328,
378
+ "step": 92
379
+ },
380
+ {
381
+ "epoch": 5.529411764705882,
382
+ "grad_norm": 1.7364519834518433,
383
+ "learning_rate": 9.996585300715116e-05,
384
+ "loss": 0.3646,
385
+ "step": 94
386
+ },
387
+ {
388
+ "epoch": 5.647058823529412,
389
+ "grad_norm": 1.492929220199585,
390
+ "learning_rate": 9.994899316216708e-05,
391
+ "loss": 0.3347,
392
+ "step": 96
393
+ },
394
+ {
395
+ "epoch": 5.764705882352941,
396
+ "grad_norm": 1.3663392066955566,
397
+ "learning_rate": 9.992876385052345e-05,
398
+ "loss": 0.4038,
399
+ "step": 98
400
+ },
401
+ {
402
+ "epoch": 5.882352941176471,
403
+ "grad_norm": 1.2712633609771729,
404
+ "learning_rate": 9.990516643685222e-05,
405
+ "loss": 0.4136,
406
+ "step": 100
407
+ },
408
+ {
409
+ "epoch": 6.0,
410
+ "grad_norm": 1.1909713745117188,
411
+ "learning_rate": 9.987820251299122e-05,
412
+ "loss": 0.4043,
413
+ "step": 102
414
+ },
415
+ {
416
+ "epoch": 6.0,
417
+ "eval_loss": 1.0244461297988892,
418
+ "eval_runtime": 14.8677,
419
+ "eval_samples_per_second": 2.421,
420
+ "eval_steps_per_second": 2.421,
421
+ "step": 102
422
+ },
423
+ {
424
+ "epoch": 6.117647058823529,
425
+ "grad_norm": 0.9694238305091858,
426
+ "learning_rate": 9.984787389787688e-05,
427
+ "loss": 0.2091,
428
+ "step": 104
429
+ },
430
+ {
431
+ "epoch": 6.235294117647059,
432
+ "grad_norm": 1.199276089668274,
433
+ "learning_rate": 9.981418263742148e-05,
434
+ "loss": 0.2182,
435
+ "step": 106
436
+ },
437
+ {
438
+ "epoch": 6.352941176470588,
439
+ "grad_norm": 1.8628352880477905,
440
+ "learning_rate": 9.977713100437509e-05,
441
+ "loss": 0.2409,
442
+ "step": 108
443
+ },
444
+ {
445
+ "epoch": 6.470588235294118,
446
+ "grad_norm": 1.8579826354980469,
447
+ "learning_rate": 9.973672149817232e-05,
448
+ "loss": 0.2414,
449
+ "step": 110
450
+ },
451
+ {
452
+ "epoch": 6.588235294117647,
453
+ "grad_norm": 1.615858554840088,
454
+ "learning_rate": 9.96929568447637e-05,
455
+ "loss": 0.1668,
456
+ "step": 112
457
+ },
458
+ {
459
+ "epoch": 6.705882352941177,
460
+ "grad_norm": 1.4381364583969116,
461
+ "learning_rate": 9.964583999643174e-05,
462
+ "loss": 0.1802,
463
+ "step": 114
464
+ },
465
+ {
466
+ "epoch": 6.823529411764706,
467
+ "grad_norm": 1.4709198474884033,
468
+ "learning_rate": 9.95953741315919e-05,
469
+ "loss": 0.2125,
470
+ "step": 116
471
+ },
472
+ {
473
+ "epoch": 6.9411764705882355,
474
+ "grad_norm": 1.218277096748352,
475
+ "learning_rate": 9.954156265457801e-05,
476
+ "loss": 0.2016,
477
+ "step": 118
478
+ },
479
+ {
480
+ "epoch": 7.0,
481
+ "eval_loss": 1.2543505430221558,
482
+ "eval_runtime": 14.8652,
483
+ "eval_samples_per_second": 2.422,
484
+ "eval_steps_per_second": 2.422,
485
+ "step": 119
486
+ },
487
+ {
488
+ "epoch": 7.0588235294117645,
489
+ "grad_norm": 0.8317411541938782,
490
+ "learning_rate": 9.948440919541278e-05,
491
+ "loss": 0.1703,
492
+ "step": 120
493
+ },
494
+ {
495
+ "epoch": 7.176470588235294,
496
+ "grad_norm": 1.2203559875488281,
497
+ "learning_rate": 9.942391760956277e-05,
498
+ "loss": 0.1316,
499
+ "step": 122
500
+ },
501
+ {
502
+ "epoch": 7.294117647058823,
503
+ "grad_norm": 1.245187520980835,
504
+ "learning_rate": 9.936009197767845e-05,
505
+ "loss": 0.1145,
506
+ "step": 124
507
+ },
508
+ {
509
+ "epoch": 7.411764705882353,
510
+ "grad_norm": 1.4678796529769897,
511
+ "learning_rate": 9.929293660531888e-05,
512
+ "loss": 0.1171,
513
+ "step": 126
514
+ },
515
+ {
516
+ "epoch": 7.529411764705882,
517
+ "grad_norm": 1.8378161191940308,
518
+ "learning_rate": 9.922245602266118e-05,
519
+ "loss": 0.1225,
520
+ "step": 128
521
+ },
522
+ {
523
+ "epoch": 7.647058823529412,
524
+ "grad_norm": 1.6163164377212524,
525
+ "learning_rate": 9.91486549841951e-05,
526
+ "loss": 0.1153,
527
+ "step": 130
528
+ },
529
+ {
530
+ "epoch": 7.764705882352941,
531
+ "grad_norm": 1.88551664352417,
532
+ "learning_rate": 9.90715384684021e-05,
533
+ "loss": 0.1057,
534
+ "step": 132
535
+ },
536
+ {
537
+ "epoch": 7.882352941176471,
538
+ "grad_norm": 1.2052146196365356,
539
+ "learning_rate": 9.899111167741966e-05,
540
+ "loss": 0.1279,
541
+ "step": 134
542
+ },
543
+ {
544
+ "epoch": 8.0,
545
+ "grad_norm": 1.574941873550415,
546
+ "learning_rate": 9.890738003669029e-05,
547
+ "loss": 0.1537,
548
+ "step": 136
549
+ },
550
+ {
551
+ "epoch": 8.0,
552
+ "eval_loss": 1.4365975856781006,
553
+ "eval_runtime": 14.8515,
554
+ "eval_samples_per_second": 2.424,
555
+ "eval_steps_per_second": 2.424,
556
+ "step": 136
557
+ },
558
+ {
559
+ "epoch": 8.117647058823529,
560
+ "grad_norm": 0.8787940144538879,
561
+ "learning_rate": 9.882034919459555e-05,
562
+ "loss": 0.081,
563
+ "step": 138
564
+ },
565
+ {
566
+ "epoch": 8.235294117647058,
567
+ "grad_norm": 1.0354961156845093,
568
+ "learning_rate": 9.873002502207503e-05,
569
+ "loss": 0.0836,
570
+ "step": 140
571
+ },
572
+ {
573
+ "epoch": 8.352941176470589,
574
+ "grad_norm": 1.1069930791854858,
575
+ "learning_rate": 9.863641361223024e-05,
576
+ "loss": 0.0896,
577
+ "step": 142
578
+ },
579
+ {
580
+ "epoch": 8.470588235294118,
581
+ "grad_norm": 0.8952913880348206,
582
+ "learning_rate": 9.853952127991372e-05,
583
+ "loss": 0.0912,
584
+ "step": 144
585
+ },
586
+ {
587
+ "epoch": 8.588235294117647,
588
+ "grad_norm": 1.3685219287872314,
589
+ "learning_rate": 9.843935456130295e-05,
590
+ "loss": 0.0712,
591
+ "step": 146
592
+ },
593
+ {
594
+ "epoch": 8.705882352941176,
595
+ "grad_norm": 1.4462240934371948,
596
+ "learning_rate": 9.833592021345937e-05,
597
+ "loss": 0.0835,
598
+ "step": 148
599
+ },
600
+ {
601
+ "epoch": 8.823529411764707,
602
+ "grad_norm": 1.395073652267456,
603
+ "learning_rate": 9.822922521387276e-05,
604
+ "loss": 0.0853,
605
+ "step": 150
606
+ },
607
+ {
608
+ "epoch": 8.941176470588236,
609
+ "grad_norm": 1.7228752374649048,
610
+ "learning_rate": 9.811927675999036e-05,
611
+ "loss": 0.1035,
612
+ "step": 152
613
+ },
614
+ {
615
+ "epoch": 9.0,
616
+ "eval_loss": 1.5816410779953003,
617
+ "eval_runtime": 14.8567,
618
+ "eval_samples_per_second": 2.423,
619
+ "eval_steps_per_second": 2.423,
620
+ "step": 153
621
+ },
622
+ {
623
+ "epoch": 9.058823529411764,
624
+ "grad_norm": 1.1363343000411987,
625
+ "learning_rate": 9.800608226873142e-05,
626
+ "loss": 0.0681,
627
+ "step": 154
628
+ },
629
+ {
630
+ "epoch": 9.176470588235293,
631
+ "grad_norm": 1.0412440299987793,
632
+ "learning_rate": 9.788964937598689e-05,
633
+ "loss": 0.056,
634
+ "step": 156
635
+ },
636
+ {
637
+ "epoch": 9.294117647058824,
638
+ "grad_norm": 1.0078048706054688,
639
+ "learning_rate": 9.776998593610428e-05,
640
+ "loss": 0.0527,
641
+ "step": 158
642
+ },
643
+ {
644
+ "epoch": 9.411764705882353,
645
+ "grad_norm": 1.0799468755722046,
646
+ "learning_rate": 9.764710002135784e-05,
647
+ "loss": 0.0574,
648
+ "step": 160
649
+ },
650
+ {
651
+ "epoch": 9.529411764705882,
652
+ "grad_norm": 1.0495719909667969,
653
+ "learning_rate": 9.752099992140399e-05,
654
+ "loss": 0.0515,
655
+ "step": 162
656
+ },
657
+ {
658
+ "epoch": 9.647058823529411,
659
+ "grad_norm": 1.273497223854065,
660
+ "learning_rate": 9.739169414272217e-05,
661
+ "loss": 0.0729,
662
+ "step": 164
663
+ },
664
+ {
665
+ "epoch": 9.764705882352942,
666
+ "grad_norm": 1.1731970310211182,
667
+ "learning_rate": 9.725919140804099e-05,
668
+ "loss": 0.0769,
669
+ "step": 166
670
+ },
671
+ {
672
+ "epoch": 9.882352941176471,
673
+ "grad_norm": 1.1258608102798462,
674
+ "learning_rate": 9.71235006557497e-05,
675
+ "loss": 0.0703,
676
+ "step": 168
677
+ },
678
+ {
679
+ "epoch": 10.0,
680
+ "grad_norm": 1.2797598838806152,
681
+ "learning_rate": 9.698463103929542e-05,
682
+ "loss": 0.058,
683
+ "step": 170
684
+ },
685
+ {
686
+ "epoch": 10.0,
687
+ "eval_loss": 1.5976319313049316,
688
+ "eval_runtime": 14.856,
689
+ "eval_samples_per_second": 2.423,
690
+ "eval_steps_per_second": 2.423,
691
+ "step": 170
692
+ },
693
+ {
694
+ "epoch": 10.0,
695
+ "step": 170,
696
+ "total_flos": 2.3077113934381056e+16,
697
+ "train_loss": 0.5135380078764523,
698
+ "train_runtime": 1642.2115,
699
+ "train_samples_per_second": 4.141,
700
+ "train_steps_per_second": 0.518
701
+ }
702
+ ],
703
+ "logging_steps": 2,
704
+ "max_steps": 850,
705
+ "num_input_tokens_seen": 0,
706
+ "num_train_epochs": 50,
707
+ "save_steps": 25,
708
+ "stateful_callbacks": {
709
+ "EarlyStoppingCallback": {
710
+ "args": {
711
+ "early_stopping_patience": 7,
712
+ "early_stopping_threshold": 0.0
713
+ },
714
+ "attributes": {
715
+ "early_stopping_patience_counter": 0
716
+ }
717
+ },
718
+ "TrainerControl": {
719
+ "args": {
720
+ "should_epoch_stop": false,
721
+ "should_evaluate": false,
722
+ "should_log": false,
723
+ "should_save": true,
724
+ "should_training_stop": true
725
+ },
726
+ "attributes": {}
727
+ }
728
+ },
729
+ "total_flos": 2.3077113934381056e+16,
730
+ "train_batch_size": 1,
731
+ "trial_name": null,
732
+ "trial_params": null
733
+ }