selmamalak commited on
Commit
88e1228
·
verified ·
1 Parent(s): aa94148

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 +913 -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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the medmnist-v2 dataset.
25
  It achieves the following results on the evaluation set:
26
- - Loss: 0.6179
27
- - Accuracy: 0.7677
28
- - Precision: 0.5889
29
- - Recall: 0.4796
30
- - F1: 0.5088
31
 
32
  ## Model description
33
 
 
23
 
24
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the medmnist-v2 dataset.
25
  It achieves the following results on the evaluation set:
26
+ - Loss: 0.6135
27
+ - Accuracy: 0.7681
28
+ - Precision: 0.6821
29
+ - Recall: 0.5061
30
+ - F1: 0.5497
31
 
32
  ## Model description
33
 
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.95,
3
+ "eval_accuracy": 0.7680798004987531,
4
+ "eval_f1": 0.5497441003867443,
5
+ "eval_loss": 0.6134716868400574,
6
+ "eval_precision": 0.6820690374636337,
7
+ "eval_recall": 0.5060769324556328,
8
+ "eval_runtime": 10.818,
9
+ "eval_samples_per_second": 185.339,
10
+ "eval_steps_per_second": 11.647,
11
+ "total_flos": 5.442882169274339e+18,
12
+ "train_loss": 0.7558124568484245,
13
+ "train_runtime": 825.7866,
14
+ "train_samples_per_second": 84.852,
15
+ "train_steps_per_second": 1.32
16
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.95,
3
+ "eval_accuracy": 0.7680798004987531,
4
+ "eval_f1": 0.5497441003867443,
5
+ "eval_loss": 0.6134716868400574,
6
+ "eval_precision": 0.6820690374636337,
7
+ "eval_recall": 0.5060769324556328,
8
+ "eval_runtime": 10.818,
9
+ "eval_samples_per_second": 185.339,
10
+ "eval_steps_per_second": 11.647
11
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.95,
3
+ "total_flos": 5.442882169274339e+18,
4
+ "train_loss": 0.7558124568484245,
5
+ "train_runtime": 825.7866,
6
+ "train_samples_per_second": 84.852,
7
+ "train_steps_per_second": 1.32
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,913 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7676969092721835,
3
+ "best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-lora-medmnistv2/checkpoint-1090",
4
+ "epoch": 9.954337899543379,
5
+ "eval_steps": 500,
6
+ "global_step": 1090,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.09,
13
+ "grad_norm": 1.0251981019973755,
14
+ "learning_rate": 0.004954128440366973,
15
+ "loss": 1.2326,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.18,
20
+ "grad_norm": 0.6157691478729248,
21
+ "learning_rate": 0.004908256880733945,
22
+ "loss": 0.9567,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.27,
27
+ "grad_norm": 1.101731538772583,
28
+ "learning_rate": 0.004862385321100918,
29
+ "loss": 0.905,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.37,
34
+ "grad_norm": 0.8456130623817444,
35
+ "learning_rate": 0.00481651376146789,
36
+ "loss": 0.9132,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.46,
41
+ "grad_norm": 0.6145790219306946,
42
+ "learning_rate": 0.0047706422018348625,
43
+ "loss": 0.8798,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.55,
48
+ "grad_norm": 1.1609084606170654,
49
+ "learning_rate": 0.004724770642201835,
50
+ "loss": 0.7849,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.64,
55
+ "grad_norm": 0.7732934355735779,
56
+ "learning_rate": 0.004678899082568808,
57
+ "loss": 0.7901,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.73,
62
+ "grad_norm": 0.7393956780433655,
63
+ "learning_rate": 0.00463302752293578,
64
+ "loss": 0.7932,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.82,
69
+ "grad_norm": 0.667579174041748,
70
+ "learning_rate": 0.0045871559633027525,
71
+ "loss": 0.7811,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.91,
76
+ "grad_norm": 0.8475561141967773,
77
+ "learning_rate": 0.004541284403669725,
78
+ "loss": 0.7579,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 1.0,
83
+ "eval_accuracy": 0.7427716849451645,
84
+ "eval_f1": 0.3926656517433595,
85
+ "eval_loss": 0.7045032978057861,
86
+ "eval_precision": 0.5204175676877641,
87
+ "eval_recall": 0.3710290953850673,
88
+ "eval_runtime": 5.2715,
89
+ "eval_samples_per_second": 190.268,
90
+ "eval_steps_per_second": 11.951,
91
+ "step": 109
92
+ },
93
+ {
94
+ "epoch": 1.0,
95
+ "grad_norm": 0.7959792613983154,
96
+ "learning_rate": 0.004495412844036698,
97
+ "loss": 0.8206,
98
+ "step": 110
99
+ },
100
+ {
101
+ "epoch": 1.1,
102
+ "grad_norm": 0.823697566986084,
103
+ "learning_rate": 0.0044495412844036695,
104
+ "loss": 0.7631,
105
+ "step": 120
106
+ },
107
+ {
108
+ "epoch": 1.19,
109
+ "grad_norm": 0.7514823079109192,
110
+ "learning_rate": 0.004403669724770643,
111
+ "loss": 0.7404,
112
+ "step": 130
113
+ },
114
+ {
115
+ "epoch": 1.28,
116
+ "grad_norm": 1.4910705089569092,
117
+ "learning_rate": 0.004357798165137615,
118
+ "loss": 0.7533,
119
+ "step": 140
120
+ },
121
+ {
122
+ "epoch": 1.37,
123
+ "grad_norm": 1.1586723327636719,
124
+ "learning_rate": 0.004311926605504587,
125
+ "loss": 0.7781,
126
+ "step": 150
127
+ },
128
+ {
129
+ "epoch": 1.46,
130
+ "grad_norm": 1.106838583946228,
131
+ "learning_rate": 0.0042660550458715595,
132
+ "loss": 0.7337,
133
+ "step": 160
134
+ },
135
+ {
136
+ "epoch": 1.55,
137
+ "grad_norm": 1.4145853519439697,
138
+ "learning_rate": 0.004220183486238533,
139
+ "loss": 0.7871,
140
+ "step": 170
141
+ },
142
+ {
143
+ "epoch": 1.64,
144
+ "grad_norm": 1.0210392475128174,
145
+ "learning_rate": 0.004174311926605505,
146
+ "loss": 0.827,
147
+ "step": 180
148
+ },
149
+ {
150
+ "epoch": 1.74,
151
+ "grad_norm": 1.4612568616867065,
152
+ "learning_rate": 0.004128440366972477,
153
+ "loss": 0.8952,
154
+ "step": 190
155
+ },
156
+ {
157
+ "epoch": 1.83,
158
+ "grad_norm": 2.333279848098755,
159
+ "learning_rate": 0.00408256880733945,
160
+ "loss": 0.8019,
161
+ "step": 200
162
+ },
163
+ {
164
+ "epoch": 1.92,
165
+ "grad_norm": 1.9485087394714355,
166
+ "learning_rate": 0.004036697247706422,
167
+ "loss": 0.7689,
168
+ "step": 210
169
+ },
170
+ {
171
+ "epoch": 2.0,
172
+ "eval_accuracy": 0.7278165503489531,
173
+ "eval_f1": 0.3573330762987477,
174
+ "eval_loss": 0.75123530626297,
175
+ "eval_precision": 0.3964031496153109,
176
+ "eval_recall": 0.35266989798605725,
177
+ "eval_runtime": 5.3783,
178
+ "eval_samples_per_second": 186.49,
179
+ "eval_steps_per_second": 11.714,
180
+ "step": 219
181
+ },
182
+ {
183
+ "epoch": 2.01,
184
+ "grad_norm": 1.6179887056350708,
185
+ "learning_rate": 0.003990825688073394,
186
+ "loss": 0.8527,
187
+ "step": 220
188
+ },
189
+ {
190
+ "epoch": 2.1,
191
+ "grad_norm": 1.0684826374053955,
192
+ "learning_rate": 0.00394954128440367,
193
+ "loss": 0.8174,
194
+ "step": 230
195
+ },
196
+ {
197
+ "epoch": 2.19,
198
+ "grad_norm": 0.6670346260070801,
199
+ "learning_rate": 0.003903669724770642,
200
+ "loss": 0.7894,
201
+ "step": 240
202
+ },
203
+ {
204
+ "epoch": 2.28,
205
+ "grad_norm": 1.4650906324386597,
206
+ "learning_rate": 0.003857798165137615,
207
+ "loss": 0.7712,
208
+ "step": 250
209
+ },
210
+ {
211
+ "epoch": 2.37,
212
+ "grad_norm": 1.9125275611877441,
213
+ "learning_rate": 0.003811926605504587,
214
+ "loss": 0.8228,
215
+ "step": 260
216
+ },
217
+ {
218
+ "epoch": 2.47,
219
+ "grad_norm": 2.175058603286743,
220
+ "learning_rate": 0.0037706422018348625,
221
+ "loss": 0.7592,
222
+ "step": 270
223
+ },
224
+ {
225
+ "epoch": 2.56,
226
+ "grad_norm": 1.2160431146621704,
227
+ "learning_rate": 0.003724770642201835,
228
+ "loss": 0.7986,
229
+ "step": 280
230
+ },
231
+ {
232
+ "epoch": 2.65,
233
+ "grad_norm": 0.9580293893814087,
234
+ "learning_rate": 0.0036788990825688075,
235
+ "loss": 0.7767,
236
+ "step": 290
237
+ },
238
+ {
239
+ "epoch": 2.74,
240
+ "grad_norm": 1.544980525970459,
241
+ "learning_rate": 0.0036330275229357802,
242
+ "loss": 0.7882,
243
+ "step": 300
244
+ },
245
+ {
246
+ "epoch": 2.83,
247
+ "grad_norm": 2.8008100986480713,
248
+ "learning_rate": 0.003587155963302752,
249
+ "loss": 0.8818,
250
+ "step": 310
251
+ },
252
+ {
253
+ "epoch": 2.92,
254
+ "grad_norm": 3.061676025390625,
255
+ "learning_rate": 0.003541284403669725,
256
+ "loss": 0.7353,
257
+ "step": 320
258
+ },
259
+ {
260
+ "epoch": 3.0,
261
+ "eval_accuracy": 0.7357926221335992,
262
+ "eval_f1": 0.40020878247545494,
263
+ "eval_loss": 0.7191066145896912,
264
+ "eval_precision": 0.4630387632736769,
265
+ "eval_recall": 0.4201909974743698,
266
+ "eval_runtime": 5.4433,
267
+ "eval_samples_per_second": 184.263,
268
+ "eval_steps_per_second": 11.574,
269
+ "step": 328
270
+ },
271
+ {
272
+ "epoch": 3.01,
273
+ "grad_norm": 6.1841206550598145,
274
+ "learning_rate": 0.003495412844036697,
275
+ "loss": 0.762,
276
+ "step": 330
277
+ },
278
+ {
279
+ "epoch": 3.11,
280
+ "grad_norm": 2.103243589401245,
281
+ "learning_rate": 0.00344954128440367,
282
+ "loss": 0.798,
283
+ "step": 340
284
+ },
285
+ {
286
+ "epoch": 3.2,
287
+ "grad_norm": 2.337041139602661,
288
+ "learning_rate": 0.0034082568807339447,
289
+ "loss": 0.7817,
290
+ "step": 350
291
+ },
292
+ {
293
+ "epoch": 3.29,
294
+ "grad_norm": 3.2973079681396484,
295
+ "learning_rate": 0.0033669724770642204,
296
+ "loss": 0.7669,
297
+ "step": 360
298
+ },
299
+ {
300
+ "epoch": 3.38,
301
+ "grad_norm": 1.7525138854980469,
302
+ "learning_rate": 0.003321100917431193,
303
+ "loss": 0.8788,
304
+ "step": 370
305
+ },
306
+ {
307
+ "epoch": 3.47,
308
+ "grad_norm": 3.467615842819214,
309
+ "learning_rate": 0.003275229357798165,
310
+ "loss": 0.9385,
311
+ "step": 380
312
+ },
313
+ {
314
+ "epoch": 3.56,
315
+ "grad_norm": 2.560269355773926,
316
+ "learning_rate": 0.0032293577981651377,
317
+ "loss": 0.9773,
318
+ "step": 390
319
+ },
320
+ {
321
+ "epoch": 3.65,
322
+ "grad_norm": 0.9047974348068237,
323
+ "learning_rate": 0.00318348623853211,
324
+ "loss": 0.948,
325
+ "step": 400
326
+ },
327
+ {
328
+ "epoch": 3.74,
329
+ "grad_norm": 0.7493894100189209,
330
+ "learning_rate": 0.0031376146788990827,
331
+ "loss": 0.9429,
332
+ "step": 410
333
+ },
334
+ {
335
+ "epoch": 3.84,
336
+ "grad_norm": 0.787327229976654,
337
+ "learning_rate": 0.003091743119266055,
338
+ "loss": 0.9193,
339
+ "step": 420
340
+ },
341
+ {
342
+ "epoch": 3.93,
343
+ "grad_norm": 0.5133536458015442,
344
+ "learning_rate": 0.0030458715596330278,
345
+ "loss": 0.8429,
346
+ "step": 430
347
+ },
348
+ {
349
+ "epoch": 4.0,
350
+ "eval_accuracy": 0.6809571286141576,
351
+ "eval_f1": 0.18506746606597574,
352
+ "eval_loss": 0.7857978940010071,
353
+ "eval_precision": 0.4280081257540274,
354
+ "eval_recall": 0.1812976208760752,
355
+ "eval_runtime": 5.4671,
356
+ "eval_samples_per_second": 183.46,
357
+ "eval_steps_per_second": 11.523,
358
+ "step": 438
359
+ },
360
+ {
361
+ "epoch": 4.02,
362
+ "grad_norm": 1.170052170753479,
363
+ "learning_rate": 0.003,
364
+ "loss": 0.7773,
365
+ "step": 440
366
+ },
367
+ {
368
+ "epoch": 4.11,
369
+ "grad_norm": 1.006057858467102,
370
+ "learning_rate": 0.002954128440366973,
371
+ "loss": 0.8049,
372
+ "step": 450
373
+ },
374
+ {
375
+ "epoch": 4.2,
376
+ "grad_norm": 0.5809192657470703,
377
+ "learning_rate": 0.002908256880733945,
378
+ "loss": 0.81,
379
+ "step": 460
380
+ },
381
+ {
382
+ "epoch": 4.29,
383
+ "grad_norm": 0.7377546429634094,
384
+ "learning_rate": 0.002862385321100918,
385
+ "loss": 0.7943,
386
+ "step": 470
387
+ },
388
+ {
389
+ "epoch": 4.38,
390
+ "grad_norm": 0.5214153528213501,
391
+ "learning_rate": 0.0028165137614678897,
392
+ "loss": 0.7664,
393
+ "step": 480
394
+ },
395
+ {
396
+ "epoch": 4.47,
397
+ "grad_norm": 0.615777313709259,
398
+ "learning_rate": 0.0027706422018348624,
399
+ "loss": 0.7769,
400
+ "step": 490
401
+ },
402
+ {
403
+ "epoch": 4.57,
404
+ "grad_norm": 0.5365859866142273,
405
+ "learning_rate": 0.0027247706422018347,
406
+ "loss": 0.8232,
407
+ "step": 500
408
+ },
409
+ {
410
+ "epoch": 4.66,
411
+ "grad_norm": 0.7110781669616699,
412
+ "learning_rate": 0.0026788990825688075,
413
+ "loss": 0.7755,
414
+ "step": 510
415
+ },
416
+ {
417
+ "epoch": 4.75,
418
+ "grad_norm": 0.8415727615356445,
419
+ "learning_rate": 0.0026330275229357798,
420
+ "loss": 0.8154,
421
+ "step": 520
422
+ },
423
+ {
424
+ "epoch": 4.84,
425
+ "grad_norm": 0.7670438289642334,
426
+ "learning_rate": 0.0025871559633027525,
427
+ "loss": 0.7386,
428
+ "step": 530
429
+ },
430
+ {
431
+ "epoch": 4.93,
432
+ "grad_norm": 0.8495368957519531,
433
+ "learning_rate": 0.002541284403669725,
434
+ "loss": 0.7929,
435
+ "step": 540
436
+ },
437
+ {
438
+ "epoch": 5.0,
439
+ "eval_accuracy": 0.7218344965104686,
440
+ "eval_f1": 0.35225874228381837,
441
+ "eval_loss": 0.7013418674468994,
442
+ "eval_precision": 0.5157907633577941,
443
+ "eval_recall": 0.397101205649215,
444
+ "eval_runtime": 5.3335,
445
+ "eval_samples_per_second": 188.058,
446
+ "eval_steps_per_second": 11.812,
447
+ "step": 547
448
+ },
449
+ {
450
+ "epoch": 5.02,
451
+ "grad_norm": 0.9542437791824341,
452
+ "learning_rate": 0.0024954128440366975,
453
+ "loss": 0.75,
454
+ "step": 550
455
+ },
456
+ {
457
+ "epoch": 5.11,
458
+ "grad_norm": 0.7318850755691528,
459
+ "learning_rate": 0.00244954128440367,
460
+ "loss": 0.7665,
461
+ "step": 560
462
+ },
463
+ {
464
+ "epoch": 5.21,
465
+ "grad_norm": 1.0321910381317139,
466
+ "learning_rate": 0.0024036697247706426,
467
+ "loss": 0.7015,
468
+ "step": 570
469
+ },
470
+ {
471
+ "epoch": 5.3,
472
+ "grad_norm": 0.786632239818573,
473
+ "learning_rate": 0.002357798165137615,
474
+ "loss": 0.7756,
475
+ "step": 580
476
+ },
477
+ {
478
+ "epoch": 5.39,
479
+ "grad_norm": 0.8995092511177063,
480
+ "learning_rate": 0.002311926605504587,
481
+ "loss": 0.79,
482
+ "step": 590
483
+ },
484
+ {
485
+ "epoch": 5.48,
486
+ "grad_norm": 0.7932329773902893,
487
+ "learning_rate": 0.00226605504587156,
488
+ "loss": 0.7069,
489
+ "step": 600
490
+ },
491
+ {
492
+ "epoch": 5.57,
493
+ "grad_norm": 0.7889924645423889,
494
+ "learning_rate": 0.002220183486238532,
495
+ "loss": 0.7507,
496
+ "step": 610
497
+ },
498
+ {
499
+ "epoch": 5.66,
500
+ "grad_norm": 0.8880289793014526,
501
+ "learning_rate": 0.002174311926605505,
502
+ "loss": 0.7341,
503
+ "step": 620
504
+ },
505
+ {
506
+ "epoch": 5.75,
507
+ "grad_norm": 0.5282242298126221,
508
+ "learning_rate": 0.0021284403669724773,
509
+ "loss": 0.685,
510
+ "step": 630
511
+ },
512
+ {
513
+ "epoch": 5.84,
514
+ "grad_norm": 1.16853666305542,
515
+ "learning_rate": 0.0020825688073394496,
516
+ "loss": 0.7149,
517
+ "step": 640
518
+ },
519
+ {
520
+ "epoch": 5.94,
521
+ "grad_norm": 0.6140002012252808,
522
+ "learning_rate": 0.0020366972477064223,
523
+ "loss": 0.6804,
524
+ "step": 650
525
+ },
526
+ {
527
+ "epoch": 6.0,
528
+ "eval_accuracy": 0.7607178464606181,
529
+ "eval_f1": 0.43914392933644575,
530
+ "eval_loss": 0.6822256445884705,
531
+ "eval_precision": 0.5010781993513719,
532
+ "eval_recall": 0.4239506721942319,
533
+ "eval_runtime": 5.2475,
534
+ "eval_samples_per_second": 191.137,
535
+ "eval_steps_per_second": 12.006,
536
+ "step": 657
537
+ },
538
+ {
539
+ "epoch": 6.03,
540
+ "grad_norm": 0.7350448369979858,
541
+ "learning_rate": 0.0019908256880733946,
542
+ "loss": 0.7111,
543
+ "step": 660
544
+ },
545
+ {
546
+ "epoch": 6.12,
547
+ "grad_norm": 0.6007147431373596,
548
+ "learning_rate": 0.001944954128440367,
549
+ "loss": 0.6981,
550
+ "step": 670
551
+ },
552
+ {
553
+ "epoch": 6.21,
554
+ "grad_norm": 0.8717228770256042,
555
+ "learning_rate": 0.0018990825688073396,
556
+ "loss": 0.666,
557
+ "step": 680
558
+ },
559
+ {
560
+ "epoch": 6.3,
561
+ "grad_norm": 0.5795207023620605,
562
+ "learning_rate": 0.0018532110091743121,
563
+ "loss": 0.7206,
564
+ "step": 690
565
+ },
566
+ {
567
+ "epoch": 6.39,
568
+ "grad_norm": 0.9550521373748779,
569
+ "learning_rate": 0.0018073394495412844,
570
+ "loss": 0.7388,
571
+ "step": 700
572
+ },
573
+ {
574
+ "epoch": 6.48,
575
+ "grad_norm": 1.932844877243042,
576
+ "learning_rate": 0.001761467889908257,
577
+ "loss": 0.7198,
578
+ "step": 710
579
+ },
580
+ {
581
+ "epoch": 6.58,
582
+ "grad_norm": 0.8446419835090637,
583
+ "learning_rate": 0.0017155963302752295,
584
+ "loss": 0.6446,
585
+ "step": 720
586
+ },
587
+ {
588
+ "epoch": 6.67,
589
+ "grad_norm": 1.2699838876724243,
590
+ "learning_rate": 0.001669724770642202,
591
+ "loss": 0.683,
592
+ "step": 730
593
+ },
594
+ {
595
+ "epoch": 6.76,
596
+ "grad_norm": 0.8056779503822327,
597
+ "learning_rate": 0.0016238532110091745,
598
+ "loss": 0.7272,
599
+ "step": 740
600
+ },
601
+ {
602
+ "epoch": 6.85,
603
+ "grad_norm": 0.8416026830673218,
604
+ "learning_rate": 0.0015779816513761468,
605
+ "loss": 0.7436,
606
+ "step": 750
607
+ },
608
+ {
609
+ "epoch": 6.94,
610
+ "grad_norm": 0.8119596242904663,
611
+ "learning_rate": 0.0015321100917431193,
612
+ "loss": 0.6922,
613
+ "step": 760
614
+ },
615
+ {
616
+ "epoch": 7.0,
617
+ "eval_accuracy": 0.7666999002991027,
618
+ "eval_f1": 0.5226745508907684,
619
+ "eval_loss": 0.653312087059021,
620
+ "eval_precision": 0.6761986767002692,
621
+ "eval_recall": 0.5105511763591389,
622
+ "eval_runtime": 5.3357,
623
+ "eval_samples_per_second": 187.978,
624
+ "eval_steps_per_second": 11.807,
625
+ "step": 766
626
+ },
627
+ {
628
+ "epoch": 7.03,
629
+ "grad_norm": 1.218758225440979,
630
+ "learning_rate": 0.0014862385321100919,
631
+ "loss": 0.7674,
632
+ "step": 770
633
+ },
634
+ {
635
+ "epoch": 7.12,
636
+ "grad_norm": 1.0076816082000732,
637
+ "learning_rate": 0.0014403669724770644,
638
+ "loss": 0.6783,
639
+ "step": 780
640
+ },
641
+ {
642
+ "epoch": 7.21,
643
+ "grad_norm": 1.2119933366775513,
644
+ "learning_rate": 0.0013944954128440369,
645
+ "loss": 0.6743,
646
+ "step": 790
647
+ },
648
+ {
649
+ "epoch": 7.31,
650
+ "grad_norm": 0.7832847237586975,
651
+ "learning_rate": 0.0013486238532110092,
652
+ "loss": 0.751,
653
+ "step": 800
654
+ },
655
+ {
656
+ "epoch": 7.4,
657
+ "grad_norm": 0.7728474140167236,
658
+ "learning_rate": 0.0013027522935779817,
659
+ "loss": 0.7252,
660
+ "step": 810
661
+ },
662
+ {
663
+ "epoch": 7.49,
664
+ "grad_norm": 1.1566990613937378,
665
+ "learning_rate": 0.0012568807339449542,
666
+ "loss": 0.6176,
667
+ "step": 820
668
+ },
669
+ {
670
+ "epoch": 7.58,
671
+ "grad_norm": 0.8185287117958069,
672
+ "learning_rate": 0.0012110091743119267,
673
+ "loss": 0.6928,
674
+ "step": 830
675
+ },
676
+ {
677
+ "epoch": 7.67,
678
+ "grad_norm": 1.3969968557357788,
679
+ "learning_rate": 0.0011651376146788993,
680
+ "loss": 0.6475,
681
+ "step": 840
682
+ },
683
+ {
684
+ "epoch": 7.76,
685
+ "grad_norm": 1.7943429946899414,
686
+ "learning_rate": 0.0011192660550458716,
687
+ "loss": 0.6414,
688
+ "step": 850
689
+ },
690
+ {
691
+ "epoch": 7.85,
692
+ "grad_norm": 1.6549348831176758,
693
+ "learning_rate": 0.001073394495412844,
694
+ "loss": 0.717,
695
+ "step": 860
696
+ },
697
+ {
698
+ "epoch": 7.95,
699
+ "grad_norm": 1.016310691833496,
700
+ "learning_rate": 0.0010275229357798166,
701
+ "loss": 0.6563,
702
+ "step": 870
703
+ },
704
+ {
705
+ "epoch": 8.0,
706
+ "eval_accuracy": 0.7467597208374875,
707
+ "eval_f1": 0.4496255647360247,
708
+ "eval_loss": 0.6757794618606567,
709
+ "eval_precision": 0.4547903051227771,
710
+ "eval_recall": 0.4588581671719845,
711
+ "eval_runtime": 5.4168,
712
+ "eval_samples_per_second": 185.164,
713
+ "eval_steps_per_second": 11.63,
714
+ "step": 876
715
+ },
716
+ {
717
+ "epoch": 8.04,
718
+ "grad_norm": 1.1468579769134521,
719
+ "learning_rate": 0.0009816513761467891,
720
+ "loss": 0.7141,
721
+ "step": 880
722
+ },
723
+ {
724
+ "epoch": 8.13,
725
+ "grad_norm": 3.9916632175445557,
726
+ "learning_rate": 0.0009357798165137615,
727
+ "loss": 0.6384,
728
+ "step": 890
729
+ },
730
+ {
731
+ "epoch": 8.22,
732
+ "grad_norm": 1.3290263414382935,
733
+ "learning_rate": 0.000889908256880734,
734
+ "loss": 0.6598,
735
+ "step": 900
736
+ },
737
+ {
738
+ "epoch": 8.31,
739
+ "grad_norm": 2.3329484462738037,
740
+ "learning_rate": 0.0008440366972477065,
741
+ "loss": 0.744,
742
+ "step": 910
743
+ },
744
+ {
745
+ "epoch": 8.4,
746
+ "grad_norm": 1.5532264709472656,
747
+ "learning_rate": 0.000798165137614679,
748
+ "loss": 0.64,
749
+ "step": 920
750
+ },
751
+ {
752
+ "epoch": 8.49,
753
+ "grad_norm": 0.8567171692848206,
754
+ "learning_rate": 0.0007522935779816515,
755
+ "loss": 0.6803,
756
+ "step": 930
757
+ },
758
+ {
759
+ "epoch": 8.58,
760
+ "grad_norm": 0.8911744356155396,
761
+ "learning_rate": 0.0007064220183486239,
762
+ "loss": 0.6808,
763
+ "step": 940
764
+ },
765
+ {
766
+ "epoch": 8.68,
767
+ "grad_norm": 0.8479019999504089,
768
+ "learning_rate": 0.0006605504587155964,
769
+ "loss": 0.6848,
770
+ "step": 950
771
+ },
772
+ {
773
+ "epoch": 8.77,
774
+ "grad_norm": 1.6710033416748047,
775
+ "learning_rate": 0.0006146788990825688,
776
+ "loss": 0.6663,
777
+ "step": 960
778
+ },
779
+ {
780
+ "epoch": 8.86,
781
+ "grad_norm": 0.7447875142097473,
782
+ "learning_rate": 0.0005688073394495413,
783
+ "loss": 0.6389,
784
+ "step": 970
785
+ },
786
+ {
787
+ "epoch": 8.95,
788
+ "grad_norm": 1.6779547929763794,
789
+ "learning_rate": 0.0005229357798165138,
790
+ "loss": 0.6985,
791
+ "step": 980
792
+ },
793
+ {
794
+ "epoch": 9.0,
795
+ "eval_accuracy": 0.7647058823529411,
796
+ "eval_f1": 0.49146885132144036,
797
+ "eval_loss": 0.6264088749885559,
798
+ "eval_precision": 0.6450867892155376,
799
+ "eval_recall": 0.4691799634422585,
800
+ "eval_runtime": 5.2889,
801
+ "eval_samples_per_second": 189.641,
802
+ "eval_steps_per_second": 11.912,
803
+ "step": 985
804
+ },
805
+ {
806
+ "epoch": 9.04,
807
+ "grad_norm": 0.9829887747764587,
808
+ "learning_rate": 0.00047706422018348627,
809
+ "loss": 0.608,
810
+ "step": 990
811
+ },
812
+ {
813
+ "epoch": 9.13,
814
+ "grad_norm": 0.8272444009780884,
815
+ "learning_rate": 0.00043119266055045873,
816
+ "loss": 0.6661,
817
+ "step": 1000
818
+ },
819
+ {
820
+ "epoch": 9.22,
821
+ "grad_norm": 1.056658387184143,
822
+ "learning_rate": 0.0003853211009174312,
823
+ "loss": 0.6982,
824
+ "step": 1010
825
+ },
826
+ {
827
+ "epoch": 9.32,
828
+ "grad_norm": 0.8954740166664124,
829
+ "learning_rate": 0.0003394495412844037,
830
+ "loss": 0.5824,
831
+ "step": 1020
832
+ },
833
+ {
834
+ "epoch": 9.41,
835
+ "grad_norm": 1.664057731628418,
836
+ "learning_rate": 0.0002935779816513762,
837
+ "loss": 0.657,
838
+ "step": 1030
839
+ },
840
+ {
841
+ "epoch": 9.5,
842
+ "grad_norm": 0.9140777587890625,
843
+ "learning_rate": 0.00024770642201834864,
844
+ "loss": 0.5975,
845
+ "step": 1040
846
+ },
847
+ {
848
+ "epoch": 9.59,
849
+ "grad_norm": 1.4085102081298828,
850
+ "learning_rate": 0.0002018348623853211,
851
+ "loss": 0.6377,
852
+ "step": 1050
853
+ },
854
+ {
855
+ "epoch": 9.68,
856
+ "grad_norm": 0.9538210034370422,
857
+ "learning_rate": 0.0001559633027522936,
858
+ "loss": 0.6508,
859
+ "step": 1060
860
+ },
861
+ {
862
+ "epoch": 9.77,
863
+ "grad_norm": 1.5182217359542847,
864
+ "learning_rate": 0.00011009174311926606,
865
+ "loss": 0.6776,
866
+ "step": 1070
867
+ },
868
+ {
869
+ "epoch": 9.86,
870
+ "grad_norm": 2.307227849960327,
871
+ "learning_rate": 6.422018348623854e-05,
872
+ "loss": 0.6758,
873
+ "step": 1080
874
+ },
875
+ {
876
+ "epoch": 9.95,
877
+ "grad_norm": 0.9896465539932251,
878
+ "learning_rate": 1.834862385321101e-05,
879
+ "loss": 0.6283,
880
+ "step": 1090
881
+ },
882
+ {
883
+ "epoch": 9.95,
884
+ "eval_accuracy": 0.7676969092721835,
885
+ "eval_f1": 0.50879281522548,
886
+ "eval_loss": 0.6179494857788086,
887
+ "eval_precision": 0.5889156507510112,
888
+ "eval_recall": 0.4796382542284182,
889
+ "eval_runtime": 5.4809,
890
+ "eval_samples_per_second": 182.998,
891
+ "eval_steps_per_second": 11.494,
892
+ "step": 1090
893
+ },
894
+ {
895
+ "epoch": 9.95,
896
+ "step": 1090,
897
+ "total_flos": 5.442882169274339e+18,
898
+ "train_loss": 0.7558124568484245,
899
+ "train_runtime": 825.7866,
900
+ "train_samples_per_second": 84.852,
901
+ "train_steps_per_second": 1.32
902
+ }
903
+ ],
904
+ "logging_steps": 10,
905
+ "max_steps": 1090,
906
+ "num_input_tokens_seen": 0,
907
+ "num_train_epochs": 10,
908
+ "save_steps": 500,
909
+ "total_flos": 5.442882169274339e+18,
910
+ "train_batch_size": 16,
911
+ "trial_name": null,
912
+ "trial_params": null
913
+ }