matthieulel commited on
Commit
c829aa7
1 Parent(s): 262847f

End of training

Browse files
Files changed (5) hide show
  1. README.md +8 -6
  2. all_results.json +15 -0
  3. eval_results.json +11 -0
  4. train_results.json +7 -0
  5. trainer_state.json +1506 -0
README.md CHANGED
@@ -2,6 +2,8 @@
2
  license: apache-2.0
3
  base_model: facebook/convnextv2-femto-1k-224
4
  tags:
 
 
5
  - generated_from_trainer
6
  metrics:
7
  - accuracy
@@ -18,13 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  # convnextv2-femto-1k-224-finetuned-galaxy10-decals
20
 
21
- This model is a fine-tuned version of [facebook/convnextv2-femto-1k-224](https://huggingface.co/facebook/convnextv2-femto-1k-224) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.4423
24
- - Accuracy: 0.8517
25
- - Precision: 0.8483
26
- - Recall: 0.8517
27
- - F1: 0.8489
28
 
29
  ## Model description
30
 
 
2
  license: apache-2.0
3
  base_model: facebook/convnextv2-femto-1k-224
4
  tags:
5
+ - image-classification
6
+ - vision
7
  - generated_from_trainer
8
  metrics:
9
  - accuracy
 
20
 
21
  # convnextv2-femto-1k-224-finetuned-galaxy10-decals
22
 
23
+ This model is a fine-tuned version of [facebook/convnextv2-femto-1k-224](https://huggingface.co/facebook/convnextv2-femto-1k-224) on the matthieulel/galaxy10_decals dataset.
24
  It achieves the following results on the evaluation set:
25
+ - Loss: 0.4463
26
+ - Accuracy: 0.8551
27
+ - Precision: 0.8509
28
+ - Recall: 0.8551
29
+ - F1: 0.8514
30
 
31
  ## Model description
32
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 29.76,
3
+ "eval_accuracy": 0.855129650507328,
4
+ "eval_f1": 0.8513639573641667,
5
+ "eval_loss": 0.4463195502758026,
6
+ "eval_precision": 0.8509353589216274,
7
+ "eval_recall": 0.855129650507328,
8
+ "eval_runtime": 11.2146,
9
+ "eval_samples_per_second": 158.187,
10
+ "eval_steps_per_second": 2.497,
11
+ "train_loss": 0.5892986941081222,
12
+ "train_runtime": 3548.2349,
13
+ "train_samples_per_second": 134.957,
14
+ "train_steps_per_second": 0.524
15
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 29.76,
3
+ "eval_accuracy": 0.855129650507328,
4
+ "eval_f1": 0.8513639573641667,
5
+ "eval_loss": 0.4463195502758026,
6
+ "eval_precision": 0.8509353589216274,
7
+ "eval_recall": 0.855129650507328,
8
+ "eval_runtime": 11.2146,
9
+ "eval_samples_per_second": 158.187,
10
+ "eval_steps_per_second": 2.497
11
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 29.76,
3
+ "train_loss": 0.5892986941081222,
4
+ "train_runtime": 3548.2349,
5
+ "train_samples_per_second": 134.957,
6
+ "train_steps_per_second": 0.524
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,1506 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.855129650507328,
3
+ "best_model_checkpoint": "convnextv2-femto-1k-224-finetuned-galaxy10-decals/checkpoint-1750",
4
+ "epoch": 29.76,
5
+ "eval_steps": 500,
6
+ "global_step": 1860,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.16,
13
+ "learning_rate": 2.688172043010753e-06,
14
+ "loss": 2.2938,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.32,
19
+ "learning_rate": 5.376344086021506e-06,
20
+ "loss": 2.2304,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.48,
25
+ "learning_rate": 8.064516129032258e-06,
26
+ "loss": 2.1459,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.64,
31
+ "learning_rate": 1.0752688172043012e-05,
32
+ "loss": 2.0438,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.8,
37
+ "learning_rate": 1.3440860215053763e-05,
38
+ "loss": 1.9135,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.96,
43
+ "learning_rate": 1.6129032258064517e-05,
44
+ "loss": 1.7326,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.99,
49
+ "eval_accuracy": 0.47576099210823,
50
+ "eval_f1": 0.4311527322114678,
51
+ "eval_loss": 1.6139589548110962,
52
+ "eval_precision": 0.45304651741597685,
53
+ "eval_recall": 0.47576099210823,
54
+ "eval_runtime": 11.1814,
55
+ "eval_samples_per_second": 158.656,
56
+ "eval_steps_per_second": 2.504,
57
+ "step": 62
58
+ },
59
+ {
60
+ "epoch": 1.12,
61
+ "learning_rate": 1.881720430107527e-05,
62
+ "loss": 1.6306,
63
+ "step": 70
64
+ },
65
+ {
66
+ "epoch": 1.28,
67
+ "learning_rate": 2.1505376344086024e-05,
68
+ "loss": 1.4936,
69
+ "step": 80
70
+ },
71
+ {
72
+ "epoch": 1.44,
73
+ "learning_rate": 2.4193548387096777e-05,
74
+ "loss": 1.4009,
75
+ "step": 90
76
+ },
77
+ {
78
+ "epoch": 1.6,
79
+ "learning_rate": 2.6881720430107527e-05,
80
+ "loss": 1.3279,
81
+ "step": 100
82
+ },
83
+ {
84
+ "epoch": 1.76,
85
+ "learning_rate": 2.9569892473118284e-05,
86
+ "loss": 1.2286,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 1.92,
91
+ "learning_rate": 3.2258064516129034e-05,
92
+ "loss": 1.1706,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 2.0,
97
+ "eval_accuracy": 0.6217587373167982,
98
+ "eval_f1": 0.5983094219388831,
99
+ "eval_loss": 1.082655906677246,
100
+ "eval_precision": 0.6293693683935561,
101
+ "eval_recall": 0.6217587373167982,
102
+ "eval_runtime": 11.1774,
103
+ "eval_samples_per_second": 158.712,
104
+ "eval_steps_per_second": 2.505,
105
+ "step": 125
106
+ },
107
+ {
108
+ "epoch": 2.08,
109
+ "learning_rate": 3.494623655913979e-05,
110
+ "loss": 1.1132,
111
+ "step": 130
112
+ },
113
+ {
114
+ "epoch": 2.24,
115
+ "learning_rate": 3.763440860215054e-05,
116
+ "loss": 1.064,
117
+ "step": 140
118
+ },
119
+ {
120
+ "epoch": 2.4,
121
+ "learning_rate": 4.032258064516129e-05,
122
+ "loss": 1.0006,
123
+ "step": 150
124
+ },
125
+ {
126
+ "epoch": 2.56,
127
+ "learning_rate": 4.301075268817205e-05,
128
+ "loss": 0.9611,
129
+ "step": 160
130
+ },
131
+ {
132
+ "epoch": 2.72,
133
+ "learning_rate": 4.56989247311828e-05,
134
+ "loss": 0.9414,
135
+ "step": 170
136
+ },
137
+ {
138
+ "epoch": 2.88,
139
+ "learning_rate": 4.8387096774193554e-05,
140
+ "loss": 0.9046,
141
+ "step": 180
142
+ },
143
+ {
144
+ "epoch": 2.99,
145
+ "eval_accuracy": 0.7542277339346111,
146
+ "eval_f1": 0.735142804150836,
147
+ "eval_loss": 0.7417691349983215,
148
+ "eval_precision": 0.7565976866219676,
149
+ "eval_recall": 0.7542277339346111,
150
+ "eval_runtime": 11.2195,
151
+ "eval_samples_per_second": 158.118,
152
+ "eval_steps_per_second": 2.496,
153
+ "step": 187
154
+ },
155
+ {
156
+ "epoch": 3.04,
157
+ "learning_rate": 4.98805256869773e-05,
158
+ "loss": 0.9057,
159
+ "step": 190
160
+ },
161
+ {
162
+ "epoch": 3.2,
163
+ "learning_rate": 4.9581839904420555e-05,
164
+ "loss": 0.8151,
165
+ "step": 200
166
+ },
167
+ {
168
+ "epoch": 3.36,
169
+ "learning_rate": 4.92831541218638e-05,
170
+ "loss": 0.8072,
171
+ "step": 210
172
+ },
173
+ {
174
+ "epoch": 3.52,
175
+ "learning_rate": 4.898446833930705e-05,
176
+ "loss": 0.8198,
177
+ "step": 220
178
+ },
179
+ {
180
+ "epoch": 3.68,
181
+ "learning_rate": 4.86857825567503e-05,
182
+ "loss": 0.7624,
183
+ "step": 230
184
+ },
185
+ {
186
+ "epoch": 3.84,
187
+ "learning_rate": 4.8387096774193554e-05,
188
+ "loss": 0.7693,
189
+ "step": 240
190
+ },
191
+ {
192
+ "epoch": 4.0,
193
+ "learning_rate": 4.80884109916368e-05,
194
+ "loss": 0.7305,
195
+ "step": 250
196
+ },
197
+ {
198
+ "epoch": 4.0,
199
+ "eval_accuracy": 0.7880496054114995,
200
+ "eval_f1": 0.7788883723004506,
201
+ "eval_loss": 0.654006838798523,
202
+ "eval_precision": 0.7822643370758304,
203
+ "eval_recall": 0.7880496054114995,
204
+ "eval_runtime": 11.1652,
205
+ "eval_samples_per_second": 158.886,
206
+ "eval_steps_per_second": 2.508,
207
+ "step": 250
208
+ },
209
+ {
210
+ "epoch": 4.16,
211
+ "learning_rate": 4.778972520908005e-05,
212
+ "loss": 0.7522,
213
+ "step": 260
214
+ },
215
+ {
216
+ "epoch": 4.32,
217
+ "learning_rate": 4.74910394265233e-05,
218
+ "loss": 0.7198,
219
+ "step": 270
220
+ },
221
+ {
222
+ "epoch": 4.48,
223
+ "learning_rate": 4.7192353643966546e-05,
224
+ "loss": 0.6943,
225
+ "step": 280
226
+ },
227
+ {
228
+ "epoch": 4.64,
229
+ "learning_rate": 4.6893667861409805e-05,
230
+ "loss": 0.6856,
231
+ "step": 290
232
+ },
233
+ {
234
+ "epoch": 4.8,
235
+ "learning_rate": 4.659498207885305e-05,
236
+ "loss": 0.7069,
237
+ "step": 300
238
+ },
239
+ {
240
+ "epoch": 4.96,
241
+ "learning_rate": 4.62962962962963e-05,
242
+ "loss": 0.6378,
243
+ "step": 310
244
+ },
245
+ {
246
+ "epoch": 4.99,
247
+ "eval_accuracy": 0.8089064261555806,
248
+ "eval_f1": 0.8046878653419761,
249
+ "eval_loss": 0.5902923941612244,
250
+ "eval_precision": 0.8053951949534539,
251
+ "eval_recall": 0.8089064261555806,
252
+ "eval_runtime": 10.981,
253
+ "eval_samples_per_second": 161.552,
254
+ "eval_steps_per_second": 2.55,
255
+ "step": 312
256
+ },
257
+ {
258
+ "epoch": 5.12,
259
+ "learning_rate": 4.5997610513739546e-05,
260
+ "loss": 0.6489,
261
+ "step": 320
262
+ },
263
+ {
264
+ "epoch": 5.28,
265
+ "learning_rate": 4.56989247311828e-05,
266
+ "loss": 0.6917,
267
+ "step": 330
268
+ },
269
+ {
270
+ "epoch": 5.44,
271
+ "learning_rate": 4.540023894862604e-05,
272
+ "loss": 0.6772,
273
+ "step": 340
274
+ },
275
+ {
276
+ "epoch": 5.6,
277
+ "learning_rate": 4.51015531660693e-05,
278
+ "loss": 0.6807,
279
+ "step": 350
280
+ },
281
+ {
282
+ "epoch": 5.76,
283
+ "learning_rate": 4.4802867383512545e-05,
284
+ "loss": 0.6261,
285
+ "step": 360
286
+ },
287
+ {
288
+ "epoch": 5.92,
289
+ "learning_rate": 4.4504181600955796e-05,
290
+ "loss": 0.6447,
291
+ "step": 370
292
+ },
293
+ {
294
+ "epoch": 6.0,
295
+ "eval_accuracy": 0.7953776775648252,
296
+ "eval_f1": 0.7864574325749994,
297
+ "eval_loss": 0.5914511680603027,
298
+ "eval_precision": 0.8041053046306357,
299
+ "eval_recall": 0.7953776775648252,
300
+ "eval_runtime": 11.2077,
301
+ "eval_samples_per_second": 158.283,
302
+ "eval_steps_per_second": 2.498,
303
+ "step": 375
304
+ },
305
+ {
306
+ "epoch": 6.08,
307
+ "learning_rate": 4.420549581839905e-05,
308
+ "loss": 0.6146,
309
+ "step": 380
310
+ },
311
+ {
312
+ "epoch": 6.24,
313
+ "learning_rate": 4.390681003584229e-05,
314
+ "loss": 0.6366,
315
+ "step": 390
316
+ },
317
+ {
318
+ "epoch": 6.4,
319
+ "learning_rate": 4.360812425328555e-05,
320
+ "loss": 0.6154,
321
+ "step": 400
322
+ },
323
+ {
324
+ "epoch": 6.56,
325
+ "learning_rate": 4.3309438470728796e-05,
326
+ "loss": 0.6192,
327
+ "step": 410
328
+ },
329
+ {
330
+ "epoch": 6.72,
331
+ "learning_rate": 4.301075268817205e-05,
332
+ "loss": 0.602,
333
+ "step": 420
334
+ },
335
+ {
336
+ "epoch": 6.88,
337
+ "learning_rate": 4.271206690561529e-05,
338
+ "loss": 0.6228,
339
+ "step": 430
340
+ },
341
+ {
342
+ "epoch": 6.99,
343
+ "eval_accuracy": 0.8162344983089064,
344
+ "eval_f1": 0.8164409478534023,
345
+ "eval_loss": 0.5513012409210205,
346
+ "eval_precision": 0.8201138144283517,
347
+ "eval_recall": 0.8162344983089064,
348
+ "eval_runtime": 11.1181,
349
+ "eval_samples_per_second": 159.56,
350
+ "eval_steps_per_second": 2.518,
351
+ "step": 437
352
+ },
353
+ {
354
+ "epoch": 7.04,
355
+ "learning_rate": 4.241338112305854e-05,
356
+ "loss": 0.658,
357
+ "step": 440
358
+ },
359
+ {
360
+ "epoch": 7.2,
361
+ "learning_rate": 4.2114695340501795e-05,
362
+ "loss": 0.6222,
363
+ "step": 450
364
+ },
365
+ {
366
+ "epoch": 7.36,
367
+ "learning_rate": 4.1816009557945046e-05,
368
+ "loss": 0.5926,
369
+ "step": 460
370
+ },
371
+ {
372
+ "epoch": 7.52,
373
+ "learning_rate": 4.15173237753883e-05,
374
+ "loss": 0.6165,
375
+ "step": 470
376
+ },
377
+ {
378
+ "epoch": 7.68,
379
+ "learning_rate": 4.121863799283154e-05,
380
+ "loss": 0.5626,
381
+ "step": 480
382
+ },
383
+ {
384
+ "epoch": 7.84,
385
+ "learning_rate": 4.0919952210274794e-05,
386
+ "loss": 0.5954,
387
+ "step": 490
388
+ },
389
+ {
390
+ "epoch": 8.0,
391
+ "learning_rate": 4.062126642771804e-05,
392
+ "loss": 0.5758,
393
+ "step": 500
394
+ },
395
+ {
396
+ "epoch": 8.0,
397
+ "eval_accuracy": 0.8077790304396844,
398
+ "eval_f1": 0.8033498781721965,
399
+ "eval_loss": 0.5553491115570068,
400
+ "eval_precision": 0.8094422769730032,
401
+ "eval_recall": 0.8077790304396844,
402
+ "eval_runtime": 10.9339,
403
+ "eval_samples_per_second": 162.247,
404
+ "eval_steps_per_second": 2.561,
405
+ "step": 500
406
+ },
407
+ {
408
+ "epoch": 8.16,
409
+ "learning_rate": 4.032258064516129e-05,
410
+ "loss": 0.5548,
411
+ "step": 510
412
+ },
413
+ {
414
+ "epoch": 8.32,
415
+ "learning_rate": 4.002389486260454e-05,
416
+ "loss": 0.5706,
417
+ "step": 520
418
+ },
419
+ {
420
+ "epoch": 8.48,
421
+ "learning_rate": 3.972520908004779e-05,
422
+ "loss": 0.6086,
423
+ "step": 530
424
+ },
425
+ {
426
+ "epoch": 8.64,
427
+ "learning_rate": 3.9426523297491045e-05,
428
+ "loss": 0.5517,
429
+ "step": 540
430
+ },
431
+ {
432
+ "epoch": 8.8,
433
+ "learning_rate": 3.912783751493429e-05,
434
+ "loss": 0.5867,
435
+ "step": 550
436
+ },
437
+ {
438
+ "epoch": 8.96,
439
+ "learning_rate": 3.882915173237754e-05,
440
+ "loss": 0.5831,
441
+ "step": 560
442
+ },
443
+ {
444
+ "epoch": 8.99,
445
+ "eval_accuracy": 0.8190529875986471,
446
+ "eval_f1": 0.8161809371275839,
447
+ "eval_loss": 0.5207228064537048,
448
+ "eval_precision": 0.8246311803721595,
449
+ "eval_recall": 0.8190529875986471,
450
+ "eval_runtime": 10.9527,
451
+ "eval_samples_per_second": 161.969,
452
+ "eval_steps_per_second": 2.556,
453
+ "step": 562
454
+ },
455
+ {
456
+ "epoch": 9.12,
457
+ "learning_rate": 3.8530465949820786e-05,
458
+ "loss": 0.5634,
459
+ "step": 570
460
+ },
461
+ {
462
+ "epoch": 9.28,
463
+ "learning_rate": 3.8231780167264044e-05,
464
+ "loss": 0.5498,
465
+ "step": 580
466
+ },
467
+ {
468
+ "epoch": 9.44,
469
+ "learning_rate": 3.793309438470729e-05,
470
+ "loss": 0.5508,
471
+ "step": 590
472
+ },
473
+ {
474
+ "epoch": 9.6,
475
+ "learning_rate": 3.763440860215054e-05,
476
+ "loss": 0.5759,
477
+ "step": 600
478
+ },
479
+ {
480
+ "epoch": 9.76,
481
+ "learning_rate": 3.7335722819593785e-05,
482
+ "loss": 0.5446,
483
+ "step": 610
484
+ },
485
+ {
486
+ "epoch": 9.92,
487
+ "learning_rate": 3.7037037037037037e-05,
488
+ "loss": 0.537,
489
+ "step": 620
490
+ },
491
+ {
492
+ "epoch": 10.0,
493
+ "eval_accuracy": 0.8286358511837655,
494
+ "eval_f1": 0.8222133347623622,
495
+ "eval_loss": 0.49807021021842957,
496
+ "eval_precision": 0.8232622598461639,
497
+ "eval_recall": 0.8286358511837655,
498
+ "eval_runtime": 11.0481,
499
+ "eval_samples_per_second": 160.57,
500
+ "eval_steps_per_second": 2.534,
501
+ "step": 625
502
+ },
503
+ {
504
+ "epoch": 10.08,
505
+ "learning_rate": 3.673835125448029e-05,
506
+ "loss": 0.5233,
507
+ "step": 630
508
+ },
509
+ {
510
+ "epoch": 10.24,
511
+ "learning_rate": 3.643966547192354e-05,
512
+ "loss": 0.5483,
513
+ "step": 640
514
+ },
515
+ {
516
+ "epoch": 10.4,
517
+ "learning_rate": 3.614097968936679e-05,
518
+ "loss": 0.5943,
519
+ "step": 650
520
+ },
521
+ {
522
+ "epoch": 10.56,
523
+ "learning_rate": 3.5842293906810036e-05,
524
+ "loss": 0.5458,
525
+ "step": 660
526
+ },
527
+ {
528
+ "epoch": 10.72,
529
+ "learning_rate": 3.554360812425329e-05,
530
+ "loss": 0.5287,
531
+ "step": 670
532
+ },
533
+ {
534
+ "epoch": 10.88,
535
+ "learning_rate": 3.524492234169653e-05,
536
+ "loss": 0.5322,
537
+ "step": 680
538
+ },
539
+ {
540
+ "epoch": 10.99,
541
+ "eval_accuracy": 0.8337091319052987,
542
+ "eval_f1": 0.8332293554448692,
543
+ "eval_loss": 0.48300543427467346,
544
+ "eval_precision": 0.8339814097176121,
545
+ "eval_recall": 0.8337091319052987,
546
+ "eval_runtime": 10.9344,
547
+ "eval_samples_per_second": 162.241,
548
+ "eval_steps_per_second": 2.561,
549
+ "step": 687
550
+ },
551
+ {
552
+ "epoch": 11.04,
553
+ "learning_rate": 3.494623655913979e-05,
554
+ "loss": 0.5104,
555
+ "step": 690
556
+ },
557
+ {
558
+ "epoch": 11.2,
559
+ "learning_rate": 3.4647550776583035e-05,
560
+ "loss": 0.5155,
561
+ "step": 700
562
+ },
563
+ {
564
+ "epoch": 11.36,
565
+ "learning_rate": 3.4348864994026287e-05,
566
+ "loss": 0.503,
567
+ "step": 710
568
+ },
569
+ {
570
+ "epoch": 11.52,
571
+ "learning_rate": 3.405017921146954e-05,
572
+ "loss": 0.5046,
573
+ "step": 720
574
+ },
575
+ {
576
+ "epoch": 11.68,
577
+ "learning_rate": 3.375149342891278e-05,
578
+ "loss": 0.5186,
579
+ "step": 730
580
+ },
581
+ {
582
+ "epoch": 11.84,
583
+ "learning_rate": 3.3452807646356034e-05,
584
+ "loss": 0.5152,
585
+ "step": 740
586
+ },
587
+ {
588
+ "epoch": 12.0,
589
+ "learning_rate": 3.3154121863799286e-05,
590
+ "loss": 0.5171,
591
+ "step": 750
592
+ },
593
+ {
594
+ "epoch": 12.0,
595
+ "eval_accuracy": 0.8252536640360767,
596
+ "eval_f1": 0.8233299145947462,
597
+ "eval_loss": 0.4931337237358093,
598
+ "eval_precision": 0.8258305946354466,
599
+ "eval_recall": 0.8252536640360767,
600
+ "eval_runtime": 11.1817,
601
+ "eval_samples_per_second": 158.652,
602
+ "eval_steps_per_second": 2.504,
603
+ "step": 750
604
+ },
605
+ {
606
+ "epoch": 12.16,
607
+ "learning_rate": 3.285543608124254e-05,
608
+ "loss": 0.5018,
609
+ "step": 760
610
+ },
611
+ {
612
+ "epoch": 12.32,
613
+ "learning_rate": 3.255675029868578e-05,
614
+ "loss": 0.4759,
615
+ "step": 770
616
+ },
617
+ {
618
+ "epoch": 12.48,
619
+ "learning_rate": 3.2258064516129034e-05,
620
+ "loss": 0.495,
621
+ "step": 780
622
+ },
623
+ {
624
+ "epoch": 12.64,
625
+ "learning_rate": 3.195937873357228e-05,
626
+ "loss": 0.5318,
627
+ "step": 790
628
+ },
629
+ {
630
+ "epoch": 12.8,
631
+ "learning_rate": 3.1660692951015537e-05,
632
+ "loss": 0.5157,
633
+ "step": 800
634
+ },
635
+ {
636
+ "epoch": 12.96,
637
+ "learning_rate": 3.136200716845878e-05,
638
+ "loss": 0.5092,
639
+ "step": 810
640
+ },
641
+ {
642
+ "epoch": 12.99,
643
+ "eval_accuracy": 0.8359639233370914,
644
+ "eval_f1": 0.8324554385353468,
645
+ "eval_loss": 0.4890992045402527,
646
+ "eval_precision": 0.8360359228354232,
647
+ "eval_recall": 0.8359639233370914,
648
+ "eval_runtime": 11.1644,
649
+ "eval_samples_per_second": 158.898,
650
+ "eval_steps_per_second": 2.508,
651
+ "step": 812
652
+ },
653
+ {
654
+ "epoch": 13.12,
655
+ "learning_rate": 3.106332138590203e-05,
656
+ "loss": 0.4732,
657
+ "step": 820
658
+ },
659
+ {
660
+ "epoch": 13.28,
661
+ "learning_rate": 3.0764635603345284e-05,
662
+ "loss": 0.4864,
663
+ "step": 830
664
+ },
665
+ {
666
+ "epoch": 13.44,
667
+ "learning_rate": 3.046594982078853e-05,
668
+ "loss": 0.5229,
669
+ "step": 840
670
+ },
671
+ {
672
+ "epoch": 13.6,
673
+ "learning_rate": 3.016726403823178e-05,
674
+ "loss": 0.4742,
675
+ "step": 850
676
+ },
677
+ {
678
+ "epoch": 13.76,
679
+ "learning_rate": 2.9868578255675032e-05,
680
+ "loss": 0.4896,
681
+ "step": 860
682
+ },
683
+ {
684
+ "epoch": 13.92,
685
+ "learning_rate": 2.9569892473118284e-05,
686
+ "loss": 0.5245,
687
+ "step": 870
688
+ },
689
+ {
690
+ "epoch": 14.0,
691
+ "eval_accuracy": 0.8449830890642616,
692
+ "eval_f1": 0.843130857303652,
693
+ "eval_loss": 0.45847734808921814,
694
+ "eval_precision": 0.8451815258877542,
695
+ "eval_recall": 0.8449830890642616,
696
+ "eval_runtime": 10.9339,
697
+ "eval_samples_per_second": 162.248,
698
+ "eval_steps_per_second": 2.561,
699
+ "step": 875
700
+ },
701
+ {
702
+ "epoch": 14.08,
703
+ "learning_rate": 2.9271206690561532e-05,
704
+ "loss": 0.5004,
705
+ "step": 880
706
+ },
707
+ {
708
+ "epoch": 14.24,
709
+ "learning_rate": 2.897252090800478e-05,
710
+ "loss": 0.4723,
711
+ "step": 890
712
+ },
713
+ {
714
+ "epoch": 14.4,
715
+ "learning_rate": 2.8673835125448028e-05,
716
+ "loss": 0.4719,
717
+ "step": 900
718
+ },
719
+ {
720
+ "epoch": 14.56,
721
+ "learning_rate": 2.8375149342891276e-05,
722
+ "loss": 0.4979,
723
+ "step": 910
724
+ },
725
+ {
726
+ "epoch": 14.72,
727
+ "learning_rate": 2.807646356033453e-05,
728
+ "loss": 0.4896,
729
+ "step": 920
730
+ },
731
+ {
732
+ "epoch": 14.88,
733
+ "learning_rate": 2.777777777777778e-05,
734
+ "loss": 0.4585,
735
+ "step": 930
736
+ },
737
+ {
738
+ "epoch": 14.99,
739
+ "eval_accuracy": 0.8421645997745209,
740
+ "eval_f1": 0.8407153527988325,
741
+ "eval_loss": 0.468184232711792,
742
+ "eval_precision": 0.8406936989160351,
743
+ "eval_recall": 0.8421645997745209,
744
+ "eval_runtime": 11.186,
745
+ "eval_samples_per_second": 158.591,
746
+ "eval_steps_per_second": 2.503,
747
+ "step": 937
748
+ },
749
+ {
750
+ "epoch": 15.04,
751
+ "learning_rate": 2.747909199522103e-05,
752
+ "loss": 0.4718,
753
+ "step": 940
754
+ },
755
+ {
756
+ "epoch": 15.2,
757
+ "learning_rate": 2.718040621266428e-05,
758
+ "loss": 0.4483,
759
+ "step": 950
760
+ },
761
+ {
762
+ "epoch": 15.36,
763
+ "learning_rate": 2.6881720430107527e-05,
764
+ "loss": 0.4781,
765
+ "step": 960
766
+ },
767
+ {
768
+ "epoch": 15.52,
769
+ "learning_rate": 2.6583034647550775e-05,
770
+ "loss": 0.4695,
771
+ "step": 970
772
+ },
773
+ {
774
+ "epoch": 15.68,
775
+ "learning_rate": 2.628434886499403e-05,
776
+ "loss": 0.4535,
777
+ "step": 980
778
+ },
779
+ {
780
+ "epoch": 15.84,
781
+ "learning_rate": 2.5985663082437278e-05,
782
+ "loss": 0.4839,
783
+ "step": 990
784
+ },
785
+ {
786
+ "epoch": 16.0,
787
+ "learning_rate": 2.5686977299880526e-05,
788
+ "loss": 0.455,
789
+ "step": 1000
790
+ },
791
+ {
792
+ "epoch": 16.0,
793
+ "eval_accuracy": 0.8387824126268321,
794
+ "eval_f1": 0.8357307552762908,
795
+ "eval_loss": 0.46591871976852417,
796
+ "eval_precision": 0.8370114800227467,
797
+ "eval_recall": 0.8387824126268321,
798
+ "eval_runtime": 11.1556,
799
+ "eval_samples_per_second": 159.023,
800
+ "eval_steps_per_second": 2.51,
801
+ "step": 1000
802
+ },
803
+ {
804
+ "epoch": 16.16,
805
+ "learning_rate": 2.5388291517323774e-05,
806
+ "loss": 0.4539,
807
+ "step": 1010
808
+ },
809
+ {
810
+ "epoch": 16.32,
811
+ "learning_rate": 2.5089605734767026e-05,
812
+ "loss": 0.4382,
813
+ "step": 1020
814
+ },
815
+ {
816
+ "epoch": 16.48,
817
+ "learning_rate": 2.4790919952210277e-05,
818
+ "loss": 0.4571,
819
+ "step": 1030
820
+ },
821
+ {
822
+ "epoch": 16.64,
823
+ "learning_rate": 2.4492234169653525e-05,
824
+ "loss": 0.4859,
825
+ "step": 1040
826
+ },
827
+ {
828
+ "epoch": 16.8,
829
+ "learning_rate": 2.4193548387096777e-05,
830
+ "loss": 0.4746,
831
+ "step": 1050
832
+ },
833
+ {
834
+ "epoch": 16.96,
835
+ "learning_rate": 2.3894862604540025e-05,
836
+ "loss": 0.4175,
837
+ "step": 1060
838
+ },
839
+ {
840
+ "epoch": 16.99,
841
+ "eval_accuracy": 0.8382187147688839,
842
+ "eval_f1": 0.8351200477977211,
843
+ "eval_loss": 0.46334725618362427,
844
+ "eval_precision": 0.8363298861342015,
845
+ "eval_recall": 0.8382187147688839,
846
+ "eval_runtime": 11.2008,
847
+ "eval_samples_per_second": 158.381,
848
+ "eval_steps_per_second": 2.5,
849
+ "step": 1062
850
+ },
851
+ {
852
+ "epoch": 17.12,
853
+ "learning_rate": 2.3596176821983273e-05,
854
+ "loss": 0.4366,
855
+ "step": 1070
856
+ },
857
+ {
858
+ "epoch": 17.28,
859
+ "learning_rate": 2.3297491039426525e-05,
860
+ "loss": 0.4512,
861
+ "step": 1080
862
+ },
863
+ {
864
+ "epoch": 17.44,
865
+ "learning_rate": 2.2998805256869773e-05,
866
+ "loss": 0.4799,
867
+ "step": 1090
868
+ },
869
+ {
870
+ "epoch": 17.6,
871
+ "learning_rate": 2.270011947431302e-05,
872
+ "loss": 0.4578,
873
+ "step": 1100
874
+ },
875
+ {
876
+ "epoch": 17.76,
877
+ "learning_rate": 2.2401433691756272e-05,
878
+ "loss": 0.4475,
879
+ "step": 1110
880
+ },
881
+ {
882
+ "epoch": 17.92,
883
+ "learning_rate": 2.2102747909199524e-05,
884
+ "loss": 0.4574,
885
+ "step": 1120
886
+ },
887
+ {
888
+ "epoch": 18.0,
889
+ "eval_accuracy": 0.8449830890642616,
890
+ "eval_f1": 0.8428263369544735,
891
+ "eval_loss": 0.4478762447834015,
892
+ "eval_precision": 0.8434520195050768,
893
+ "eval_recall": 0.8449830890642616,
894
+ "eval_runtime": 10.9306,
895
+ "eval_samples_per_second": 162.296,
896
+ "eval_steps_per_second": 2.562,
897
+ "step": 1125
898
+ },
899
+ {
900
+ "epoch": 18.08,
901
+ "learning_rate": 2.1804062126642775e-05,
902
+ "loss": 0.4546,
903
+ "step": 1130
904
+ },
905
+ {
906
+ "epoch": 18.24,
907
+ "learning_rate": 2.1505376344086024e-05,
908
+ "loss": 0.4212,
909
+ "step": 1140
910
+ },
911
+ {
912
+ "epoch": 18.4,
913
+ "learning_rate": 2.120669056152927e-05,
914
+ "loss": 0.4404,
915
+ "step": 1150
916
+ },
917
+ {
918
+ "epoch": 18.56,
919
+ "learning_rate": 2.0908004778972523e-05,
920
+ "loss": 0.4349,
921
+ "step": 1160
922
+ },
923
+ {
924
+ "epoch": 18.72,
925
+ "learning_rate": 2.060931899641577e-05,
926
+ "loss": 0.423,
927
+ "step": 1170
928
+ },
929
+ {
930
+ "epoch": 18.88,
931
+ "learning_rate": 2.031063321385902e-05,
932
+ "loss": 0.4593,
933
+ "step": 1180
934
+ },
935
+ {
936
+ "epoch": 18.99,
937
+ "eval_accuracy": 0.8438556933483653,
938
+ "eval_f1": 0.8430170152239038,
939
+ "eval_loss": 0.457675039768219,
940
+ "eval_precision": 0.8446455966507553,
941
+ "eval_recall": 0.8438556933483653,
942
+ "eval_runtime": 11.2178,
943
+ "eval_samples_per_second": 158.141,
944
+ "eval_steps_per_second": 2.496,
945
+ "step": 1187
946
+ },
947
+ {
948
+ "epoch": 19.04,
949
+ "learning_rate": 2.001194743130227e-05,
950
+ "loss": 0.4544,
951
+ "step": 1190
952
+ },
953
+ {
954
+ "epoch": 19.2,
955
+ "learning_rate": 1.9713261648745522e-05,
956
+ "loss": 0.4195,
957
+ "step": 1200
958
+ },
959
+ {
960
+ "epoch": 19.36,
961
+ "learning_rate": 1.941457586618877e-05,
962
+ "loss": 0.4367,
963
+ "step": 1210
964
+ },
965
+ {
966
+ "epoch": 19.52,
967
+ "learning_rate": 1.9115890083632022e-05,
968
+ "loss": 0.4389,
969
+ "step": 1220
970
+ },
971
+ {
972
+ "epoch": 19.68,
973
+ "learning_rate": 1.881720430107527e-05,
974
+ "loss": 0.4247,
975
+ "step": 1230
976
+ },
977
+ {
978
+ "epoch": 19.84,
979
+ "learning_rate": 1.8518518518518518e-05,
980
+ "loss": 0.4572,
981
+ "step": 1240
982
+ },
983
+ {
984
+ "epoch": 20.0,
985
+ "learning_rate": 1.821983273596177e-05,
986
+ "loss": 0.4423,
987
+ "step": 1250
988
+ },
989
+ {
990
+ "epoch": 20.0,
991
+ "eval_accuracy": 0.8461104847801578,
992
+ "eval_f1": 0.8413071154997201,
993
+ "eval_loss": 0.458936870098114,
994
+ "eval_precision": 0.8425790053686426,
995
+ "eval_recall": 0.8461104847801578,
996
+ "eval_runtime": 10.9443,
997
+ "eval_samples_per_second": 162.093,
998
+ "eval_steps_per_second": 2.558,
999
+ "step": 1250
1000
+ },
1001
+ {
1002
+ "epoch": 20.16,
1003
+ "learning_rate": 1.7921146953405018e-05,
1004
+ "loss": 0.4311,
1005
+ "step": 1260
1006
+ },
1007
+ {
1008
+ "epoch": 20.32,
1009
+ "learning_rate": 1.7622461170848266e-05,
1010
+ "loss": 0.4377,
1011
+ "step": 1270
1012
+ },
1013
+ {
1014
+ "epoch": 20.48,
1015
+ "learning_rate": 1.7323775388291518e-05,
1016
+ "loss": 0.4156,
1017
+ "step": 1280
1018
+ },
1019
+ {
1020
+ "epoch": 20.64,
1021
+ "learning_rate": 1.702508960573477e-05,
1022
+ "loss": 0.4129,
1023
+ "step": 1290
1024
+ },
1025
+ {
1026
+ "epoch": 20.8,
1027
+ "learning_rate": 1.6726403823178017e-05,
1028
+ "loss": 0.4459,
1029
+ "step": 1300
1030
+ },
1031
+ {
1032
+ "epoch": 20.96,
1033
+ "learning_rate": 1.642771804062127e-05,
1034
+ "loss": 0.4141,
1035
+ "step": 1310
1036
+ },
1037
+ {
1038
+ "epoch": 20.99,
1039
+ "eval_accuracy": 0.8325817361894025,
1040
+ "eval_f1": 0.8299380783938981,
1041
+ "eval_loss": 0.4732419550418854,
1042
+ "eval_precision": 0.8338974146074354,
1043
+ "eval_recall": 0.8325817361894025,
1044
+ "eval_runtime": 10.9478,
1045
+ "eval_samples_per_second": 162.042,
1046
+ "eval_steps_per_second": 2.558,
1047
+ "step": 1312
1048
+ },
1049
+ {
1050
+ "epoch": 21.12,
1051
+ "learning_rate": 1.6129032258064517e-05,
1052
+ "loss": 0.414,
1053
+ "step": 1320
1054
+ },
1055
+ {
1056
+ "epoch": 21.28,
1057
+ "learning_rate": 1.5830346475507768e-05,
1058
+ "loss": 0.4224,
1059
+ "step": 1330
1060
+ },
1061
+ {
1062
+ "epoch": 21.44,
1063
+ "learning_rate": 1.5531660692951016e-05,
1064
+ "loss": 0.3991,
1065
+ "step": 1340
1066
+ },
1067
+ {
1068
+ "epoch": 21.6,
1069
+ "learning_rate": 1.5232974910394265e-05,
1070
+ "loss": 0.4082,
1071
+ "step": 1350
1072
+ },
1073
+ {
1074
+ "epoch": 21.76,
1075
+ "learning_rate": 1.4934289127837516e-05,
1076
+ "loss": 0.4352,
1077
+ "step": 1360
1078
+ },
1079
+ {
1080
+ "epoch": 21.92,
1081
+ "learning_rate": 1.4635603345280766e-05,
1082
+ "loss": 0.4534,
1083
+ "step": 1370
1084
+ },
1085
+ {
1086
+ "epoch": 22.0,
1087
+ "eval_accuracy": 0.8461104847801578,
1088
+ "eval_f1": 0.843322651812383,
1089
+ "eval_loss": 0.44769322872161865,
1090
+ "eval_precision": 0.8422435569205257,
1091
+ "eval_recall": 0.8461104847801578,
1092
+ "eval_runtime": 11.2138,
1093
+ "eval_samples_per_second": 158.197,
1094
+ "eval_steps_per_second": 2.497,
1095
+ "step": 1375
1096
+ },
1097
+ {
1098
+ "epoch": 22.08,
1099
+ "learning_rate": 1.4336917562724014e-05,
1100
+ "loss": 0.4102,
1101
+ "step": 1380
1102
+ },
1103
+ {
1104
+ "epoch": 22.24,
1105
+ "learning_rate": 1.4038231780167265e-05,
1106
+ "loss": 0.3859,
1107
+ "step": 1390
1108
+ },
1109
+ {
1110
+ "epoch": 22.4,
1111
+ "learning_rate": 1.3739545997610515e-05,
1112
+ "loss": 0.4144,
1113
+ "step": 1400
1114
+ },
1115
+ {
1116
+ "epoch": 22.56,
1117
+ "learning_rate": 1.3440860215053763e-05,
1118
+ "loss": 0.4071,
1119
+ "step": 1410
1120
+ },
1121
+ {
1122
+ "epoch": 22.72,
1123
+ "learning_rate": 1.3142174432497015e-05,
1124
+ "loss": 0.4384,
1125
+ "step": 1420
1126
+ },
1127
+ {
1128
+ "epoch": 22.88,
1129
+ "learning_rate": 1.2843488649940263e-05,
1130
+ "loss": 0.4011,
1131
+ "step": 1430
1132
+ },
1133
+ {
1134
+ "epoch": 22.99,
1135
+ "eval_accuracy": 0.8399098083427283,
1136
+ "eval_f1": 0.8389578241540734,
1137
+ "eval_loss": 0.46136653423309326,
1138
+ "eval_precision": 0.8403350140459771,
1139
+ "eval_recall": 0.8399098083427283,
1140
+ "eval_runtime": 11.1841,
1141
+ "eval_samples_per_second": 158.618,
1142
+ "eval_steps_per_second": 2.504,
1143
+ "step": 1437
1144
+ },
1145
+ {
1146
+ "epoch": 23.04,
1147
+ "learning_rate": 1.2544802867383513e-05,
1148
+ "loss": 0.4209,
1149
+ "step": 1440
1150
+ },
1151
+ {
1152
+ "epoch": 23.2,
1153
+ "learning_rate": 1.2246117084826763e-05,
1154
+ "loss": 0.3915,
1155
+ "step": 1450
1156
+ },
1157
+ {
1158
+ "epoch": 23.36,
1159
+ "learning_rate": 1.1947431302270013e-05,
1160
+ "loss": 0.4129,
1161
+ "step": 1460
1162
+ },
1163
+ {
1164
+ "epoch": 23.52,
1165
+ "learning_rate": 1.1648745519713262e-05,
1166
+ "loss": 0.403,
1167
+ "step": 1470
1168
+ },
1169
+ {
1170
+ "epoch": 23.68,
1171
+ "learning_rate": 1.135005973715651e-05,
1172
+ "loss": 0.4429,
1173
+ "step": 1480
1174
+ },
1175
+ {
1176
+ "epoch": 23.84,
1177
+ "learning_rate": 1.1051373954599762e-05,
1178
+ "loss": 0.3703,
1179
+ "step": 1490
1180
+ },
1181
+ {
1182
+ "epoch": 24.0,
1183
+ "learning_rate": 1.0752688172043012e-05,
1184
+ "loss": 0.4162,
1185
+ "step": 1500
1186
+ },
1187
+ {
1188
+ "epoch": 24.0,
1189
+ "eval_accuracy": 0.8449830890642616,
1190
+ "eval_f1": 0.843741650033861,
1191
+ "eval_loss": 0.4575561285018921,
1192
+ "eval_precision": 0.8443478233753845,
1193
+ "eval_recall": 0.8449830890642616,
1194
+ "eval_runtime": 11.1712,
1195
+ "eval_samples_per_second": 158.801,
1196
+ "eval_steps_per_second": 2.506,
1197
+ "step": 1500
1198
+ },
1199
+ {
1200
+ "epoch": 24.16,
1201
+ "learning_rate": 1.0454002389486262e-05,
1202
+ "loss": 0.4174,
1203
+ "step": 1510
1204
+ },
1205
+ {
1206
+ "epoch": 24.32,
1207
+ "learning_rate": 1.015531660692951e-05,
1208
+ "loss": 0.4191,
1209
+ "step": 1520
1210
+ },
1211
+ {
1212
+ "epoch": 24.48,
1213
+ "learning_rate": 9.856630824372761e-06,
1214
+ "loss": 0.3995,
1215
+ "step": 1530
1216
+ },
1217
+ {
1218
+ "epoch": 24.64,
1219
+ "learning_rate": 9.557945041816011e-06,
1220
+ "loss": 0.3704,
1221
+ "step": 1540
1222
+ },
1223
+ {
1224
+ "epoch": 24.8,
1225
+ "learning_rate": 9.259259259259259e-06,
1226
+ "loss": 0.3922,
1227
+ "step": 1550
1228
+ },
1229
+ {
1230
+ "epoch": 24.96,
1231
+ "learning_rate": 8.960573476702509e-06,
1232
+ "loss": 0.4291,
1233
+ "step": 1560
1234
+ },
1235
+ {
1236
+ "epoch": 24.99,
1237
+ "eval_accuracy": 0.8472378804960541,
1238
+ "eval_f1": 0.8439028003078168,
1239
+ "eval_loss": 0.46094247698783875,
1240
+ "eval_precision": 0.8441048634680693,
1241
+ "eval_recall": 0.8472378804960541,
1242
+ "eval_runtime": 11.1545,
1243
+ "eval_samples_per_second": 159.039,
1244
+ "eval_steps_per_second": 2.51,
1245
+ "step": 1562
1246
+ },
1247
+ {
1248
+ "epoch": 25.12,
1249
+ "learning_rate": 8.661887694145759e-06,
1250
+ "loss": 0.3758,
1251
+ "step": 1570
1252
+ },
1253
+ {
1254
+ "epoch": 25.28,
1255
+ "learning_rate": 8.363201911589009e-06,
1256
+ "loss": 0.3927,
1257
+ "step": 1580
1258
+ },
1259
+ {
1260
+ "epoch": 25.44,
1261
+ "learning_rate": 8.064516129032258e-06,
1262
+ "loss": 0.3879,
1263
+ "step": 1590
1264
+ },
1265
+ {
1266
+ "epoch": 25.6,
1267
+ "learning_rate": 7.765830346475508e-06,
1268
+ "loss": 0.4042,
1269
+ "step": 1600
1270
+ },
1271
+ {
1272
+ "epoch": 25.76,
1273
+ "learning_rate": 7.467144563918758e-06,
1274
+ "loss": 0.3688,
1275
+ "step": 1610
1276
+ },
1277
+ {
1278
+ "epoch": 25.92,
1279
+ "learning_rate": 7.168458781362007e-06,
1280
+ "loss": 0.3698,
1281
+ "step": 1620
1282
+ },
1283
+ {
1284
+ "epoch": 26.0,
1285
+ "eval_accuracy": 0.850620067643743,
1286
+ "eval_f1": 0.8481741261819264,
1287
+ "eval_loss": 0.4469279944896698,
1288
+ "eval_precision": 0.8483855513561823,
1289
+ "eval_recall": 0.850620067643743,
1290
+ "eval_runtime": 11.2076,
1291
+ "eval_samples_per_second": 158.285,
1292
+ "eval_steps_per_second": 2.498,
1293
+ "step": 1625
1294
+ },
1295
+ {
1296
+ "epoch": 26.08,
1297
+ "learning_rate": 6.869772998805258e-06,
1298
+ "loss": 0.4052,
1299
+ "step": 1630
1300
+ },
1301
+ {
1302
+ "epoch": 26.24,
1303
+ "learning_rate": 6.5710872162485075e-06,
1304
+ "loss": 0.4057,
1305
+ "step": 1640
1306
+ },
1307
+ {
1308
+ "epoch": 26.4,
1309
+ "learning_rate": 6.2724014336917564e-06,
1310
+ "loss": 0.3853,
1311
+ "step": 1650
1312
+ },
1313
+ {
1314
+ "epoch": 26.56,
1315
+ "learning_rate": 5.973715651135006e-06,
1316
+ "loss": 0.3798,
1317
+ "step": 1660
1318
+ },
1319
+ {
1320
+ "epoch": 26.72,
1321
+ "learning_rate": 5.675029868578255e-06,
1322
+ "loss": 0.3933,
1323
+ "step": 1670
1324
+ },
1325
+ {
1326
+ "epoch": 26.88,
1327
+ "learning_rate": 5.376344086021506e-06,
1328
+ "loss": 0.3957,
1329
+ "step": 1680
1330
+ },
1331
+ {
1332
+ "epoch": 26.99,
1333
+ "eval_accuracy": 0.8478015783540023,
1334
+ "eval_f1": 0.8464028635804792,
1335
+ "eval_loss": 0.44876715540885925,
1336
+ "eval_precision": 0.8464108342480681,
1337
+ "eval_recall": 0.8478015783540023,
1338
+ "eval_runtime": 10.9293,
1339
+ "eval_samples_per_second": 162.316,
1340
+ "eval_steps_per_second": 2.562,
1341
+ "step": 1687
1342
+ },
1343
+ {
1344
+ "epoch": 27.04,
1345
+ "learning_rate": 5.077658303464755e-06,
1346
+ "loss": 0.3879,
1347
+ "step": 1690
1348
+ },
1349
+ {
1350
+ "epoch": 27.2,
1351
+ "learning_rate": 4.7789725209080055e-06,
1352
+ "loss": 0.3943,
1353
+ "step": 1700
1354
+ },
1355
+ {
1356
+ "epoch": 27.36,
1357
+ "learning_rate": 4.4802867383512545e-06,
1358
+ "loss": 0.3865,
1359
+ "step": 1710
1360
+ },
1361
+ {
1362
+ "epoch": 27.52,
1363
+ "learning_rate": 4.181600955794504e-06,
1364
+ "loss": 0.3752,
1365
+ "step": 1720
1366
+ },
1367
+ {
1368
+ "epoch": 27.68,
1369
+ "learning_rate": 3.882915173237754e-06,
1370
+ "loss": 0.3583,
1371
+ "step": 1730
1372
+ },
1373
+ {
1374
+ "epoch": 27.84,
1375
+ "learning_rate": 3.5842293906810035e-06,
1376
+ "loss": 0.3843,
1377
+ "step": 1740
1378
+ },
1379
+ {
1380
+ "epoch": 28.0,
1381
+ "learning_rate": 3.2855436081242537e-06,
1382
+ "loss": 0.4053,
1383
+ "step": 1750
1384
+ },
1385
+ {
1386
+ "epoch": 28.0,
1387
+ "eval_accuracy": 0.855129650507328,
1388
+ "eval_f1": 0.8513639573641667,
1389
+ "eval_loss": 0.4463195502758026,
1390
+ "eval_precision": 0.8509353589216274,
1391
+ "eval_recall": 0.855129650507328,
1392
+ "eval_runtime": 10.9539,
1393
+ "eval_samples_per_second": 161.952,
1394
+ "eval_steps_per_second": 2.556,
1395
+ "step": 1750
1396
+ },
1397
+ {
1398
+ "epoch": 28.16,
1399
+ "learning_rate": 2.986857825567503e-06,
1400
+ "loss": 0.3802,
1401
+ "step": 1760
1402
+ },
1403
+ {
1404
+ "epoch": 28.32,
1405
+ "learning_rate": 2.688172043010753e-06,
1406
+ "loss": 0.3878,
1407
+ "step": 1770
1408
+ },
1409
+ {
1410
+ "epoch": 28.48,
1411
+ "learning_rate": 2.3894862604540028e-06,
1412
+ "loss": 0.3738,
1413
+ "step": 1780
1414
+ },
1415
+ {
1416
+ "epoch": 28.64,
1417
+ "learning_rate": 2.090800477897252e-06,
1418
+ "loss": 0.3838,
1419
+ "step": 1790
1420
+ },
1421
+ {
1422
+ "epoch": 28.8,
1423
+ "learning_rate": 1.7921146953405017e-06,
1424
+ "loss": 0.3811,
1425
+ "step": 1800
1426
+ },
1427
+ {
1428
+ "epoch": 28.96,
1429
+ "learning_rate": 1.4934289127837516e-06,
1430
+ "loss": 0.377,
1431
+ "step": 1810
1432
+ },
1433
+ {
1434
+ "epoch": 28.99,
1435
+ "eval_accuracy": 0.8540022547914318,
1436
+ "eval_f1": 0.850826196788804,
1437
+ "eval_loss": 0.44290536642074585,
1438
+ "eval_precision": 0.8504223635839849,
1439
+ "eval_recall": 0.8540022547914318,
1440
+ "eval_runtime": 11.1822,
1441
+ "eval_samples_per_second": 158.645,
1442
+ "eval_steps_per_second": 2.504,
1443
+ "step": 1812
1444
+ },
1445
+ {
1446
+ "epoch": 29.12,
1447
+ "learning_rate": 1.1947431302270014e-06,
1448
+ "loss": 0.3908,
1449
+ "step": 1820
1450
+ },
1451
+ {
1452
+ "epoch": 29.28,
1453
+ "learning_rate": 8.960573476702509e-07,
1454
+ "loss": 0.3616,
1455
+ "step": 1830
1456
+ },
1457
+ {
1458
+ "epoch": 29.44,
1459
+ "learning_rate": 5.973715651135007e-07,
1460
+ "loss": 0.3761,
1461
+ "step": 1840
1462
+ },
1463
+ {
1464
+ "epoch": 29.6,
1465
+ "learning_rate": 2.9868578255675034e-07,
1466
+ "loss": 0.3725,
1467
+ "step": 1850
1468
+ },
1469
+ {
1470
+ "epoch": 29.76,
1471
+ "learning_rate": 0.0,
1472
+ "loss": 0.381,
1473
+ "step": 1860
1474
+ },
1475
+ {
1476
+ "epoch": 29.76,
1477
+ "eval_accuracy": 0.8517474633596392,
1478
+ "eval_f1": 0.8489137431765212,
1479
+ "eval_loss": 0.44227272272109985,
1480
+ "eval_precision": 0.8482780609927283,
1481
+ "eval_recall": 0.8517474633596392,
1482
+ "eval_runtime": 11.2993,
1483
+ "eval_samples_per_second": 157.0,
1484
+ "eval_steps_per_second": 2.478,
1485
+ "step": 1860
1486
+ },
1487
+ {
1488
+ "epoch": 29.76,
1489
+ "step": 1860,
1490
+ "total_flos": 2.081824070672425e+18,
1491
+ "train_loss": 0.5892986941081222,
1492
+ "train_runtime": 3548.2349,
1493
+ "train_samples_per_second": 134.957,
1494
+ "train_steps_per_second": 0.524
1495
+ }
1496
+ ],
1497
+ "logging_steps": 10,
1498
+ "max_steps": 1860,
1499
+ "num_input_tokens_seen": 0,
1500
+ "num_train_epochs": 30,
1501
+ "save_steps": 500,
1502
+ "total_flos": 2.081824070672425e+18,
1503
+ "train_batch_size": 64,
1504
+ "trial_name": null,
1505
+ "trial_params": null
1506
+ }