sedrickkeh commited on
Commit
f566683
1 Parent(s): b5f4085

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
4
  base_model: mistralai/Mistral-7B-v0.1
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: hp_ablations_grid_mistral_bsz2048_lr2e-6_scheduler-cosine-warmup0.15-minlr5e-7
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # hp_ablations_grid_mistral_bsz2048_lr2e-6_scheduler-cosine-warmup0.15-minlr5e-7
17
 
18
- This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.0602
21
 
 
4
  base_model: mistralai/Mistral-7B-v0.1
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: hp_ablations_grid_mistral_bsz2048_lr2e-6_scheduler-cosine-warmup0.15-minlr5e-7
 
16
 
17
  # hp_ablations_grid_mistral_bsz2048_lr2e-6_scheduler-cosine-warmup0.15-minlr5e-7
18
 
19
+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the mlfoundations-dev/oh-dcft-v3-llama3.1-nemotron-70b_shareGPT_format dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.0602
22
 
all_results.json CHANGED
@@ -1,12 +1,12 @@
1
  {
2
  "epoch": 3.0,
3
- "eval_loss": 0.05991922318935394,
4
- "eval_runtime": 115.096,
5
- "eval_samples_per_second": 157.286,
6
- "eval_steps_per_second": 0.617,
7
  "total_flos": 3376037568184320.0,
8
- "train_loss": 0.5144212938963421,
9
- "train_runtime": 17119.0234,
10
- "train_samples_per_second": 60.276,
11
  "train_steps_per_second": 0.029
12
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "eval_loss": 0.06018054857850075,
4
+ "eval_runtime": 115.6102,
5
+ "eval_samples_per_second": 156.587,
6
+ "eval_steps_per_second": 0.614,
7
  "total_flos": 3376037568184320.0,
8
+ "train_loss": 0.518157976960379,
9
+ "train_runtime": 17131.2553,
10
+ "train_samples_per_second": 60.233,
11
  "train_steps_per_second": 0.029
12
  }
eval_results.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
  "epoch": 3.0,
3
- "eval_loss": 0.05991922318935394,
4
- "eval_runtime": 115.096,
5
- "eval_samples_per_second": 157.286,
6
- "eval_steps_per_second": 0.617
7
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "eval_loss": 0.06018054857850075,
4
+ "eval_runtime": 115.6102,
5
+ "eval_samples_per_second": 156.587,
6
+ "eval_steps_per_second": 0.614
7
  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 3.0,
3
  "total_flos": 3376037568184320.0,
4
- "train_loss": 0.5144212938963421,
5
- "train_runtime": 17119.0234,
6
- "train_samples_per_second": 60.276,
7
  "train_steps_per_second": 0.029
8
  }
 
1
  {
2
  "epoch": 3.0,
3
  "total_flos": 3376037568184320.0,
4
+ "train_loss": 0.518157976960379,
5
+ "train_runtime": 17131.2553,
6
+ "train_samples_per_second": 60.233,
7
  "train_steps_per_second": 0.029
8
  }
trainer_state.json CHANGED
@@ -10,385 +10,385 @@
10
  "log_history": [
11
  {
12
  "epoch": 0.05952380952380952,
13
- "grad_norm": 11.642287552521111,
14
  "learning_rate": 2.631578947368421e-07,
15
- "loss": 0.8829,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.11904761904761904,
20
- "grad_norm": 7.106858407842631,
21
  "learning_rate": 5.263157894736842e-07,
22
  "loss": 0.8087,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 0.17857142857142858,
27
- "grad_norm": 2.093269967612724,
28
  "learning_rate": 7.894736842105263e-07,
29
- "loss": 0.7296,
30
  "step": 30
31
  },
32
  {
33
  "epoch": 0.23809523809523808,
34
- "grad_norm": 1.2477023318233176,
35
  "learning_rate": 1.0526315789473683e-06,
36
  "loss": 0.6712,
37
  "step": 40
38
  },
39
  {
40
  "epoch": 0.2976190476190476,
41
- "grad_norm": 1.0512343429003204,
42
  "learning_rate": 1.3157894736842106e-06,
43
- "loss": 0.6321,
44
  "step": 50
45
  },
46
  {
47
  "epoch": 0.35714285714285715,
48
- "grad_norm": 4.474475922392763,
49
  "learning_rate": 1.5789473684210526e-06,
50
- "loss": 0.6026,
51
  "step": 60
52
  },
53
  {
54
  "epoch": 0.4166666666666667,
55
- "grad_norm": 1.6529279657405915,
56
  "learning_rate": 1.8421052631578946e-06,
57
- "loss": 0.5884,
58
  "step": 70
59
  },
60
  {
61
  "epoch": 0.47619047619047616,
62
- "grad_norm": 2.7949986781945366,
63
  "learning_rate": 1.9996767546702485e-06,
64
- "loss": 0.5783,
65
  "step": 80
66
  },
67
  {
68
  "epoch": 0.5357142857142857,
69
- "grad_norm": 2.118745503355743,
70
  "learning_rate": 1.996043443883064e-06,
71
- "loss": 0.5706,
72
  "step": 90
73
  },
74
  {
75
  "epoch": 0.5952380952380952,
76
- "grad_norm": 2.0357375426196147,
77
  "learning_rate": 1.988392397752233e-06,
78
- "loss": 0.5598,
79
  "step": 100
80
  },
81
  {
82
  "epoch": 0.6547619047619048,
83
- "grad_norm": 2.2701188124758,
84
  "learning_rate": 1.9767648201496052e-06,
85
- "loss": 0.5569,
86
  "step": 110
87
  },
88
  {
89
  "epoch": 0.7142857142857143,
90
- "grad_norm": 2.865482452040676,
91
  "learning_rate": 1.961223330122206e-06,
92
- "loss": 0.5477,
93
  "step": 120
94
  },
95
  {
96
  "epoch": 0.7738095238095238,
97
- "grad_norm": 2.7451064629160493,
98
  "learning_rate": 1.941851624664209e-06,
99
- "loss": 0.5459,
100
  "step": 130
101
  },
102
  {
103
  "epoch": 0.8333333333333334,
104
- "grad_norm": 2.0988347378452,
105
  "learning_rate": 1.9187540279759314e-06,
106
- "loss": 0.5383,
107
  "step": 140
108
  },
109
  {
110
  "epoch": 0.8928571428571429,
111
- "grad_norm": 1.7836154166022118,
112
  "learning_rate": 1.8920549296372686e-06,
113
- "loss": 0.5337,
114
  "step": 150
115
  },
116
  {
117
  "epoch": 0.9523809523809523,
118
- "grad_norm": 1.0480422517342471,
119
  "learning_rate": 1.861898114721218e-06,
120
- "loss": 0.528,
121
  "step": 160
122
  },
123
  {
124
  "epoch": 1.0,
125
- "eval_loss": 0.0656253919005394,
126
- "eval_runtime": 116.504,
127
- "eval_samples_per_second": 155.385,
128
- "eval_steps_per_second": 0.609,
129
  "step": 168
130
  },
131
  {
132
  "epoch": 1.0119047619047619,
133
- "grad_norm": 1.8121694809796869,
134
  "learning_rate": 1.8284459894551025e-06,
135
- "loss": 0.5223,
136
  "step": 170
137
  },
138
  {
139
  "epoch": 1.0714285714285714,
140
- "grad_norm": 1.420187622758248,
141
  "learning_rate": 1.7918787065996015e-06,
142
- "loss": 0.5032,
143
  "step": 180
144
  },
145
  {
146
  "epoch": 1.130952380952381,
147
- "grad_norm": 1.5424317018915787,
148
  "learning_rate": 1.7523931952557666e-06,
149
- "loss": 0.5004,
150
  "step": 190
151
  },
152
  {
153
  "epoch": 1.1904761904761905,
154
- "grad_norm": 1.850588186757041,
155
  "learning_rate": 1.7102021003248955e-06,
156
- "loss": 0.498,
157
  "step": 200
158
  },
159
  {
160
  "epoch": 1.25,
161
- "grad_norm": 1.4232612836192142,
162
  "learning_rate": 1.6655326373326793e-06,
163
- "loss": 0.4987,
164
  "step": 210
165
  },
166
  {
167
  "epoch": 1.3095238095238095,
168
- "grad_norm": 1.230835146194867,
169
  "learning_rate": 1.6186253687848507e-06,
170
- "loss": 0.493,
171
  "step": 220
172
  },
173
  {
174
  "epoch": 1.369047619047619,
175
- "grad_norm": 1.2193965194507899,
176
  "learning_rate": 1.569732908644127e-06,
177
- "loss": 0.4923,
178
  "step": 230
179
  },
180
  {
181
  "epoch": 1.4285714285714286,
182
- "grad_norm": 1.5201451501554284,
183
  "learning_rate": 1.5191185619053519e-06,
184
- "loss": 0.4902,
185
  "step": 240
186
  },
187
  {
188
  "epoch": 1.4880952380952381,
189
- "grad_norm": 1.2106618553239001,
190
  "learning_rate": 1.4670549065952552e-06,
191
- "loss": 0.4863,
192
  "step": 250
193
  },
194
  {
195
  "epoch": 1.5476190476190477,
196
- "grad_norm": 1.073369144919772,
197
  "learning_rate": 1.4138223258333096e-06,
198
- "loss": 0.4845,
199
  "step": 260
200
  },
201
  {
202
  "epoch": 1.6071428571428572,
203
- "grad_norm": 1.3569659774066425,
204
  "learning_rate": 1.3597074978591206e-06,
205
- "loss": 0.4823,
206
  "step": 270
207
  },
208
  {
209
  "epoch": 1.6666666666666665,
210
- "grad_norm": 1.1172719170259655,
211
  "learning_rate": 1.3050018521581279e-06,
212
- "loss": 0.4826,
213
  "step": 280
214
  },
215
  {
216
  "epoch": 1.7261904761904763,
217
- "grad_norm": 1.057235946491605,
218
  "learning_rate": 1.2499999999999999e-06,
219
- "loss": 0.4817,
220
  "step": 290
221
  },
222
  {
223
  "epoch": 1.7857142857142856,
224
- "grad_norm": 1.1395484188056737,
225
  "learning_rate": 1.1949981478418721e-06,
226
- "loss": 0.4763,
227
  "step": 300
228
  },
229
  {
230
  "epoch": 1.8452380952380953,
231
- "grad_norm": 0.9673060331448388,
232
  "learning_rate": 1.1402925021408796e-06,
233
- "loss": 0.4751,
234
  "step": 310
235
  },
236
  {
237
  "epoch": 1.9047619047619047,
238
- "grad_norm": 1.2716355726282513,
239
  "learning_rate": 1.0861776741666901e-06,
240
- "loss": 0.4743,
241
  "step": 320
242
  },
243
  {
244
  "epoch": 1.9642857142857144,
245
- "grad_norm": 0.8670777947729602,
246
  "learning_rate": 1.032945093404745e-06,
247
- "loss": 0.4738,
248
  "step": 330
249
  },
250
  {
251
  "epoch": 2.0,
252
- "eval_loss": 0.061109066009521484,
253
- "eval_runtime": 116.1265,
254
- "eval_samples_per_second": 155.89,
255
  "eval_steps_per_second": 0.611,
256
  "step": 336
257
  },
258
  {
259
  "epoch": 2.0238095238095237,
260
- "grad_norm": 1.1781799129689645,
261
  "learning_rate": 9.80881438094648e-07,
262
- "loss": 0.4626,
263
  "step": 340
264
  },
265
  {
266
  "epoch": 2.0833333333333335,
267
- "grad_norm": 1.196256029896588,
268
  "learning_rate": 9.302670913558731e-07,
269
- "loss": 0.4514,
270
  "step": 350
271
  },
272
  {
273
  "epoch": 2.142857142857143,
274
- "grad_norm": 1.240120670934915,
275
  "learning_rate": 8.813746312151494e-07,
276
- "loss": 0.4466,
277
  "step": 360
278
  },
279
  {
280
  "epoch": 2.2023809523809526,
281
- "grad_norm": 1.4515250964073299,
282
  "learning_rate": 8.344673626673205e-07,
283
- "loss": 0.4461,
284
  "step": 370
285
  },
286
  {
287
  "epoch": 2.261904761904762,
288
- "grad_norm": 0.8373786848430113,
289
  "learning_rate": 7.897978996751046e-07,
290
- "loss": 0.4491,
291
  "step": 380
292
  },
293
  {
294
  "epoch": 2.3214285714285716,
295
- "grad_norm": 1.0346083625080364,
296
  "learning_rate": 7.476068047442332e-07,
297
- "loss": 0.4443,
298
  "step": 390
299
  },
300
  {
301
  "epoch": 2.380952380952381,
302
- "grad_norm": 0.9459213157979981,
303
  "learning_rate": 7.081212934003984e-07,
304
- "loss": 0.4435,
305
  "step": 400
306
  },
307
  {
308
  "epoch": 2.4404761904761907,
309
- "grad_norm": 0.9958744135548997,
310
  "learning_rate": 6.715540105448972e-07,
311
- "loss": 0.4428,
312
  "step": 410
313
  },
314
  {
315
  "epoch": 2.5,
316
- "grad_norm": 0.9392635640773219,
317
  "learning_rate": 6.381018852787821e-07,
318
- "loss": 0.4427,
319
  "step": 420
320
  },
321
  {
322
  "epoch": 2.5595238095238093,
323
- "grad_norm": 0.7294108780936411,
324
  "learning_rate": 6.079450703627314e-07,
325
- "loss": 0.4443,
326
  "step": 430
327
  },
328
  {
329
  "epoch": 2.619047619047619,
330
- "grad_norm": 0.8142282440596496,
331
  "learning_rate": 5.812459720240681e-07,
332
- "loss": 0.4448,
333
  "step": 440
334
  },
335
  {
336
  "epoch": 2.678571428571429,
337
- "grad_norm": 0.8207822906148434,
338
  "learning_rate": 5.581483753357905e-07,
339
- "loss": 0.4425,
340
  "step": 450
341
  },
342
  {
343
  "epoch": 2.738095238095238,
344
- "grad_norm": 0.9245896216419172,
345
  "learning_rate": 5.387766698777935e-07,
346
- "loss": 0.4438,
347
  "step": 460
348
  },
349
  {
350
  "epoch": 2.7976190476190474,
351
- "grad_norm": 0.7453831990866285,
352
  "learning_rate": 5.232351798503945e-07,
353
- "loss": 0.4423,
354
  "step": 470
355
  },
356
  {
357
  "epoch": 2.857142857142857,
358
- "grad_norm": 0.8498775475082037,
359
  "learning_rate": 5.116076022477671e-07,
360
- "loss": 0.4416,
361
  "step": 480
362
  },
363
  {
364
  "epoch": 2.9166666666666665,
365
- "grad_norm": 0.8873720999371016,
366
  "learning_rate": 5.039565561169362e-07,
367
- "loss": 0.4385,
368
  "step": 490
369
  },
370
  {
371
  "epoch": 2.9761904761904763,
372
- "grad_norm": 0.8671697549026851,
373
  "learning_rate": 5.003232453297512e-07,
374
- "loss": 0.4405,
375
  "step": 500
376
  },
377
  {
378
  "epoch": 3.0,
379
- "eval_loss": 0.05991922318935394,
380
- "eval_runtime": 116.0997,
381
- "eval_samples_per_second": 155.926,
382
- "eval_steps_per_second": 0.612,
383
  "step": 504
384
  },
385
  {
386
  "epoch": 3.0,
387
  "step": 504,
388
  "total_flos": 3376037568184320.0,
389
- "train_loss": 0.5144212938963421,
390
- "train_runtime": 17119.0234,
391
- "train_samples_per_second": 60.276,
392
  "train_steps_per_second": 0.029
393
  }
394
  ],
 
10
  "log_history": [
11
  {
12
  "epoch": 0.05952380952380952,
13
+ "grad_norm": 11.633337718230726,
14
  "learning_rate": 2.631578947368421e-07,
15
+ "loss": 0.8828,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.11904761904761904,
20
+ "grad_norm": 7.106262599818549,
21
  "learning_rate": 5.263157894736842e-07,
22
  "loss": 0.8087,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 0.17857142857142858,
27
+ "grad_norm": 2.0015322743055655,
28
  "learning_rate": 7.894736842105263e-07,
29
+ "loss": 0.7295,
30
  "step": 30
31
  },
32
  {
33
  "epoch": 0.23809523809523808,
34
+ "grad_norm": 1.4753694520182823,
35
  "learning_rate": 1.0526315789473683e-06,
36
  "loss": 0.6712,
37
  "step": 40
38
  },
39
  {
40
  "epoch": 0.2976190476190476,
41
+ "grad_norm": 1.110295332689471,
42
  "learning_rate": 1.3157894736842106e-06,
43
+ "loss": 0.6325,
44
  "step": 50
45
  },
46
  {
47
  "epoch": 0.35714285714285715,
48
+ "grad_norm": 2.62423490064751,
49
  "learning_rate": 1.5789473684210526e-06,
50
+ "loss": 0.6019,
51
  "step": 60
52
  },
53
  {
54
  "epoch": 0.4166666666666667,
55
+ "grad_norm": 2.320671081832736,
56
  "learning_rate": 1.8421052631578946e-06,
57
+ "loss": 0.5851,
58
  "step": 70
59
  },
60
  {
61
  "epoch": 0.47619047619047616,
62
+ "grad_norm": 3.572874828764162,
63
  "learning_rate": 1.9996767546702485e-06,
64
+ "loss": 0.5748,
65
  "step": 80
66
  },
67
  {
68
  "epoch": 0.5357142857142857,
69
+ "grad_norm": 2.387950128798658,
70
  "learning_rate": 1.996043443883064e-06,
71
+ "loss": 0.5678,
72
  "step": 90
73
  },
74
  {
75
  "epoch": 0.5952380952380952,
76
+ "grad_norm": 2.3954023739686083,
77
  "learning_rate": 1.988392397752233e-06,
78
+ "loss": 0.5575,
79
  "step": 100
80
  },
81
  {
82
  "epoch": 0.6547619047619048,
83
+ "grad_norm": 2.9223208257498885,
84
  "learning_rate": 1.9767648201496052e-06,
85
+ "loss": 0.5551,
86
  "step": 110
87
  },
88
  {
89
  "epoch": 0.7142857142857143,
90
+ "grad_norm": 2.3303161266900063,
91
  "learning_rate": 1.961223330122206e-06,
92
+ "loss": 0.5468,
93
  "step": 120
94
  },
95
  {
96
  "epoch": 0.7738095238095238,
97
+ "grad_norm": 2.5697587476278088,
98
  "learning_rate": 1.941851624664209e-06,
99
+ "loss": 0.5452,
100
  "step": 130
101
  },
102
  {
103
  "epoch": 0.8333333333333334,
104
+ "grad_norm": 2.7124137926277583,
105
  "learning_rate": 1.9187540279759314e-06,
106
+ "loss": 0.5381,
107
  "step": 140
108
  },
109
  {
110
  "epoch": 0.8928571428571429,
111
+ "grad_norm": 2.6892276446954377,
112
  "learning_rate": 1.8920549296372686e-06,
113
+ "loss": 0.5341,
114
  "step": 150
115
  },
116
  {
117
  "epoch": 0.9523809523809523,
118
+ "grad_norm": 2.078964942505403,
119
  "learning_rate": 1.861898114721218e-06,
120
+ "loss": 0.5294,
121
  "step": 160
122
  },
123
  {
124
  "epoch": 1.0,
125
+ "eval_loss": 0.06584873795509338,
126
+ "eval_runtime": 116.4553,
127
+ "eval_samples_per_second": 155.45,
128
+ "eval_steps_per_second": 0.61,
129
  "step": 168
130
  },
131
  {
132
  "epoch": 1.0119047619047619,
133
+ "grad_norm": 1.8862054510010102,
134
  "learning_rate": 1.8284459894551025e-06,
135
+ "loss": 0.5242,
136
  "step": 170
137
  },
138
  {
139
  "epoch": 1.0714285714285714,
140
+ "grad_norm": 2.1399543444499467,
141
  "learning_rate": 1.7918787065996015e-06,
142
+ "loss": 0.506,
143
  "step": 180
144
  },
145
  {
146
  "epoch": 1.130952380952381,
147
+ "grad_norm": 1.9062388412547935,
148
  "learning_rate": 1.7523931952557666e-06,
149
+ "loss": 0.5037,
150
  "step": 190
151
  },
152
  {
153
  "epoch": 1.1904761904761905,
154
+ "grad_norm": 1.2708808678811239,
155
  "learning_rate": 1.7102021003248955e-06,
156
+ "loss": 0.5017,
157
  "step": 200
158
  },
159
  {
160
  "epoch": 1.25,
161
+ "grad_norm": 1.3542515524166345,
162
  "learning_rate": 1.6655326373326793e-06,
163
+ "loss": 0.5023,
164
  "step": 210
165
  },
166
  {
167
  "epoch": 1.3095238095238095,
168
+ "grad_norm": 2.1610871241580822,
169
  "learning_rate": 1.6186253687848507e-06,
170
+ "loss": 0.497,
171
  "step": 220
172
  },
173
  {
174
  "epoch": 1.369047619047619,
175
+ "grad_norm": 2.0822374960801397,
176
  "learning_rate": 1.569732908644127e-06,
177
+ "loss": 0.4962,
178
  "step": 230
179
  },
180
  {
181
  "epoch": 1.4285714285714286,
182
+ "grad_norm": 2.0776279888799416,
183
  "learning_rate": 1.5191185619053519e-06,
184
+ "loss": 0.4943,
185
  "step": 240
186
  },
187
  {
188
  "epoch": 1.4880952380952381,
189
+ "grad_norm": 1.991564712073659,
190
  "learning_rate": 1.4670549065952552e-06,
191
+ "loss": 0.4903,
192
  "step": 250
193
  },
194
  {
195
  "epoch": 1.5476190476190477,
196
+ "grad_norm": 2.037009128388502,
197
  "learning_rate": 1.4138223258333096e-06,
198
+ "loss": 0.4885,
199
  "step": 260
200
  },
201
  {
202
  "epoch": 1.6071428571428572,
203
+ "grad_norm": 1.820207258608856,
204
  "learning_rate": 1.3597074978591206e-06,
205
+ "loss": 0.4864,
206
  "step": 270
207
  },
208
  {
209
  "epoch": 1.6666666666666665,
210
+ "grad_norm": 2.1241388881877183,
211
  "learning_rate": 1.3050018521581279e-06,
212
+ "loss": 0.4871,
213
  "step": 280
214
  },
215
  {
216
  "epoch": 1.7261904761904763,
217
+ "grad_norm": 1.78922859395332,
218
  "learning_rate": 1.2499999999999999e-06,
219
+ "loss": 0.4864,
220
  "step": 290
221
  },
222
  {
223
  "epoch": 1.7857142857142856,
224
+ "grad_norm": 1.7328904839729484,
225
  "learning_rate": 1.1949981478418721e-06,
226
+ "loss": 0.4813,
227
  "step": 300
228
  },
229
  {
230
  "epoch": 1.8452380952380953,
231
+ "grad_norm": 1.935272666911019,
232
  "learning_rate": 1.1402925021408796e-06,
233
+ "loss": 0.4801,
234
  "step": 310
235
  },
236
  {
237
  "epoch": 1.9047619047619047,
238
+ "grad_norm": 1.2142950270281057,
239
  "learning_rate": 1.0861776741666901e-06,
240
+ "loss": 0.4795,
241
  "step": 320
242
  },
243
  {
244
  "epoch": 1.9642857142857144,
245
+ "grad_norm": 1.3120184387970604,
246
  "learning_rate": 1.032945093404745e-06,
247
+ "loss": 0.4791,
248
  "step": 330
249
  },
250
  {
251
  "epoch": 2.0,
252
+ "eval_loss": 0.061718959361314774,
253
+ "eval_runtime": 116.2674,
254
+ "eval_samples_per_second": 155.701,
255
  "eval_steps_per_second": 0.611,
256
  "step": 336
257
  },
258
  {
259
  "epoch": 2.0238095238095237,
260
+ "grad_norm": 1.4955203361832747,
261
  "learning_rate": 9.80881438094648e-07,
262
+ "loss": 0.4693,
263
  "step": 340
264
  },
265
  {
266
  "epoch": 2.0833333333333335,
267
+ "grad_norm": 1.1141424267445637,
268
  "learning_rate": 9.302670913558731e-07,
269
+ "loss": 0.4599,
270
  "step": 350
271
  },
272
  {
273
  "epoch": 2.142857142857143,
274
+ "grad_norm": 0.8809215575567357,
275
  "learning_rate": 8.813746312151494e-07,
276
+ "loss": 0.4552,
277
  "step": 360
278
  },
279
  {
280
  "epoch": 2.2023809523809526,
281
+ "grad_norm": 0.819257933682719,
282
  "learning_rate": 8.344673626673205e-07,
283
+ "loss": 0.4546,
284
  "step": 370
285
  },
286
  {
287
  "epoch": 2.261904761904762,
288
+ "grad_norm": 0.9199338927704399,
289
  "learning_rate": 7.897978996751046e-07,
290
+ "loss": 0.4574,
291
  "step": 380
292
  },
293
  {
294
  "epoch": 2.3214285714285716,
295
+ "grad_norm": 0.9400263078511765,
296
  "learning_rate": 7.476068047442332e-07,
297
+ "loss": 0.4527,
298
  "step": 390
299
  },
300
  {
301
  "epoch": 2.380952380952381,
302
+ "grad_norm": 0.8120316882785873,
303
  "learning_rate": 7.081212934003984e-07,
304
+ "loss": 0.4517,
305
  "step": 400
306
  },
307
  {
308
  "epoch": 2.4404761904761907,
309
+ "grad_norm": 0.926431884810278,
310
  "learning_rate": 6.715540105448972e-07,
311
+ "loss": 0.4507,
312
  "step": 410
313
  },
314
  {
315
  "epoch": 2.5,
316
+ "grad_norm": 0.8615015270894472,
317
  "learning_rate": 6.381018852787821e-07,
318
+ "loss": 0.4505,
319
  "step": 420
320
  },
321
  {
322
  "epoch": 2.5595238095238093,
323
+ "grad_norm": 0.794846867305112,
324
  "learning_rate": 6.079450703627314e-07,
325
+ "loss": 0.4519,
326
  "step": 430
327
  },
328
  {
329
  "epoch": 2.619047619047619,
330
+ "grad_norm": 0.8659294487925853,
331
  "learning_rate": 5.812459720240681e-07,
332
+ "loss": 0.4523,
333
  "step": 440
334
  },
335
  {
336
  "epoch": 2.678571428571429,
337
+ "grad_norm": 0.8078214310845254,
338
  "learning_rate": 5.581483753357905e-07,
339
+ "loss": 0.4498,
340
  "step": 450
341
  },
342
  {
343
  "epoch": 2.738095238095238,
344
+ "grad_norm": 0.9616399301296082,
345
  "learning_rate": 5.387766698777935e-07,
346
+ "loss": 0.451,
347
  "step": 460
348
  },
349
  {
350
  "epoch": 2.7976190476190474,
351
+ "grad_norm": 0.8093607714101151,
352
  "learning_rate": 5.232351798503945e-07,
353
+ "loss": 0.4495,
354
  "step": 470
355
  },
356
  {
357
  "epoch": 2.857142857142857,
358
+ "grad_norm": 0.8508798798797214,
359
  "learning_rate": 5.116076022477671e-07,
360
+ "loss": 0.4487,
361
  "step": 480
362
  },
363
  {
364
  "epoch": 2.9166666666666665,
365
+ "grad_norm": 0.738511448943807,
366
  "learning_rate": 5.039565561169362e-07,
367
+ "loss": 0.4454,
368
  "step": 490
369
  },
370
  {
371
  "epoch": 2.9761904761904763,
372
+ "grad_norm": 0.7290876762277495,
373
  "learning_rate": 5.003232453297512e-07,
374
+ "loss": 0.4473,
375
  "step": 500
376
  },
377
  {
378
  "epoch": 3.0,
379
+ "eval_loss": 0.06018054857850075,
380
+ "eval_runtime": 118.2486,
381
+ "eval_samples_per_second": 153.093,
382
+ "eval_steps_per_second": 0.6,
383
  "step": 504
384
  },
385
  {
386
  "epoch": 3.0,
387
  "step": 504,
388
  "total_flos": 3376037568184320.0,
389
+ "train_loss": 0.518157976960379,
390
+ "train_runtime": 17131.2553,
391
+ "train_samples_per_second": 60.233,
392
  "train_steps_per_second": 0.029
393
  }
394
  ],
training_eval_loss.png CHANGED
training_loss.png CHANGED