venetis commited on
Commit
f7497cc
1 Parent(s): bedc420

Training in progress, epoch 1

Browse files
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_accuracy": 0.4911738417994935,
4
+ "eval_loss": 2.389798164367676,
5
+ "eval_runtime": 100.2695,
6
+ "eval_samples_per_second": 267.798,
7
+ "eval_steps_per_second": 4.189,
8
+ "total_flos": 1.84051547235869e+19,
9
+ "train_loss": 3.4896271976373963,
10
+ "train_runtime": 4580.4169,
11
+ "train_samples_per_second": 158.281,
12
+ "train_steps_per_second": 0.618
13
+ }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e28b3e38c7039e0fe64fe81f52187a38bb5b032074e95d6eff1959da621f3bf1
3
  size 112494677
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ddfc2b5ab6bc5ebd205a544e382b2a8e01bcc0e0ac9c266a355b39e9a758ebc
3
  size 112494677
runs/Nov24_04-50-04_52fc842d0b35/events.out.tfevents.1669270290.52fc842d0b35.585.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e1cef1832f2d1b552e874aaec039ab2bc2cf3a90691b3eaa93594974a18ea7a
3
+ size 686
runs/Nov24_07-05-33_52fc842d0b35/1669273564.2109654/events.out.tfevents.1669273564.52fc842d0b35.585.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f34c3824b3b6f57457368a719731b1e2cdb68dfaa07f2130b6c3ba422476cd5c
3
+ size 5511
runs/Nov24_07-05-33_52fc842d0b35/events.out.tfevents.1669273564.52fc842d0b35.585.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c1d21d2ccbcbcd191548189e50bec0b74b5909ae09693469561188b01c0661e
3
+ size 38633
test_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_accuracy": 0.4911738417994935,
4
+ "eval_loss": 2.389798164367676,
5
+ "eval_runtime": 100.2695,
6
+ "eval_samples_per_second": 267.798,
7
+ "eval_steps_per_second": 4.189
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 1.84051547235869e+19,
4
+ "train_loss": 3.4896271976373963,
5
+ "train_runtime": 4580.4169,
6
+ "train_samples_per_second": 158.281,
7
+ "train_steps_per_second": 0.618
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1768 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.4911738417994935,
3
+ "best_model_checkpoint": "convnext-tiny-224_album_vit/checkpoint-2832",
4
+ "epoch": 3.0,
5
+ "global_step": 2832,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.01,
12
+ "learning_rate": 1.7605633802816904e-06,
13
+ "loss": 5.9445,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.02,
18
+ "learning_rate": 3.521126760563381e-06,
19
+ "loss": 5.9461,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.03,
24
+ "learning_rate": 5.28169014084507e-06,
25
+ "loss": 5.9367,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.04,
30
+ "learning_rate": 7.042253521126762e-06,
31
+ "loss": 5.9287,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.05,
36
+ "learning_rate": 8.802816901408451e-06,
37
+ "loss": 5.9162,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.06,
42
+ "learning_rate": 1.056338028169014e-05,
43
+ "loss": 5.9084,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.07,
48
+ "learning_rate": 1.2323943661971832e-05,
49
+ "loss": 5.8957,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.08,
54
+ "learning_rate": 1.4084507042253523e-05,
55
+ "loss": 5.8748,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.1,
60
+ "learning_rate": 1.5845070422535213e-05,
61
+ "loss": 5.8597,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.11,
66
+ "learning_rate": 1.7605633802816902e-05,
67
+ "loss": 5.8312,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.12,
72
+ "learning_rate": 1.9366197183098592e-05,
73
+ "loss": 5.7844,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.13,
78
+ "learning_rate": 2.112676056338028e-05,
79
+ "loss": 5.7469,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.14,
84
+ "learning_rate": 2.2887323943661974e-05,
85
+ "loss": 5.6846,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.15,
90
+ "learning_rate": 2.4647887323943664e-05,
91
+ "loss": 5.6204,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.16,
96
+ "learning_rate": 2.640845070422535e-05,
97
+ "loss": 5.5601,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.17,
102
+ "learning_rate": 2.8169014084507046e-05,
103
+ "loss": 5.5053,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.18,
108
+ "learning_rate": 2.9929577464788733e-05,
109
+ "loss": 5.4203,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.19,
114
+ "learning_rate": 3.1690140845070426e-05,
115
+ "loss": 5.3959,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.2,
120
+ "learning_rate": 3.345070422535211e-05,
121
+ "loss": 5.369,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.21,
126
+ "learning_rate": 3.5211267605633805e-05,
127
+ "loss": 5.319,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.22,
132
+ "learning_rate": 3.69718309859155e-05,
133
+ "loss": 5.363,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.23,
138
+ "learning_rate": 3.8732394366197184e-05,
139
+ "loss": 5.2891,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.24,
144
+ "learning_rate": 4.049295774647888e-05,
145
+ "loss": 5.2756,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.25,
150
+ "learning_rate": 4.225352112676056e-05,
151
+ "loss": 5.2821,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.26,
156
+ "learning_rate": 4.4014084507042256e-05,
157
+ "loss": 5.2228,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.28,
162
+ "learning_rate": 4.577464788732395e-05,
163
+ "loss": 5.2485,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 0.29,
168
+ "learning_rate": 4.7535211267605635e-05,
169
+ "loss": 5.2134,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 0.3,
174
+ "learning_rate": 4.929577464788733e-05,
175
+ "loss": 5.1768,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 0.31,
180
+ "learning_rate": 4.988226059654632e-05,
181
+ "loss": 5.153,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 0.32,
186
+ "learning_rate": 4.968602825745683e-05,
187
+ "loss": 5.1334,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 0.33,
192
+ "learning_rate": 4.9489795918367346e-05,
193
+ "loss": 5.0489,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 0.34,
198
+ "learning_rate": 4.929356357927787e-05,
199
+ "loss": 5.0801,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 0.35,
204
+ "learning_rate": 4.909733124018839e-05,
205
+ "loss": 4.9967,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 0.36,
210
+ "learning_rate": 4.8901098901098904e-05,
211
+ "loss": 4.9866,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 0.37,
216
+ "learning_rate": 4.870486656200942e-05,
217
+ "loss": 4.897,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 0.38,
222
+ "learning_rate": 4.850863422291994e-05,
223
+ "loss": 4.9258,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 0.39,
228
+ "learning_rate": 4.8312401883830455e-05,
229
+ "loss": 4.843,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 0.4,
234
+ "learning_rate": 4.811616954474098e-05,
235
+ "loss": 4.8081,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 0.41,
240
+ "learning_rate": 4.791993720565149e-05,
241
+ "loss": 4.7773,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 0.42,
246
+ "learning_rate": 4.772370486656201e-05,
247
+ "loss": 4.772,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 0.43,
252
+ "learning_rate": 4.752747252747253e-05,
253
+ "loss": 4.7747,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 0.44,
258
+ "learning_rate": 4.733124018838305e-05,
259
+ "loss": 4.6581,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 0.46,
264
+ "learning_rate": 4.7135007849293564e-05,
265
+ "loss": 4.733,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 0.47,
270
+ "learning_rate": 4.6938775510204086e-05,
271
+ "loss": 4.6203,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 0.48,
276
+ "learning_rate": 4.67425431711146e-05,
277
+ "loss": 4.6023,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 0.49,
282
+ "learning_rate": 4.654631083202512e-05,
283
+ "loss": 4.5723,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 0.5,
288
+ "learning_rate": 4.6350078492935637e-05,
289
+ "loss": 4.5551,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 0.51,
294
+ "learning_rate": 4.615384615384616e-05,
295
+ "loss": 4.5284,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 0.52,
300
+ "learning_rate": 4.595761381475667e-05,
301
+ "loss": 4.5553,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 0.53,
306
+ "learning_rate": 4.5761381475667194e-05,
307
+ "loss": 4.4564,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 0.54,
312
+ "learning_rate": 4.556514913657771e-05,
313
+ "loss": 4.442,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 0.55,
318
+ "learning_rate": 4.5368916797488224e-05,
319
+ "loss": 4.4394,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 0.56,
324
+ "learning_rate": 4.5172684458398746e-05,
325
+ "loss": 4.4142,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 0.57,
330
+ "learning_rate": 4.497645211930927e-05,
331
+ "loss": 4.3796,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 0.58,
336
+ "learning_rate": 4.478021978021978e-05,
337
+ "loss": 4.406,
338
+ "step": 550
339
+ },
340
+ {
341
+ "epoch": 0.59,
342
+ "learning_rate": 4.4583987441130297e-05,
343
+ "loss": 4.3724,
344
+ "step": 560
345
+ },
346
+ {
347
+ "epoch": 0.6,
348
+ "learning_rate": 4.438775510204082e-05,
349
+ "loss": 4.3546,
350
+ "step": 570
351
+ },
352
+ {
353
+ "epoch": 0.61,
354
+ "learning_rate": 4.419152276295134e-05,
355
+ "loss": 4.2688,
356
+ "step": 580
357
+ },
358
+ {
359
+ "epoch": 0.62,
360
+ "learning_rate": 4.3995290423861854e-05,
361
+ "loss": 4.2699,
362
+ "step": 590
363
+ },
364
+ {
365
+ "epoch": 0.64,
366
+ "learning_rate": 4.379905808477237e-05,
367
+ "loss": 4.2794,
368
+ "step": 600
369
+ },
370
+ {
371
+ "epoch": 0.65,
372
+ "learning_rate": 4.360282574568289e-05,
373
+ "loss": 4.2094,
374
+ "step": 610
375
+ },
376
+ {
377
+ "epoch": 0.66,
378
+ "learning_rate": 4.340659340659341e-05,
379
+ "loss": 4.2296,
380
+ "step": 620
381
+ },
382
+ {
383
+ "epoch": 0.67,
384
+ "learning_rate": 4.321036106750393e-05,
385
+ "loss": 4.1843,
386
+ "step": 630
387
+ },
388
+ {
389
+ "epoch": 0.68,
390
+ "learning_rate": 4.301412872841444e-05,
391
+ "loss": 4.1559,
392
+ "step": 640
393
+ },
394
+ {
395
+ "epoch": 0.69,
396
+ "learning_rate": 4.281789638932496e-05,
397
+ "loss": 4.1437,
398
+ "step": 650
399
+ },
400
+ {
401
+ "epoch": 0.7,
402
+ "learning_rate": 4.2621664050235485e-05,
403
+ "loss": 4.0615,
404
+ "step": 660
405
+ },
406
+ {
407
+ "epoch": 0.71,
408
+ "learning_rate": 4.2425431711146e-05,
409
+ "loss": 4.0465,
410
+ "step": 670
411
+ },
412
+ {
413
+ "epoch": 0.72,
414
+ "learning_rate": 4.2229199372056514e-05,
415
+ "loss": 4.0517,
416
+ "step": 680
417
+ },
418
+ {
419
+ "epoch": 0.73,
420
+ "learning_rate": 4.2032967032967036e-05,
421
+ "loss": 4.0597,
422
+ "step": 690
423
+ },
424
+ {
425
+ "epoch": 0.74,
426
+ "learning_rate": 4.183673469387756e-05,
427
+ "loss": 4.1122,
428
+ "step": 700
429
+ },
430
+ {
431
+ "epoch": 0.75,
432
+ "learning_rate": 4.164050235478807e-05,
433
+ "loss": 4.0793,
434
+ "step": 710
435
+ },
436
+ {
437
+ "epoch": 0.76,
438
+ "learning_rate": 4.144427001569859e-05,
439
+ "loss": 4.0427,
440
+ "step": 720
441
+ },
442
+ {
443
+ "epoch": 0.77,
444
+ "learning_rate": 4.124803767660911e-05,
445
+ "loss": 3.971,
446
+ "step": 730
447
+ },
448
+ {
449
+ "epoch": 0.78,
450
+ "learning_rate": 4.105180533751963e-05,
451
+ "loss": 3.9802,
452
+ "step": 740
453
+ },
454
+ {
455
+ "epoch": 0.79,
456
+ "learning_rate": 4.0855572998430145e-05,
457
+ "loss": 3.917,
458
+ "step": 750
459
+ },
460
+ {
461
+ "epoch": 0.81,
462
+ "learning_rate": 4.065934065934066e-05,
463
+ "loss": 3.946,
464
+ "step": 760
465
+ },
466
+ {
467
+ "epoch": 0.82,
468
+ "learning_rate": 4.046310832025118e-05,
469
+ "loss": 3.9967,
470
+ "step": 770
471
+ },
472
+ {
473
+ "epoch": 0.83,
474
+ "learning_rate": 4.0266875981161696e-05,
475
+ "loss": 3.9373,
476
+ "step": 780
477
+ },
478
+ {
479
+ "epoch": 0.84,
480
+ "learning_rate": 4.007064364207222e-05,
481
+ "loss": 3.9479,
482
+ "step": 790
483
+ },
484
+ {
485
+ "epoch": 0.85,
486
+ "learning_rate": 3.987441130298273e-05,
487
+ "loss": 3.8503,
488
+ "step": 800
489
+ },
490
+ {
491
+ "epoch": 0.86,
492
+ "learning_rate": 3.9678178963893254e-05,
493
+ "loss": 3.9053,
494
+ "step": 810
495
+ },
496
+ {
497
+ "epoch": 0.87,
498
+ "learning_rate": 3.948194662480377e-05,
499
+ "loss": 3.8367,
500
+ "step": 820
501
+ },
502
+ {
503
+ "epoch": 0.88,
504
+ "learning_rate": 3.928571428571429e-05,
505
+ "loss": 3.8379,
506
+ "step": 830
507
+ },
508
+ {
509
+ "epoch": 0.89,
510
+ "learning_rate": 3.9089481946624805e-05,
511
+ "loss": 3.8315,
512
+ "step": 840
513
+ },
514
+ {
515
+ "epoch": 0.9,
516
+ "learning_rate": 3.8893249607535326e-05,
517
+ "loss": 3.8069,
518
+ "step": 850
519
+ },
520
+ {
521
+ "epoch": 0.91,
522
+ "learning_rate": 3.869701726844584e-05,
523
+ "loss": 3.7994,
524
+ "step": 860
525
+ },
526
+ {
527
+ "epoch": 0.92,
528
+ "learning_rate": 3.850078492935636e-05,
529
+ "loss": 3.7922,
530
+ "step": 870
531
+ },
532
+ {
533
+ "epoch": 0.93,
534
+ "learning_rate": 3.830455259026688e-05,
535
+ "loss": 3.7675,
536
+ "step": 880
537
+ },
538
+ {
539
+ "epoch": 0.94,
540
+ "learning_rate": 3.81083202511774e-05,
541
+ "loss": 3.7423,
542
+ "step": 890
543
+ },
544
+ {
545
+ "epoch": 0.95,
546
+ "learning_rate": 3.7912087912087914e-05,
547
+ "loss": 3.7161,
548
+ "step": 900
549
+ },
550
+ {
551
+ "epoch": 0.96,
552
+ "learning_rate": 3.7715855572998435e-05,
553
+ "loss": 3.716,
554
+ "step": 910
555
+ },
556
+ {
557
+ "epoch": 0.97,
558
+ "learning_rate": 3.751962323390895e-05,
559
+ "loss": 3.727,
560
+ "step": 920
561
+ },
562
+ {
563
+ "epoch": 0.99,
564
+ "learning_rate": 3.7323390894819465e-05,
565
+ "loss": 3.6528,
566
+ "step": 930
567
+ },
568
+ {
569
+ "epoch": 1.0,
570
+ "learning_rate": 3.7127158555729986e-05,
571
+ "loss": 3.6659,
572
+ "step": 940
573
+ },
574
+ {
575
+ "epoch": 1.0,
576
+ "eval_accuracy": 0.2606509757187547,
577
+ "eval_loss": 3.533505916595459,
578
+ "eval_runtime": 97.4862,
579
+ "eval_samples_per_second": 275.444,
580
+ "eval_steps_per_second": 4.308,
581
+ "step": 944
582
+ },
583
+ {
584
+ "epoch": 1.01,
585
+ "learning_rate": 3.693092621664051e-05,
586
+ "loss": 3.6428,
587
+ "step": 950
588
+ },
589
+ {
590
+ "epoch": 1.02,
591
+ "learning_rate": 3.673469387755102e-05,
592
+ "loss": 3.6448,
593
+ "step": 960
594
+ },
595
+ {
596
+ "epoch": 1.03,
597
+ "learning_rate": 3.653846153846154e-05,
598
+ "loss": 3.6328,
599
+ "step": 970
600
+ },
601
+ {
602
+ "epoch": 1.04,
603
+ "learning_rate": 3.634222919937206e-05,
604
+ "loss": 3.5496,
605
+ "step": 980
606
+ },
607
+ {
608
+ "epoch": 1.05,
609
+ "learning_rate": 3.614599686028258e-05,
610
+ "loss": 3.5896,
611
+ "step": 990
612
+ },
613
+ {
614
+ "epoch": 1.06,
615
+ "learning_rate": 3.5949764521193095e-05,
616
+ "loss": 3.6441,
617
+ "step": 1000
618
+ },
619
+ {
620
+ "epoch": 1.07,
621
+ "learning_rate": 3.575353218210361e-05,
622
+ "loss": 3.539,
623
+ "step": 1010
624
+ },
625
+ {
626
+ "epoch": 1.08,
627
+ "learning_rate": 3.555729984301413e-05,
628
+ "loss": 3.5687,
629
+ "step": 1020
630
+ },
631
+ {
632
+ "epoch": 1.09,
633
+ "learning_rate": 3.536106750392465e-05,
634
+ "loss": 3.5421,
635
+ "step": 1030
636
+ },
637
+ {
638
+ "epoch": 1.1,
639
+ "learning_rate": 3.516483516483517e-05,
640
+ "loss": 3.4795,
641
+ "step": 1040
642
+ },
643
+ {
644
+ "epoch": 1.11,
645
+ "learning_rate": 3.496860282574568e-05,
646
+ "loss": 3.5074,
647
+ "step": 1050
648
+ },
649
+ {
650
+ "epoch": 1.12,
651
+ "learning_rate": 3.4772370486656204e-05,
652
+ "loss": 3.5137,
653
+ "step": 1060
654
+ },
655
+ {
656
+ "epoch": 1.13,
657
+ "learning_rate": 3.4576138147566726e-05,
658
+ "loss": 3.5203,
659
+ "step": 1070
660
+ },
661
+ {
662
+ "epoch": 1.14,
663
+ "learning_rate": 3.4379905808477234e-05,
664
+ "loss": 3.4245,
665
+ "step": 1080
666
+ },
667
+ {
668
+ "epoch": 1.15,
669
+ "learning_rate": 3.4183673469387755e-05,
670
+ "loss": 3.5115,
671
+ "step": 1090
672
+ },
673
+ {
674
+ "epoch": 1.17,
675
+ "learning_rate": 3.398744113029828e-05,
676
+ "loss": 3.4804,
677
+ "step": 1100
678
+ },
679
+ {
680
+ "epoch": 1.18,
681
+ "learning_rate": 3.37912087912088e-05,
682
+ "loss": 3.4304,
683
+ "step": 1110
684
+ },
685
+ {
686
+ "epoch": 1.19,
687
+ "learning_rate": 3.3594976452119306e-05,
688
+ "loss": 3.4354,
689
+ "step": 1120
690
+ },
691
+ {
692
+ "epoch": 1.2,
693
+ "learning_rate": 3.339874411302983e-05,
694
+ "loss": 3.3765,
695
+ "step": 1130
696
+ },
697
+ {
698
+ "epoch": 1.21,
699
+ "learning_rate": 3.320251177394035e-05,
700
+ "loss": 3.4077,
701
+ "step": 1140
702
+ },
703
+ {
704
+ "epoch": 1.22,
705
+ "learning_rate": 3.300627943485087e-05,
706
+ "loss": 3.4707,
707
+ "step": 1150
708
+ },
709
+ {
710
+ "epoch": 1.23,
711
+ "learning_rate": 3.281004709576138e-05,
712
+ "loss": 3.3938,
713
+ "step": 1160
714
+ },
715
+ {
716
+ "epoch": 1.24,
717
+ "learning_rate": 3.26138147566719e-05,
718
+ "loss": 3.3528,
719
+ "step": 1170
720
+ },
721
+ {
722
+ "epoch": 1.25,
723
+ "learning_rate": 3.241758241758242e-05,
724
+ "loss": 3.3962,
725
+ "step": 1180
726
+ },
727
+ {
728
+ "epoch": 1.26,
729
+ "learning_rate": 3.222135007849294e-05,
730
+ "loss": 3.3941,
731
+ "step": 1190
732
+ },
733
+ {
734
+ "epoch": 1.27,
735
+ "learning_rate": 3.202511773940345e-05,
736
+ "loss": 3.4488,
737
+ "step": 1200
738
+ },
739
+ {
740
+ "epoch": 1.28,
741
+ "learning_rate": 3.182888540031397e-05,
742
+ "loss": 3.3212,
743
+ "step": 1210
744
+ },
745
+ {
746
+ "epoch": 1.29,
747
+ "learning_rate": 3.1632653061224494e-05,
748
+ "loss": 3.3005,
749
+ "step": 1220
750
+ },
751
+ {
752
+ "epoch": 1.3,
753
+ "learning_rate": 3.143642072213501e-05,
754
+ "loss": 3.3064,
755
+ "step": 1230
756
+ },
757
+ {
758
+ "epoch": 1.31,
759
+ "learning_rate": 3.1240188383045524e-05,
760
+ "loss": 3.3063,
761
+ "step": 1240
762
+ },
763
+ {
764
+ "epoch": 1.32,
765
+ "learning_rate": 3.1043956043956046e-05,
766
+ "loss": 3.2612,
767
+ "step": 1250
768
+ },
769
+ {
770
+ "epoch": 1.33,
771
+ "learning_rate": 3.084772370486657e-05,
772
+ "loss": 3.2411,
773
+ "step": 1260
774
+ },
775
+ {
776
+ "epoch": 1.35,
777
+ "learning_rate": 3.065149136577708e-05,
778
+ "loss": 3.309,
779
+ "step": 1270
780
+ },
781
+ {
782
+ "epoch": 1.36,
783
+ "learning_rate": 3.04552590266876e-05,
784
+ "loss": 3.2564,
785
+ "step": 1280
786
+ },
787
+ {
788
+ "epoch": 1.37,
789
+ "learning_rate": 3.0259026687598118e-05,
790
+ "loss": 3.2723,
791
+ "step": 1290
792
+ },
793
+ {
794
+ "epoch": 1.38,
795
+ "learning_rate": 3.006279434850864e-05,
796
+ "loss": 3.3098,
797
+ "step": 1300
798
+ },
799
+ {
800
+ "epoch": 1.39,
801
+ "learning_rate": 2.986656200941915e-05,
802
+ "loss": 3.2508,
803
+ "step": 1310
804
+ },
805
+ {
806
+ "epoch": 1.4,
807
+ "learning_rate": 2.9670329670329673e-05,
808
+ "loss": 3.1985,
809
+ "step": 1320
810
+ },
811
+ {
812
+ "epoch": 1.41,
813
+ "learning_rate": 2.947409733124019e-05,
814
+ "loss": 3.2328,
815
+ "step": 1330
816
+ },
817
+ {
818
+ "epoch": 1.42,
819
+ "learning_rate": 2.9277864992150706e-05,
820
+ "loss": 3.1489,
821
+ "step": 1340
822
+ },
823
+ {
824
+ "epoch": 1.43,
825
+ "learning_rate": 2.9081632653061224e-05,
826
+ "loss": 3.1567,
827
+ "step": 1350
828
+ },
829
+ {
830
+ "epoch": 1.44,
831
+ "learning_rate": 2.8885400313971745e-05,
832
+ "loss": 3.1081,
833
+ "step": 1360
834
+ },
835
+ {
836
+ "epoch": 1.45,
837
+ "learning_rate": 2.8689167974882263e-05,
838
+ "loss": 3.142,
839
+ "step": 1370
840
+ },
841
+ {
842
+ "epoch": 1.46,
843
+ "learning_rate": 2.8492935635792778e-05,
844
+ "loss": 3.1408,
845
+ "step": 1380
846
+ },
847
+ {
848
+ "epoch": 1.47,
849
+ "learning_rate": 2.8296703296703296e-05,
850
+ "loss": 3.1543,
851
+ "step": 1390
852
+ },
853
+ {
854
+ "epoch": 1.48,
855
+ "learning_rate": 2.8100470957613818e-05,
856
+ "loss": 3.1944,
857
+ "step": 1400
858
+ },
859
+ {
860
+ "epoch": 1.49,
861
+ "learning_rate": 2.7904238618524336e-05,
862
+ "loss": 3.1483,
863
+ "step": 1410
864
+ },
865
+ {
866
+ "epoch": 1.5,
867
+ "learning_rate": 2.770800627943485e-05,
868
+ "loss": 3.1497,
869
+ "step": 1420
870
+ },
871
+ {
872
+ "epoch": 1.51,
873
+ "learning_rate": 2.751177394034537e-05,
874
+ "loss": 3.1025,
875
+ "step": 1430
876
+ },
877
+ {
878
+ "epoch": 1.53,
879
+ "learning_rate": 2.731554160125589e-05,
880
+ "loss": 3.0822,
881
+ "step": 1440
882
+ },
883
+ {
884
+ "epoch": 1.54,
885
+ "learning_rate": 2.7119309262166405e-05,
886
+ "loss": 3.1437,
887
+ "step": 1450
888
+ },
889
+ {
890
+ "epoch": 1.55,
891
+ "learning_rate": 2.6923076923076923e-05,
892
+ "loss": 3.0663,
893
+ "step": 1460
894
+ },
895
+ {
896
+ "epoch": 1.56,
897
+ "learning_rate": 2.672684458398744e-05,
898
+ "loss": 3.1177,
899
+ "step": 1470
900
+ },
901
+ {
902
+ "epoch": 1.57,
903
+ "learning_rate": 2.6530612244897963e-05,
904
+ "loss": 3.0665,
905
+ "step": 1480
906
+ },
907
+ {
908
+ "epoch": 1.58,
909
+ "learning_rate": 2.6334379905808478e-05,
910
+ "loss": 3.091,
911
+ "step": 1490
912
+ },
913
+ {
914
+ "epoch": 1.59,
915
+ "learning_rate": 2.6138147566718996e-05,
916
+ "loss": 3.0334,
917
+ "step": 1500
918
+ },
919
+ {
920
+ "epoch": 1.6,
921
+ "learning_rate": 2.5941915227629514e-05,
922
+ "loss": 3.0471,
923
+ "step": 1510
924
+ },
925
+ {
926
+ "epoch": 1.61,
927
+ "learning_rate": 2.5745682888540036e-05,
928
+ "loss": 3.0843,
929
+ "step": 1520
930
+ },
931
+ {
932
+ "epoch": 1.62,
933
+ "learning_rate": 2.554945054945055e-05,
934
+ "loss": 3.0209,
935
+ "step": 1530
936
+ },
937
+ {
938
+ "epoch": 1.63,
939
+ "learning_rate": 2.535321821036107e-05,
940
+ "loss": 3.0012,
941
+ "step": 1540
942
+ },
943
+ {
944
+ "epoch": 1.64,
945
+ "learning_rate": 2.5156985871271587e-05,
946
+ "loss": 3.046,
947
+ "step": 1550
948
+ },
949
+ {
950
+ "epoch": 1.65,
951
+ "learning_rate": 2.4960753532182105e-05,
952
+ "loss": 3.0183,
953
+ "step": 1560
954
+ },
955
+ {
956
+ "epoch": 1.66,
957
+ "learning_rate": 2.4764521193092623e-05,
958
+ "loss": 3.0526,
959
+ "step": 1570
960
+ },
961
+ {
962
+ "epoch": 1.67,
963
+ "learning_rate": 2.456828885400314e-05,
964
+ "loss": 3.0337,
965
+ "step": 1580
966
+ },
967
+ {
968
+ "epoch": 1.68,
969
+ "learning_rate": 2.437205651491366e-05,
970
+ "loss": 3.0085,
971
+ "step": 1590
972
+ },
973
+ {
974
+ "epoch": 1.69,
975
+ "learning_rate": 2.4175824175824177e-05,
976
+ "loss": 2.9889,
977
+ "step": 1600
978
+ },
979
+ {
980
+ "epoch": 1.71,
981
+ "learning_rate": 2.3979591836734696e-05,
982
+ "loss": 3.0547,
983
+ "step": 1610
984
+ },
985
+ {
986
+ "epoch": 1.72,
987
+ "learning_rate": 2.3783359497645214e-05,
988
+ "loss": 2.9625,
989
+ "step": 1620
990
+ },
991
+ {
992
+ "epoch": 1.73,
993
+ "learning_rate": 2.3587127158555732e-05,
994
+ "loss": 2.9162,
995
+ "step": 1630
996
+ },
997
+ {
998
+ "epoch": 1.74,
999
+ "learning_rate": 2.339089481946625e-05,
1000
+ "loss": 2.995,
1001
+ "step": 1640
1002
+ },
1003
+ {
1004
+ "epoch": 1.75,
1005
+ "learning_rate": 2.3194662480376765e-05,
1006
+ "loss": 2.9096,
1007
+ "step": 1650
1008
+ },
1009
+ {
1010
+ "epoch": 1.76,
1011
+ "learning_rate": 2.2998430141287286e-05,
1012
+ "loss": 2.9733,
1013
+ "step": 1660
1014
+ },
1015
+ {
1016
+ "epoch": 1.77,
1017
+ "learning_rate": 2.28021978021978e-05,
1018
+ "loss": 2.9812,
1019
+ "step": 1670
1020
+ },
1021
+ {
1022
+ "epoch": 1.78,
1023
+ "learning_rate": 2.2605965463108323e-05,
1024
+ "loss": 2.9212,
1025
+ "step": 1680
1026
+ },
1027
+ {
1028
+ "epoch": 1.79,
1029
+ "learning_rate": 2.2409733124018837e-05,
1030
+ "loss": 2.9416,
1031
+ "step": 1690
1032
+ },
1033
+ {
1034
+ "epoch": 1.8,
1035
+ "learning_rate": 2.221350078492936e-05,
1036
+ "loss": 2.9251,
1037
+ "step": 1700
1038
+ },
1039
+ {
1040
+ "epoch": 1.81,
1041
+ "learning_rate": 2.2017268445839874e-05,
1042
+ "loss": 2.8985,
1043
+ "step": 1710
1044
+ },
1045
+ {
1046
+ "epoch": 1.82,
1047
+ "learning_rate": 2.1821036106750395e-05,
1048
+ "loss": 2.9358,
1049
+ "step": 1720
1050
+ },
1051
+ {
1052
+ "epoch": 1.83,
1053
+ "learning_rate": 2.162480376766091e-05,
1054
+ "loss": 2.9233,
1055
+ "step": 1730
1056
+ },
1057
+ {
1058
+ "epoch": 1.84,
1059
+ "learning_rate": 2.1428571428571428e-05,
1060
+ "loss": 2.893,
1061
+ "step": 1740
1062
+ },
1063
+ {
1064
+ "epoch": 1.85,
1065
+ "learning_rate": 2.1232339089481946e-05,
1066
+ "loss": 2.899,
1067
+ "step": 1750
1068
+ },
1069
+ {
1070
+ "epoch": 1.86,
1071
+ "learning_rate": 2.1036106750392464e-05,
1072
+ "loss": 2.8488,
1073
+ "step": 1760
1074
+ },
1075
+ {
1076
+ "epoch": 1.88,
1077
+ "learning_rate": 2.0839874411302983e-05,
1078
+ "loss": 2.868,
1079
+ "step": 1770
1080
+ },
1081
+ {
1082
+ "epoch": 1.89,
1083
+ "learning_rate": 2.06436420722135e-05,
1084
+ "loss": 2.8552,
1085
+ "step": 1780
1086
+ },
1087
+ {
1088
+ "epoch": 1.9,
1089
+ "learning_rate": 2.044740973312402e-05,
1090
+ "loss": 2.9662,
1091
+ "step": 1790
1092
+ },
1093
+ {
1094
+ "epoch": 1.91,
1095
+ "learning_rate": 2.0251177394034537e-05,
1096
+ "loss": 2.9119,
1097
+ "step": 1800
1098
+ },
1099
+ {
1100
+ "epoch": 1.92,
1101
+ "learning_rate": 2.0054945054945055e-05,
1102
+ "loss": 2.8802,
1103
+ "step": 1810
1104
+ },
1105
+ {
1106
+ "epoch": 1.93,
1107
+ "learning_rate": 1.9858712715855573e-05,
1108
+ "loss": 2.8677,
1109
+ "step": 1820
1110
+ },
1111
+ {
1112
+ "epoch": 1.94,
1113
+ "learning_rate": 1.966248037676609e-05,
1114
+ "loss": 2.8699,
1115
+ "step": 1830
1116
+ },
1117
+ {
1118
+ "epoch": 1.95,
1119
+ "learning_rate": 1.946624803767661e-05,
1120
+ "loss": 2.8098,
1121
+ "step": 1840
1122
+ },
1123
+ {
1124
+ "epoch": 1.96,
1125
+ "learning_rate": 1.9270015698587128e-05,
1126
+ "loss": 2.8563,
1127
+ "step": 1850
1128
+ },
1129
+ {
1130
+ "epoch": 1.97,
1131
+ "learning_rate": 1.9073783359497646e-05,
1132
+ "loss": 2.7886,
1133
+ "step": 1860
1134
+ },
1135
+ {
1136
+ "epoch": 1.98,
1137
+ "learning_rate": 1.8877551020408164e-05,
1138
+ "loss": 2.8598,
1139
+ "step": 1870
1140
+ },
1141
+ {
1142
+ "epoch": 1.99,
1143
+ "learning_rate": 1.8681318681318682e-05,
1144
+ "loss": 2.8174,
1145
+ "step": 1880
1146
+ },
1147
+ {
1148
+ "epoch": 2.0,
1149
+ "eval_accuracy": 0.4418292864591092,
1150
+ "eval_loss": 2.6391382217407227,
1151
+ "eval_runtime": 97.3952,
1152
+ "eval_samples_per_second": 275.702,
1153
+ "eval_steps_per_second": 4.312,
1154
+ "step": 1888
1155
+ },
1156
+ {
1157
+ "epoch": 2.0,
1158
+ "learning_rate": 1.84850863422292e-05,
1159
+ "loss": 2.7918,
1160
+ "step": 1890
1161
+ },
1162
+ {
1163
+ "epoch": 2.01,
1164
+ "learning_rate": 1.828885400313972e-05,
1165
+ "loss": 2.7957,
1166
+ "step": 1900
1167
+ },
1168
+ {
1169
+ "epoch": 2.02,
1170
+ "learning_rate": 1.8092621664050237e-05,
1171
+ "loss": 2.7601,
1172
+ "step": 1910
1173
+ },
1174
+ {
1175
+ "epoch": 2.03,
1176
+ "learning_rate": 1.7896389324960755e-05,
1177
+ "loss": 2.7688,
1178
+ "step": 1920
1179
+ },
1180
+ {
1181
+ "epoch": 2.04,
1182
+ "learning_rate": 1.7700156985871273e-05,
1183
+ "loss": 2.7594,
1184
+ "step": 1930
1185
+ },
1186
+ {
1187
+ "epoch": 2.06,
1188
+ "learning_rate": 1.750392464678179e-05,
1189
+ "loss": 2.7886,
1190
+ "step": 1940
1191
+ },
1192
+ {
1193
+ "epoch": 2.07,
1194
+ "learning_rate": 1.730769230769231e-05,
1195
+ "loss": 2.735,
1196
+ "step": 1950
1197
+ },
1198
+ {
1199
+ "epoch": 2.08,
1200
+ "learning_rate": 1.7111459968602827e-05,
1201
+ "loss": 2.7681,
1202
+ "step": 1960
1203
+ },
1204
+ {
1205
+ "epoch": 2.09,
1206
+ "learning_rate": 1.6915227629513346e-05,
1207
+ "loss": 2.7326,
1208
+ "step": 1970
1209
+ },
1210
+ {
1211
+ "epoch": 2.1,
1212
+ "learning_rate": 1.6718995290423864e-05,
1213
+ "loss": 2.7596,
1214
+ "step": 1980
1215
+ },
1216
+ {
1217
+ "epoch": 2.11,
1218
+ "learning_rate": 1.6522762951334382e-05,
1219
+ "loss": 2.7674,
1220
+ "step": 1990
1221
+ },
1222
+ {
1223
+ "epoch": 2.12,
1224
+ "learning_rate": 1.6326530612244897e-05,
1225
+ "loss": 2.7678,
1226
+ "step": 2000
1227
+ },
1228
+ {
1229
+ "epoch": 2.13,
1230
+ "learning_rate": 1.6130298273155418e-05,
1231
+ "loss": 2.7441,
1232
+ "step": 2010
1233
+ },
1234
+ {
1235
+ "epoch": 2.14,
1236
+ "learning_rate": 1.5934065934065933e-05,
1237
+ "loss": 2.7109,
1238
+ "step": 2020
1239
+ },
1240
+ {
1241
+ "epoch": 2.15,
1242
+ "learning_rate": 1.5737833594976455e-05,
1243
+ "loss": 2.6763,
1244
+ "step": 2030
1245
+ },
1246
+ {
1247
+ "epoch": 2.16,
1248
+ "learning_rate": 1.554160125588697e-05,
1249
+ "loss": 2.6663,
1250
+ "step": 2040
1251
+ },
1252
+ {
1253
+ "epoch": 2.17,
1254
+ "learning_rate": 1.534536891679749e-05,
1255
+ "loss": 2.7026,
1256
+ "step": 2050
1257
+ },
1258
+ {
1259
+ "epoch": 2.18,
1260
+ "learning_rate": 1.5149136577708006e-05,
1261
+ "loss": 2.691,
1262
+ "step": 2060
1263
+ },
1264
+ {
1265
+ "epoch": 2.19,
1266
+ "learning_rate": 1.4952904238618525e-05,
1267
+ "loss": 2.7213,
1268
+ "step": 2070
1269
+ },
1270
+ {
1271
+ "epoch": 2.2,
1272
+ "learning_rate": 1.4756671899529042e-05,
1273
+ "loss": 2.7104,
1274
+ "step": 2080
1275
+ },
1276
+ {
1277
+ "epoch": 2.21,
1278
+ "learning_rate": 1.4560439560439562e-05,
1279
+ "loss": 2.7264,
1280
+ "step": 2090
1281
+ },
1282
+ {
1283
+ "epoch": 2.22,
1284
+ "learning_rate": 1.4364207221350078e-05,
1285
+ "loss": 2.6866,
1286
+ "step": 2100
1287
+ },
1288
+ {
1289
+ "epoch": 2.24,
1290
+ "learning_rate": 1.4167974882260598e-05,
1291
+ "loss": 2.7339,
1292
+ "step": 2110
1293
+ },
1294
+ {
1295
+ "epoch": 2.25,
1296
+ "learning_rate": 1.3971742543171114e-05,
1297
+ "loss": 2.7038,
1298
+ "step": 2120
1299
+ },
1300
+ {
1301
+ "epoch": 2.26,
1302
+ "learning_rate": 1.3775510204081633e-05,
1303
+ "loss": 2.7007,
1304
+ "step": 2130
1305
+ },
1306
+ {
1307
+ "epoch": 2.27,
1308
+ "learning_rate": 1.357927786499215e-05,
1309
+ "loss": 2.6325,
1310
+ "step": 2140
1311
+ },
1312
+ {
1313
+ "epoch": 2.28,
1314
+ "learning_rate": 1.3383045525902669e-05,
1315
+ "loss": 2.6068,
1316
+ "step": 2150
1317
+ },
1318
+ {
1319
+ "epoch": 2.29,
1320
+ "learning_rate": 1.3186813186813187e-05,
1321
+ "loss": 2.63,
1322
+ "step": 2160
1323
+ },
1324
+ {
1325
+ "epoch": 2.3,
1326
+ "learning_rate": 1.2990580847723705e-05,
1327
+ "loss": 2.6954,
1328
+ "step": 2170
1329
+ },
1330
+ {
1331
+ "epoch": 2.31,
1332
+ "learning_rate": 1.2794348508634223e-05,
1333
+ "loss": 2.6464,
1334
+ "step": 2180
1335
+ },
1336
+ {
1337
+ "epoch": 2.32,
1338
+ "learning_rate": 1.2598116169544742e-05,
1339
+ "loss": 2.6512,
1340
+ "step": 2190
1341
+ },
1342
+ {
1343
+ "epoch": 2.33,
1344
+ "learning_rate": 1.240188383045526e-05,
1345
+ "loss": 2.6591,
1346
+ "step": 2200
1347
+ },
1348
+ {
1349
+ "epoch": 2.34,
1350
+ "learning_rate": 1.2205651491365778e-05,
1351
+ "loss": 2.6929,
1352
+ "step": 2210
1353
+ },
1354
+ {
1355
+ "epoch": 2.35,
1356
+ "learning_rate": 1.2009419152276296e-05,
1357
+ "loss": 2.6971,
1358
+ "step": 2220
1359
+ },
1360
+ {
1361
+ "epoch": 2.36,
1362
+ "learning_rate": 1.1813186813186814e-05,
1363
+ "loss": 2.653,
1364
+ "step": 2230
1365
+ },
1366
+ {
1367
+ "epoch": 2.37,
1368
+ "learning_rate": 1.1616954474097332e-05,
1369
+ "loss": 2.6934,
1370
+ "step": 2240
1371
+ },
1372
+ {
1373
+ "epoch": 2.38,
1374
+ "learning_rate": 1.142072213500785e-05,
1375
+ "loss": 2.6721,
1376
+ "step": 2250
1377
+ },
1378
+ {
1379
+ "epoch": 2.39,
1380
+ "learning_rate": 1.1224489795918369e-05,
1381
+ "loss": 2.6251,
1382
+ "step": 2260
1383
+ },
1384
+ {
1385
+ "epoch": 2.4,
1386
+ "learning_rate": 1.1028257456828887e-05,
1387
+ "loss": 2.6544,
1388
+ "step": 2270
1389
+ },
1390
+ {
1391
+ "epoch": 2.42,
1392
+ "learning_rate": 1.0832025117739405e-05,
1393
+ "loss": 2.6079,
1394
+ "step": 2280
1395
+ },
1396
+ {
1397
+ "epoch": 2.43,
1398
+ "learning_rate": 1.0635792778649923e-05,
1399
+ "loss": 2.6739,
1400
+ "step": 2290
1401
+ },
1402
+ {
1403
+ "epoch": 2.44,
1404
+ "learning_rate": 1.0439560439560441e-05,
1405
+ "loss": 2.6701,
1406
+ "step": 2300
1407
+ },
1408
+ {
1409
+ "epoch": 2.45,
1410
+ "learning_rate": 1.024332810047096e-05,
1411
+ "loss": 2.5559,
1412
+ "step": 2310
1413
+ },
1414
+ {
1415
+ "epoch": 2.46,
1416
+ "learning_rate": 1.0047095761381477e-05,
1417
+ "loss": 2.595,
1418
+ "step": 2320
1419
+ },
1420
+ {
1421
+ "epoch": 2.47,
1422
+ "learning_rate": 9.850863422291996e-06,
1423
+ "loss": 2.6354,
1424
+ "step": 2330
1425
+ },
1426
+ {
1427
+ "epoch": 2.48,
1428
+ "learning_rate": 9.654631083202512e-06,
1429
+ "loss": 2.5995,
1430
+ "step": 2340
1431
+ },
1432
+ {
1433
+ "epoch": 2.49,
1434
+ "learning_rate": 9.45839874411303e-06,
1435
+ "loss": 2.578,
1436
+ "step": 2350
1437
+ },
1438
+ {
1439
+ "epoch": 2.5,
1440
+ "learning_rate": 9.262166405023548e-06,
1441
+ "loss": 2.6291,
1442
+ "step": 2360
1443
+ },
1444
+ {
1445
+ "epoch": 2.51,
1446
+ "learning_rate": 9.065934065934067e-06,
1447
+ "loss": 2.6349,
1448
+ "step": 2370
1449
+ },
1450
+ {
1451
+ "epoch": 2.52,
1452
+ "learning_rate": 8.869701726844585e-06,
1453
+ "loss": 2.6519,
1454
+ "step": 2380
1455
+ },
1456
+ {
1457
+ "epoch": 2.53,
1458
+ "learning_rate": 8.673469387755103e-06,
1459
+ "loss": 2.6348,
1460
+ "step": 2390
1461
+ },
1462
+ {
1463
+ "epoch": 2.54,
1464
+ "learning_rate": 8.477237048665621e-06,
1465
+ "loss": 2.6099,
1466
+ "step": 2400
1467
+ },
1468
+ {
1469
+ "epoch": 2.55,
1470
+ "learning_rate": 8.281004709576139e-06,
1471
+ "loss": 2.5538,
1472
+ "step": 2410
1473
+ },
1474
+ {
1475
+ "epoch": 2.56,
1476
+ "learning_rate": 8.084772370486657e-06,
1477
+ "loss": 2.6195,
1478
+ "step": 2420
1479
+ },
1480
+ {
1481
+ "epoch": 2.57,
1482
+ "learning_rate": 7.888540031397175e-06,
1483
+ "loss": 2.6005,
1484
+ "step": 2430
1485
+ },
1486
+ {
1487
+ "epoch": 2.58,
1488
+ "learning_rate": 7.692307692307694e-06,
1489
+ "loss": 2.5735,
1490
+ "step": 2440
1491
+ },
1492
+ {
1493
+ "epoch": 2.6,
1494
+ "learning_rate": 7.496075353218211e-06,
1495
+ "loss": 2.607,
1496
+ "step": 2450
1497
+ },
1498
+ {
1499
+ "epoch": 2.61,
1500
+ "learning_rate": 7.299843014128729e-06,
1501
+ "loss": 2.644,
1502
+ "step": 2460
1503
+ },
1504
+ {
1505
+ "epoch": 2.62,
1506
+ "learning_rate": 7.103610675039246e-06,
1507
+ "loss": 2.5924,
1508
+ "step": 2470
1509
+ },
1510
+ {
1511
+ "epoch": 2.63,
1512
+ "learning_rate": 6.9073783359497645e-06,
1513
+ "loss": 2.5596,
1514
+ "step": 2480
1515
+ },
1516
+ {
1517
+ "epoch": 2.64,
1518
+ "learning_rate": 6.711145996860283e-06,
1519
+ "loss": 2.5408,
1520
+ "step": 2490
1521
+ },
1522
+ {
1523
+ "epoch": 2.65,
1524
+ "learning_rate": 6.514913657770801e-06,
1525
+ "loss": 2.6228,
1526
+ "step": 2500
1527
+ },
1528
+ {
1529
+ "epoch": 2.66,
1530
+ "learning_rate": 6.318681318681319e-06,
1531
+ "loss": 2.5923,
1532
+ "step": 2510
1533
+ },
1534
+ {
1535
+ "epoch": 2.67,
1536
+ "learning_rate": 6.122448979591837e-06,
1537
+ "loss": 2.5873,
1538
+ "step": 2520
1539
+ },
1540
+ {
1541
+ "epoch": 2.68,
1542
+ "learning_rate": 5.926216640502355e-06,
1543
+ "loss": 2.5732,
1544
+ "step": 2530
1545
+ },
1546
+ {
1547
+ "epoch": 2.69,
1548
+ "learning_rate": 5.729984301412873e-06,
1549
+ "loss": 2.6217,
1550
+ "step": 2540
1551
+ },
1552
+ {
1553
+ "epoch": 2.7,
1554
+ "learning_rate": 5.5337519623233915e-06,
1555
+ "loss": 2.5432,
1556
+ "step": 2550
1557
+ },
1558
+ {
1559
+ "epoch": 2.71,
1560
+ "learning_rate": 5.33751962323391e-06,
1561
+ "loss": 2.5638,
1562
+ "step": 2560
1563
+ },
1564
+ {
1565
+ "epoch": 2.72,
1566
+ "learning_rate": 5.141287284144427e-06,
1567
+ "loss": 2.5396,
1568
+ "step": 2570
1569
+ },
1570
+ {
1571
+ "epoch": 2.73,
1572
+ "learning_rate": 4.945054945054945e-06,
1573
+ "loss": 2.5384,
1574
+ "step": 2580
1575
+ },
1576
+ {
1577
+ "epoch": 2.74,
1578
+ "learning_rate": 4.748822605965463e-06,
1579
+ "loss": 2.6231,
1580
+ "step": 2590
1581
+ },
1582
+ {
1583
+ "epoch": 2.75,
1584
+ "learning_rate": 4.5525902668759815e-06,
1585
+ "loss": 2.6124,
1586
+ "step": 2600
1587
+ },
1588
+ {
1589
+ "epoch": 2.76,
1590
+ "learning_rate": 4.3563579277865e-06,
1591
+ "loss": 2.5478,
1592
+ "step": 2610
1593
+ },
1594
+ {
1595
+ "epoch": 2.78,
1596
+ "learning_rate": 4.160125588697018e-06,
1597
+ "loss": 2.6101,
1598
+ "step": 2620
1599
+ },
1600
+ {
1601
+ "epoch": 2.79,
1602
+ "learning_rate": 3.963893249607536e-06,
1603
+ "loss": 2.5558,
1604
+ "step": 2630
1605
+ },
1606
+ {
1607
+ "epoch": 2.8,
1608
+ "learning_rate": 3.767660910518053e-06,
1609
+ "loss": 2.5715,
1610
+ "step": 2640
1611
+ },
1612
+ {
1613
+ "epoch": 2.81,
1614
+ "learning_rate": 3.5714285714285714e-06,
1615
+ "loss": 2.5204,
1616
+ "step": 2650
1617
+ },
1618
+ {
1619
+ "epoch": 2.82,
1620
+ "learning_rate": 3.3751962323390895e-06,
1621
+ "loss": 2.6461,
1622
+ "step": 2660
1623
+ },
1624
+ {
1625
+ "epoch": 2.83,
1626
+ "learning_rate": 3.1789638932496077e-06,
1627
+ "loss": 2.6198,
1628
+ "step": 2670
1629
+ },
1630
+ {
1631
+ "epoch": 2.84,
1632
+ "learning_rate": 2.982731554160126e-06,
1633
+ "loss": 2.6099,
1634
+ "step": 2680
1635
+ },
1636
+ {
1637
+ "epoch": 2.85,
1638
+ "learning_rate": 2.7864992150706435e-06,
1639
+ "loss": 2.5261,
1640
+ "step": 2690
1641
+ },
1642
+ {
1643
+ "epoch": 2.86,
1644
+ "learning_rate": 2.5902668759811617e-06,
1645
+ "loss": 2.5378,
1646
+ "step": 2700
1647
+ },
1648
+ {
1649
+ "epoch": 2.87,
1650
+ "learning_rate": 2.39403453689168e-06,
1651
+ "loss": 2.4815,
1652
+ "step": 2710
1653
+ },
1654
+ {
1655
+ "epoch": 2.88,
1656
+ "learning_rate": 2.197802197802198e-06,
1657
+ "loss": 2.5685,
1658
+ "step": 2720
1659
+ },
1660
+ {
1661
+ "epoch": 2.89,
1662
+ "learning_rate": 2.0015698587127157e-06,
1663
+ "loss": 2.5881,
1664
+ "step": 2730
1665
+ },
1666
+ {
1667
+ "epoch": 2.9,
1668
+ "learning_rate": 1.805337519623234e-06,
1669
+ "loss": 2.5615,
1670
+ "step": 2740
1671
+ },
1672
+ {
1673
+ "epoch": 2.91,
1674
+ "learning_rate": 1.6091051805337522e-06,
1675
+ "loss": 2.5608,
1676
+ "step": 2750
1677
+ },
1678
+ {
1679
+ "epoch": 2.92,
1680
+ "learning_rate": 1.4128728414442702e-06,
1681
+ "loss": 2.5123,
1682
+ "step": 2760
1683
+ },
1684
+ {
1685
+ "epoch": 2.93,
1686
+ "learning_rate": 1.216640502354788e-06,
1687
+ "loss": 2.5326,
1688
+ "step": 2770
1689
+ },
1690
+ {
1691
+ "epoch": 2.94,
1692
+ "learning_rate": 1.020408163265306e-06,
1693
+ "loss": 2.6042,
1694
+ "step": 2780
1695
+ },
1696
+ {
1697
+ "epoch": 2.96,
1698
+ "learning_rate": 8.241758241758242e-07,
1699
+ "loss": 2.6328,
1700
+ "step": 2790
1701
+ },
1702
+ {
1703
+ "epoch": 2.97,
1704
+ "learning_rate": 6.279434850863423e-07,
1705
+ "loss": 2.5443,
1706
+ "step": 2800
1707
+ },
1708
+ {
1709
+ "epoch": 2.98,
1710
+ "learning_rate": 4.317111459968603e-07,
1711
+ "loss": 2.5534,
1712
+ "step": 2810
1713
+ },
1714
+ {
1715
+ "epoch": 2.99,
1716
+ "learning_rate": 2.3547880690737833e-07,
1717
+ "loss": 2.5537,
1718
+ "step": 2820
1719
+ },
1720
+ {
1721
+ "epoch": 3.0,
1722
+ "learning_rate": 3.9246467817896396e-08,
1723
+ "loss": 2.4959,
1724
+ "step": 2830
1725
+ },
1726
+ {
1727
+ "epoch": 3.0,
1728
+ "eval_accuracy": 0.4911738417994935,
1729
+ "eval_loss": 2.389798164367676,
1730
+ "eval_runtime": 98.4092,
1731
+ "eval_samples_per_second": 272.861,
1732
+ "eval_steps_per_second": 4.268,
1733
+ "step": 2832
1734
+ },
1735
+ {
1736
+ "epoch": 3.0,
1737
+ "step": 2832,
1738
+ "total_flos": 1.84051547235869e+19,
1739
+ "train_loss": 3.4896271976373963,
1740
+ "train_runtime": 4580.4169,
1741
+ "train_samples_per_second": 158.281,
1742
+ "train_steps_per_second": 0.618
1743
+ },
1744
+ {
1745
+ "epoch": 3.0,
1746
+ "eval_accuracy": 0.4911738417994935,
1747
+ "eval_loss": 2.389798164367676,
1748
+ "eval_runtime": 100.4578,
1749
+ "eval_samples_per_second": 267.296,
1750
+ "eval_steps_per_second": 4.181,
1751
+ "step": 2832
1752
+ },
1753
+ {
1754
+ "epoch": 3.0,
1755
+ "eval_accuracy": 0.4911738417994935,
1756
+ "eval_loss": 2.389798164367676,
1757
+ "eval_runtime": 100.2695,
1758
+ "eval_samples_per_second": 267.798,
1759
+ "eval_steps_per_second": 4.189,
1760
+ "step": 2832
1761
+ }
1762
+ ],
1763
+ "max_steps": 2832,
1764
+ "num_train_epochs": 3,
1765
+ "total_flos": 1.84051547235869e+19,
1766
+ "trial_name": null,
1767
+ "trial_params": null
1768
+ }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:88d30fd5ff52b039c5894cc3b3095d5b4050f8dbf0ea662e256f6f6f6a6302ab
3
  size 3439
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a5a3944f1792a2c3f567b1aa3fea60376ffbe821dc209c3d6ea043030a6a3da
3
  size 3439
valid_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_accuracy": 0.4911738417994935,
4
+ "eval_loss": 2.389798164367676,
5
+ "eval_runtime": 100.4578,
6
+ "eval_samples_per_second": 267.296,
7
+ "eval_steps_per_second": 4.181
8
+ }