selmamalak commited on
Commit
fed6c36
·
verified ·
1 Parent(s): 22e48a1

End of training

Browse files
Files changed (5) hide show
  1. README.md +5 -5
  2. all_results.json +16 -0
  3. eval_results.json +11 -0
  4. train_results.json +8 -0
  5. trainer_state.json +673 -0
README.md CHANGED
@@ -23,11 +23,11 @@ should probably proofread and complete it, then remove this comment. -->
23
 
24
  This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the medmnist-v2 dataset.
25
  It achieves the following results on the evaluation set:
26
- - Loss: 0.3024
27
- - Accuracy: 0.8740
28
- - Precision: 0.8314
29
- - Recall: 0.8958
30
- - F1: 0.8515
31
 
32
  ## Model description
33
 
 
23
 
24
  This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the medmnist-v2 dataset.
25
  It achieves the following results on the evaluation set:
26
+ - Loss: 0.3440
27
+ - Accuracy: 0.8622
28
+ - Precision: 0.8623
29
+ - Recall: 0.8402
30
+ - F1: 0.8487
31
 
32
  ## Model description
33
 
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.898305084745763,
3
+ "eval_accuracy": 0.8621794871794872,
4
+ "eval_f1": 0.8487400642651783,
5
+ "eval_loss": 0.3440195620059967,
6
+ "eval_precision": 0.8623249299719888,
7
+ "eval_recall": 0.8401709401709402,
8
+ "eval_runtime": 2.8052,
9
+ "eval_samples_per_second": 222.444,
10
+ "eval_steps_per_second": 13.903,
11
+ "total_flos": 3.6369520534486057e+18,
12
+ "train_loss": 0.4224395229391856,
13
+ "train_runtime": 449.3032,
14
+ "train_samples_per_second": 104.784,
15
+ "train_steps_per_second": 1.625
16
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.898305084745763,
3
+ "eval_accuracy": 0.8621794871794872,
4
+ "eval_f1": 0.8487400642651783,
5
+ "eval_loss": 0.3440195620059967,
6
+ "eval_precision": 0.8623249299719888,
7
+ "eval_recall": 0.8401709401709402,
8
+ "eval_runtime": 2.8052,
9
+ "eval_samples_per_second": 222.444,
10
+ "eval_steps_per_second": 13.903
11
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.898305084745763,
3
+ "total_flos": 3.6369520534486057e+18,
4
+ "train_loss": 0.4224395229391856,
5
+ "train_runtime": 449.3032,
6
+ "train_samples_per_second": 104.784,
7
+ "train_steps_per_second": 1.625
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,673 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9026717557251909,
3
+ "best_model_checkpoint": "deit-base-patch16-224-finetuned-lora-medmnistv2/checkpoint-516",
4
+ "epoch": 9.898305084745763,
5
+ "eval_steps": 500,
6
+ "global_step": 730,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.13559322033898305,
13
+ "grad_norm": 0.6092599034309387,
14
+ "learning_rate": 0.004931506849315068,
15
+ "loss": 0.6182,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.2711864406779661,
20
+ "grad_norm": 9.652957916259766,
21
+ "learning_rate": 0.0048630136986301375,
22
+ "loss": 0.6302,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.4067796610169492,
27
+ "grad_norm": 1.760549783706665,
28
+ "learning_rate": 0.004794520547945206,
29
+ "loss": 0.645,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.5423728813559322,
34
+ "grad_norm": 0.8188679814338684,
35
+ "learning_rate": 0.004726027397260274,
36
+ "loss": 0.4782,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.6779661016949152,
41
+ "grad_norm": 3.1816465854644775,
42
+ "learning_rate": 0.004657534246575342,
43
+ "loss": 0.7114,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.8135593220338984,
48
+ "grad_norm": 3.094874858856201,
49
+ "learning_rate": 0.004589041095890411,
50
+ "loss": 0.5755,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.9491525423728814,
55
+ "grad_norm": 1.603766918182373,
56
+ "learning_rate": 0.00452054794520548,
57
+ "loss": 0.6158,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.9898305084745763,
62
+ "eval_accuracy": 0.7423664122137404,
63
+ "eval_f1": 0.42606790799561883,
64
+ "eval_loss": 0.567380964756012,
65
+ "eval_precision": 0.3711832061068702,
66
+ "eval_recall": 0.5,
67
+ "eval_runtime": 2.2609,
68
+ "eval_samples_per_second": 231.762,
69
+ "eval_steps_per_second": 14.596,
70
+ "step": 73
71
+ },
72
+ {
73
+ "epoch": 1.0847457627118644,
74
+ "grad_norm": 3.2192718982696533,
75
+ "learning_rate": 0.004452054794520548,
76
+ "loss": 0.5565,
77
+ "step": 80
78
+ },
79
+ {
80
+ "epoch": 1.2203389830508475,
81
+ "grad_norm": 1.6243762969970703,
82
+ "learning_rate": 0.004383561643835616,
83
+ "loss": 0.5592,
84
+ "step": 90
85
+ },
86
+ {
87
+ "epoch": 1.3559322033898304,
88
+ "grad_norm": 2.504822015762329,
89
+ "learning_rate": 0.004315068493150685,
90
+ "loss": 0.62,
91
+ "step": 100
92
+ },
93
+ {
94
+ "epoch": 1.4915254237288136,
95
+ "grad_norm": 1.8308496475219727,
96
+ "learning_rate": 0.0042465753424657535,
97
+ "loss": 0.5712,
98
+ "step": 110
99
+ },
100
+ {
101
+ "epoch": 1.6271186440677967,
102
+ "grad_norm": 0.7807316184043884,
103
+ "learning_rate": 0.004178082191780822,
104
+ "loss": 0.531,
105
+ "step": 120
106
+ },
107
+ {
108
+ "epoch": 1.7627118644067796,
109
+ "grad_norm": 2.2005345821380615,
110
+ "learning_rate": 0.00410958904109589,
111
+ "loss": 0.5394,
112
+ "step": 130
113
+ },
114
+ {
115
+ "epoch": 1.8983050847457628,
116
+ "grad_norm": 1.179870843887329,
117
+ "learning_rate": 0.004041095890410959,
118
+ "loss": 0.5322,
119
+ "step": 140
120
+ },
121
+ {
122
+ "epoch": 1.993220338983051,
123
+ "eval_accuracy": 0.7729007633587787,
124
+ "eval_f1": 0.5396280463945307,
125
+ "eval_loss": 0.48395079374313354,
126
+ "eval_precision": 0.8828740157480315,
127
+ "eval_recall": 0.5592592592592592,
128
+ "eval_runtime": 2.4443,
129
+ "eval_samples_per_second": 214.373,
130
+ "eval_steps_per_second": 13.501,
131
+ "step": 147
132
+ },
133
+ {
134
+ "epoch": 2.0338983050847457,
135
+ "grad_norm": 0.4185134768486023,
136
+ "learning_rate": 0.003972602739726027,
137
+ "loss": 0.5459,
138
+ "step": 150
139
+ },
140
+ {
141
+ "epoch": 2.169491525423729,
142
+ "grad_norm": 3.1739585399627686,
143
+ "learning_rate": 0.003904109589041096,
144
+ "loss": 0.5155,
145
+ "step": 160
146
+ },
147
+ {
148
+ "epoch": 2.305084745762712,
149
+ "grad_norm": 1.602779507637024,
150
+ "learning_rate": 0.0038356164383561643,
151
+ "loss": 0.5648,
152
+ "step": 170
153
+ },
154
+ {
155
+ "epoch": 2.440677966101695,
156
+ "grad_norm": 0.7795351147651672,
157
+ "learning_rate": 0.003767123287671233,
158
+ "loss": 0.4647,
159
+ "step": 180
160
+ },
161
+ {
162
+ "epoch": 2.576271186440678,
163
+ "grad_norm": 0.20109909772872925,
164
+ "learning_rate": 0.0036986301369863013,
165
+ "loss": 0.4323,
166
+ "step": 190
167
+ },
168
+ {
169
+ "epoch": 2.711864406779661,
170
+ "grad_norm": 3.717724561691284,
171
+ "learning_rate": 0.00363013698630137,
172
+ "loss": 0.5199,
173
+ "step": 200
174
+ },
175
+ {
176
+ "epoch": 2.847457627118644,
177
+ "grad_norm": 1.0907886028289795,
178
+ "learning_rate": 0.003561643835616438,
179
+ "loss": 0.4441,
180
+ "step": 210
181
+ },
182
+ {
183
+ "epoch": 2.983050847457627,
184
+ "grad_norm": 1.0848020315170288,
185
+ "learning_rate": 0.003493150684931507,
186
+ "loss": 0.4139,
187
+ "step": 220
188
+ },
189
+ {
190
+ "epoch": 2.9966101694915253,
191
+ "eval_accuracy": 0.7938931297709924,
192
+ "eval_f1": 0.6057185854025584,
193
+ "eval_loss": 0.3726596534252167,
194
+ "eval_precision": 0.8913480885311871,
195
+ "eval_recall": 0.6,
196
+ "eval_runtime": 2.2564,
197
+ "eval_samples_per_second": 232.227,
198
+ "eval_steps_per_second": 14.625,
199
+ "step": 221
200
+ },
201
+ {
202
+ "epoch": 3.1186440677966103,
203
+ "grad_norm": 0.5923116207122803,
204
+ "learning_rate": 0.003424657534246575,
205
+ "loss": 0.4562,
206
+ "step": 230
207
+ },
208
+ {
209
+ "epoch": 3.2542372881355934,
210
+ "grad_norm": 0.6732156872749329,
211
+ "learning_rate": 0.003356164383561644,
212
+ "loss": 0.4198,
213
+ "step": 240
214
+ },
215
+ {
216
+ "epoch": 3.389830508474576,
217
+ "grad_norm": 0.44104114174842834,
218
+ "learning_rate": 0.003287671232876712,
219
+ "loss": 0.4247,
220
+ "step": 250
221
+ },
222
+ {
223
+ "epoch": 3.5254237288135593,
224
+ "grad_norm": 1.1133421659469604,
225
+ "learning_rate": 0.0032191780821917808,
226
+ "loss": 0.4094,
227
+ "step": 260
228
+ },
229
+ {
230
+ "epoch": 3.6610169491525424,
231
+ "grad_norm": 0.5410763621330261,
232
+ "learning_rate": 0.003150684931506849,
233
+ "loss": 0.4489,
234
+ "step": 270
235
+ },
236
+ {
237
+ "epoch": 3.7966101694915255,
238
+ "grad_norm": 1.290757656097412,
239
+ "learning_rate": 0.003082191780821918,
240
+ "loss": 0.4028,
241
+ "step": 280
242
+ },
243
+ {
244
+ "epoch": 3.9322033898305087,
245
+ "grad_norm": 1.2204492092132568,
246
+ "learning_rate": 0.0030136986301369864,
247
+ "loss": 0.3979,
248
+ "step": 290
249
+ },
250
+ {
251
+ "epoch": 4.0,
252
+ "eval_accuracy": 0.7309160305343512,
253
+ "eval_f1": 0.7167969274053518,
254
+ "eval_loss": 0.5270416736602783,
255
+ "eval_precision": 0.7405170401493931,
256
+ "eval_recall": 0.8139293535180425,
257
+ "eval_runtime": 2.2872,
258
+ "eval_samples_per_second": 229.106,
259
+ "eval_steps_per_second": 14.428,
260
+ "step": 295
261
+ },
262
+ {
263
+ "epoch": 4.067796610169491,
264
+ "grad_norm": 0.5202679634094238,
265
+ "learning_rate": 0.002945205479452055,
266
+ "loss": 0.3858,
267
+ "step": 300
268
+ },
269
+ {
270
+ "epoch": 4.203389830508475,
271
+ "grad_norm": 0.20694881677627563,
272
+ "learning_rate": 0.0028767123287671234,
273
+ "loss": 0.426,
274
+ "step": 310
275
+ },
276
+ {
277
+ "epoch": 4.338983050847458,
278
+ "grad_norm": 0.9228326678276062,
279
+ "learning_rate": 0.002808219178082192,
280
+ "loss": 0.3419,
281
+ "step": 320
282
+ },
283
+ {
284
+ "epoch": 4.47457627118644,
285
+ "grad_norm": 0.5701133608818054,
286
+ "learning_rate": 0.0027397260273972603,
287
+ "loss": 0.4407,
288
+ "step": 330
289
+ },
290
+ {
291
+ "epoch": 4.610169491525424,
292
+ "grad_norm": 0.5276753306388855,
293
+ "learning_rate": 0.002671232876712329,
294
+ "loss": 0.3626,
295
+ "step": 340
296
+ },
297
+ {
298
+ "epoch": 4.745762711864407,
299
+ "grad_norm": 0.3167065680027008,
300
+ "learning_rate": 0.0026027397260273972,
301
+ "loss": 0.4012,
302
+ "step": 350
303
+ },
304
+ {
305
+ "epoch": 4.88135593220339,
306
+ "grad_norm": 0.9251042008399963,
307
+ "learning_rate": 0.002534246575342466,
308
+ "loss": 0.3858,
309
+ "step": 360
310
+ },
311
+ {
312
+ "epoch": 4.989830508474577,
313
+ "eval_accuracy": 0.8530534351145038,
314
+ "eval_f1": 0.825253903289374,
315
+ "eval_loss": 0.30624744296073914,
316
+ "eval_precision": 0.8072997416020672,
317
+ "eval_recall": 0.8623345710749311,
318
+ "eval_runtime": 2.5426,
319
+ "eval_samples_per_second": 206.091,
320
+ "eval_steps_per_second": 12.979,
321
+ "step": 368
322
+ },
323
+ {
324
+ "epoch": 5.016949152542373,
325
+ "grad_norm": 0.33929237723350525,
326
+ "learning_rate": 0.002465753424657534,
327
+ "loss": 0.362,
328
+ "step": 370
329
+ },
330
+ {
331
+ "epoch": 5.1525423728813555,
332
+ "grad_norm": 1.5055538415908813,
333
+ "learning_rate": 0.002397260273972603,
334
+ "loss": 0.4396,
335
+ "step": 380
336
+ },
337
+ {
338
+ "epoch": 5.288135593220339,
339
+ "grad_norm": 0.318695992231369,
340
+ "learning_rate": 0.002328767123287671,
341
+ "loss": 0.3909,
342
+ "step": 390
343
+ },
344
+ {
345
+ "epoch": 5.423728813559322,
346
+ "grad_norm": 1.0506914854049683,
347
+ "learning_rate": 0.00226027397260274,
348
+ "loss": 0.3563,
349
+ "step": 400
350
+ },
351
+ {
352
+ "epoch": 5.559322033898305,
353
+ "grad_norm": 1.1333622932434082,
354
+ "learning_rate": 0.002191780821917808,
355
+ "loss": 0.3737,
356
+ "step": 410
357
+ },
358
+ {
359
+ "epoch": 5.694915254237288,
360
+ "grad_norm": 0.3602863550186157,
361
+ "learning_rate": 0.0021232876712328768,
362
+ "loss": 0.4139,
363
+ "step": 420
364
+ },
365
+ {
366
+ "epoch": 5.830508474576272,
367
+ "grad_norm": 0.9611266851425171,
368
+ "learning_rate": 0.002054794520547945,
369
+ "loss": 0.3851,
370
+ "step": 430
371
+ },
372
+ {
373
+ "epoch": 5.966101694915254,
374
+ "grad_norm": 0.3874049186706543,
375
+ "learning_rate": 0.0019863013698630137,
376
+ "loss": 0.3704,
377
+ "step": 440
378
+ },
379
+ {
380
+ "epoch": 5.9932203389830505,
381
+ "eval_accuracy": 0.8263358778625954,
382
+ "eval_f1": 0.8056371899647421,
383
+ "eval_loss": 0.37736260890960693,
384
+ "eval_precision": 0.793922767883912,
385
+ "eval_recall": 0.8733599923831286,
386
+ "eval_runtime": 2.2589,
387
+ "eval_samples_per_second": 231.974,
388
+ "eval_steps_per_second": 14.609,
389
+ "step": 442
390
+ },
391
+ {
392
+ "epoch": 6.101694915254237,
393
+ "grad_norm": 0.6873330473899841,
394
+ "learning_rate": 0.0019178082191780822,
395
+ "loss": 0.3314,
396
+ "step": 450
397
+ },
398
+ {
399
+ "epoch": 6.237288135593221,
400
+ "grad_norm": 0.4017014801502228,
401
+ "learning_rate": 0.0018493150684931506,
402
+ "loss": 0.3821,
403
+ "step": 460
404
+ },
405
+ {
406
+ "epoch": 6.372881355932203,
407
+ "grad_norm": 0.4146214723587036,
408
+ "learning_rate": 0.001780821917808219,
409
+ "loss": 0.336,
410
+ "step": 470
411
+ },
412
+ {
413
+ "epoch": 6.508474576271187,
414
+ "grad_norm": 0.4829295873641968,
415
+ "learning_rate": 0.0017123287671232876,
416
+ "loss": 0.333,
417
+ "step": 480
418
+ },
419
+ {
420
+ "epoch": 6.6440677966101696,
421
+ "grad_norm": 0.31482774019241333,
422
+ "learning_rate": 0.001643835616438356,
423
+ "loss": 0.4051,
424
+ "step": 490
425
+ },
426
+ {
427
+ "epoch": 6.779661016949152,
428
+ "grad_norm": 1.6030710935592651,
429
+ "learning_rate": 0.0015753424657534245,
430
+ "loss": 0.4016,
431
+ "step": 500
432
+ },
433
+ {
434
+ "epoch": 6.915254237288136,
435
+ "grad_norm": 0.41512808203697205,
436
+ "learning_rate": 0.0015068493150684932,
437
+ "loss": 0.3345,
438
+ "step": 510
439
+ },
440
+ {
441
+ "epoch": 6.996610169491525,
442
+ "eval_accuracy": 0.9026717557251909,
443
+ "eval_f1": 0.8748683083060584,
444
+ "eval_loss": 0.2403312772512436,
445
+ "eval_precision": 0.8690915124253373,
446
+ "eval_recall": 0.8812434542511663,
447
+ "eval_runtime": 2.2592,
448
+ "eval_samples_per_second": 231.938,
449
+ "eval_steps_per_second": 14.607,
450
+ "step": 516
451
+ },
452
+ {
453
+ "epoch": 7.0508474576271185,
454
+ "grad_norm": 0.654947817325592,
455
+ "learning_rate": 0.0014383561643835617,
456
+ "loss": 0.3406,
457
+ "step": 520
458
+ },
459
+ {
460
+ "epoch": 7.186440677966102,
461
+ "grad_norm": 0.7446631193161011,
462
+ "learning_rate": 0.0013698630136986301,
463
+ "loss": 0.3591,
464
+ "step": 530
465
+ },
466
+ {
467
+ "epoch": 7.322033898305085,
468
+ "grad_norm": 1.3772833347320557,
469
+ "learning_rate": 0.0013013698630136986,
470
+ "loss": 0.3704,
471
+ "step": 540
472
+ },
473
+ {
474
+ "epoch": 7.4576271186440675,
475
+ "grad_norm": 0.2521153688430786,
476
+ "learning_rate": 0.001232876712328767,
477
+ "loss": 0.3506,
478
+ "step": 550
479
+ },
480
+ {
481
+ "epoch": 7.593220338983051,
482
+ "grad_norm": 0.48469170928001404,
483
+ "learning_rate": 0.0011643835616438356,
484
+ "loss": 0.336,
485
+ "step": 560
486
+ },
487
+ {
488
+ "epoch": 7.728813559322034,
489
+ "grad_norm": 0.30622732639312744,
490
+ "learning_rate": 0.001095890410958904,
491
+ "loss": 0.3283,
492
+ "step": 570
493
+ },
494
+ {
495
+ "epoch": 7.864406779661017,
496
+ "grad_norm": 0.34153249859809875,
497
+ "learning_rate": 0.0010273972602739725,
498
+ "loss": 0.3413,
499
+ "step": 580
500
+ },
501
+ {
502
+ "epoch": 8.0,
503
+ "grad_norm": 0.6064002513885498,
504
+ "learning_rate": 0.0009589041095890411,
505
+ "loss": 0.3875,
506
+ "step": 590
507
+ },
508
+ {
509
+ "epoch": 8.0,
510
+ "eval_accuracy": 0.8816793893129771,
511
+ "eval_f1": 0.8590395529252504,
512
+ "eval_loss": 0.3021100163459778,
513
+ "eval_precision": 0.8389118290017004,
514
+ "eval_recall": 0.8985432733504712,
515
+ "eval_runtime": 2.6546,
516
+ "eval_samples_per_second": 197.396,
517
+ "eval_steps_per_second": 12.431,
518
+ "step": 590
519
+ },
520
+ {
521
+ "epoch": 8.135593220338983,
522
+ "grad_norm": 0.49543967843055725,
523
+ "learning_rate": 0.0008904109589041096,
524
+ "loss": 0.3826,
525
+ "step": 600
526
+ },
527
+ {
528
+ "epoch": 8.271186440677965,
529
+ "grad_norm": 0.29732996225357056,
530
+ "learning_rate": 0.000821917808219178,
531
+ "loss": 0.358,
532
+ "step": 610
533
+ },
534
+ {
535
+ "epoch": 8.40677966101695,
536
+ "grad_norm": 0.3708488345146179,
537
+ "learning_rate": 0.0007534246575342466,
538
+ "loss": 0.3239,
539
+ "step": 620
540
+ },
541
+ {
542
+ "epoch": 8.542372881355933,
543
+ "grad_norm": 0.37521126866340637,
544
+ "learning_rate": 0.0006849315068493151,
545
+ "loss": 0.3074,
546
+ "step": 630
547
+ },
548
+ {
549
+ "epoch": 8.677966101694915,
550
+ "grad_norm": 0.8718960285186768,
551
+ "learning_rate": 0.0006164383561643835,
552
+ "loss": 0.3114,
553
+ "step": 640
554
+ },
555
+ {
556
+ "epoch": 8.813559322033898,
557
+ "grad_norm": 0.8521252274513245,
558
+ "learning_rate": 0.000547945205479452,
559
+ "loss": 0.3076,
560
+ "step": 650
561
+ },
562
+ {
563
+ "epoch": 8.94915254237288,
564
+ "grad_norm": 0.501818060874939,
565
+ "learning_rate": 0.00047945205479452054,
566
+ "loss": 0.3673,
567
+ "step": 660
568
+ },
569
+ {
570
+ "epoch": 8.989830508474576,
571
+ "eval_accuracy": 0.8969465648854962,
572
+ "eval_f1": 0.8748938879456707,
573
+ "eval_loss": 0.28653448820114136,
574
+ "eval_precision": 0.8557379781648471,
575
+ "eval_recall": 0.9064076930400837,
576
+ "eval_runtime": 2.2474,
577
+ "eval_samples_per_second": 233.156,
578
+ "eval_steps_per_second": 14.683,
579
+ "step": 663
580
+ },
581
+ {
582
+ "epoch": 9.084745762711865,
583
+ "grad_norm": 0.47983425855636597,
584
+ "learning_rate": 0.000410958904109589,
585
+ "loss": 0.3276,
586
+ "step": 670
587
+ },
588
+ {
589
+ "epoch": 9.220338983050848,
590
+ "grad_norm": 0.24815304577350616,
591
+ "learning_rate": 0.00034246575342465754,
592
+ "loss": 0.2874,
593
+ "step": 680
594
+ },
595
+ {
596
+ "epoch": 9.35593220338983,
597
+ "grad_norm": 0.5116902589797974,
598
+ "learning_rate": 0.000273972602739726,
599
+ "loss": 0.3645,
600
+ "step": 690
601
+ },
602
+ {
603
+ "epoch": 9.491525423728813,
604
+ "grad_norm": 0.34429872035980225,
605
+ "learning_rate": 0.0002054794520547945,
606
+ "loss": 0.3231,
607
+ "step": 700
608
+ },
609
+ {
610
+ "epoch": 9.627118644067796,
611
+ "grad_norm": 0.31422099471092224,
612
+ "learning_rate": 0.000136986301369863,
613
+ "loss": 0.2665,
614
+ "step": 710
615
+ },
616
+ {
617
+ "epoch": 9.76271186440678,
618
+ "grad_norm": 0.44704005122184753,
619
+ "learning_rate": 6.84931506849315e-05,
620
+ "loss": 0.3432,
621
+ "step": 720
622
+ },
623
+ {
624
+ "epoch": 9.898305084745763,
625
+ "grad_norm": 0.49681413173675537,
626
+ "learning_rate": 0.0,
627
+ "loss": 0.3493,
628
+ "step": 730
629
+ },
630
+ {
631
+ "epoch": 9.898305084745763,
632
+ "eval_accuracy": 0.8740458015267175,
633
+ "eval_f1": 0.8515453296703297,
634
+ "eval_loss": 0.3024097681045532,
635
+ "eval_precision": 0.8314438332137447,
636
+ "eval_recall": 0.895820241835666,
637
+ "eval_runtime": 2.2783,
638
+ "eval_samples_per_second": 229.992,
639
+ "eval_steps_per_second": 14.484,
640
+ "step": 730
641
+ },
642
+ {
643
+ "epoch": 9.898305084745763,
644
+ "step": 730,
645
+ "total_flos": 3.6369520534486057e+18,
646
+ "train_loss": 0.4224395229391856,
647
+ "train_runtime": 449.3032,
648
+ "train_samples_per_second": 104.784,
649
+ "train_steps_per_second": 1.625
650
+ }
651
+ ],
652
+ "logging_steps": 10,
653
+ "max_steps": 730,
654
+ "num_input_tokens_seen": 0,
655
+ "num_train_epochs": 10,
656
+ "save_steps": 500,
657
+ "stateful_callbacks": {
658
+ "TrainerControl": {
659
+ "args": {
660
+ "should_epoch_stop": false,
661
+ "should_evaluate": false,
662
+ "should_log": false,
663
+ "should_save": true,
664
+ "should_training_stop": true
665
+ },
666
+ "attributes": {}
667
+ }
668
+ },
669
+ "total_flos": 3.6369520534486057e+18,
670
+ "train_batch_size": 16,
671
+ "trial_name": null,
672
+ "trial_params": null
673
+ }