andrecastro commited on
Commit
11930bf
·
1 Parent(s): a1596e8

Training in progress, epoch 0

Browse files
all_results.json CHANGED
@@ -1,13 +1,8 @@
1
  {
2
- "epoch": 2.99,
3
- "eval_accuracy": 0.7149341806627326,
4
- "eval_loss": 1.1311845779418945,
5
- "eval_runtime": 48.1534,
6
- "eval_samples_per_second": 45.75,
7
- "eval_steps_per_second": 5.732,
8
- "total_flos": 3.815394309328896e+17,
9
- "train_loss": 0.09319638077480098,
10
- "train_runtime": 491.2433,
11
- "train_samples_per_second": 31.384,
12
- "train_steps_per_second": 0.977
13
  }
 
1
  {
2
+ "epoch": 3.0,
3
+ "total_flos": 7.802294942660198e+17,
4
+ "train_loss": 0.10781273749352231,
5
+ "train_runtime": 1166.1109,
6
+ "train_samples_per_second": 26.938,
7
+ "train_steps_per_second": 0.841
 
 
 
 
 
8
  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8f3ed039e4477057995bb8c1e4a54873602b864498036260c8c6cf1361dc177d
3
  size 110342832
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c7f790205c48bb82d02ed44bfc0fb21682e20a9d07c90850d7be3e2a48c9d352
3
  size 110342832
runs/Dec01_11-46-25_60219a931eda/events.out.tfevents.1701431186.60219a931eda.802.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d49a0f7dbabcad7dd6506c6d32d6f6ea0317102c985b5ac29ad36517be72368e
3
+ size 10011
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 2.99,
3
- "total_flos": 3.815394309328896e+17,
4
- "train_loss": 0.09319638077480098,
5
- "train_runtime": 491.2433,
6
- "train_samples_per_second": 31.384,
7
- "train_steps_per_second": 0.977
8
  }
 
1
  {
2
+ "epoch": 3.0,
3
+ "total_flos": 7.802294942660198e+17,
4
+ "train_loss": 0.10781273749352231,
5
+ "train_runtime": 1166.1109,
6
+ "train_samples_per_second": 26.938,
7
+ "train_steps_per_second": 0.841
8
  }
trainer_state.json CHANGED
@@ -1,343 +1,643 @@
1
  {
2
- "best_metric": 0.7149341806627326,
3
- "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-480",
4
- "epoch": 2.9860031104199067,
5
  "eval_steps": 500,
6
- "global_step": 480,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
- "epoch": 0.06,
13
- "learning_rate": 1.0416666666666668e-05,
14
- "loss": 0.6441,
15
  "step": 10
16
  },
17
  {
18
- "epoch": 0.12,
19
- "learning_rate": 2.0833333333333336e-05,
20
- "loss": 0.5084,
21
  "step": 20
22
  },
23
  {
24
- "epoch": 0.19,
25
- "learning_rate": 3.125e-05,
26
- "loss": 0.3659,
27
  "step": 30
28
  },
29
  {
30
- "epoch": 0.25,
31
- "learning_rate": 4.166666666666667e-05,
32
- "loss": 0.2162,
33
  "step": 40
34
  },
35
  {
36
- "epoch": 0.31,
37
- "learning_rate": 4.976851851851852e-05,
38
- "loss": 0.1387,
39
  "step": 50
40
  },
41
  {
42
- "epoch": 0.37,
43
- "learning_rate": 4.8611111111111115e-05,
44
- "loss": 0.1187,
45
  "step": 60
46
  },
47
  {
48
- "epoch": 0.44,
49
- "learning_rate": 4.745370370370371e-05,
50
- "loss": 0.1003,
51
  "step": 70
52
  },
53
  {
54
- "epoch": 0.5,
55
- "learning_rate": 4.62962962962963e-05,
56
- "loss": 0.104,
57
  "step": 80
58
  },
59
  {
60
- "epoch": 0.56,
61
- "learning_rate": 4.5138888888888894e-05,
62
- "loss": 0.1448,
63
  "step": 90
64
  },
65
  {
66
- "epoch": 0.62,
67
- "learning_rate": 4.3981481481481486e-05,
68
- "loss": 0.0851,
69
  "step": 100
70
  },
71
  {
72
- "epoch": 0.68,
73
- "learning_rate": 4.282407407407408e-05,
74
- "loss": 0.0664,
75
  "step": 110
76
  },
77
  {
78
- "epoch": 0.75,
79
- "learning_rate": 4.166666666666667e-05,
80
- "loss": 0.0775,
81
  "step": 120
82
  },
83
  {
84
- "epoch": 0.81,
85
- "learning_rate": 4.0509259259259265e-05,
86
- "loss": 0.0996,
87
  "step": 130
88
  },
89
  {
90
- "epoch": 0.87,
91
- "learning_rate": 3.935185185185186e-05,
92
- "loss": 0.0929,
93
  "step": 140
94
  },
95
  {
96
- "epoch": 0.93,
97
- "learning_rate": 3.8194444444444444e-05,
98
- "loss": 0.0983,
99
  "step": 150
100
  },
101
  {
102
- "epoch": 1.0,
103
- "learning_rate": 3.7037037037037037e-05,
104
- "loss": 0.1091,
105
- "step": 160
106
- },
107
- {
108
- "epoch": 1.0,
109
- "eval_accuracy": 0.634135270086246,
110
- "eval_loss": 1.134523868560791,
111
- "eval_runtime": 48.9231,
112
- "eval_samples_per_second": 45.03,
113
- "eval_steps_per_second": 5.642,
114
  "step": 160
115
  },
116
  {
117
- "epoch": 1.06,
118
- "learning_rate": 3.587962962962963e-05,
119
- "loss": 0.1446,
120
  "step": 170
121
  },
122
  {
123
- "epoch": 1.12,
124
- "learning_rate": 3.472222222222222e-05,
125
- "loss": 0.0648,
126
  "step": 180
127
  },
128
  {
129
- "epoch": 1.18,
130
- "learning_rate": 3.3564814814814815e-05,
131
- "loss": 0.0704,
132
  "step": 190
133
  },
134
  {
135
- "epoch": 1.24,
136
- "learning_rate": 3.240740740740741e-05,
137
- "loss": 0.1206,
138
  "step": 200
139
  },
140
  {
141
- "epoch": 1.31,
142
- "learning_rate": 3.125e-05,
143
- "loss": 0.0428,
144
  "step": 210
145
  },
146
  {
147
- "epoch": 1.37,
148
- "learning_rate": 3.0092592592592593e-05,
149
- "loss": 0.0271,
150
  "step": 220
151
  },
152
  {
153
- "epoch": 1.43,
154
- "learning_rate": 2.8935185185185186e-05,
155
- "loss": 0.0786,
156
  "step": 230
157
  },
158
  {
159
- "epoch": 1.49,
160
- "learning_rate": 2.777777777777778e-05,
161
- "loss": 0.0233,
162
  "step": 240
163
  },
164
  {
165
- "epoch": 1.56,
166
- "learning_rate": 2.6620370370370372e-05,
167
- "loss": 0.01,
168
  "step": 250
169
  },
170
  {
171
- "epoch": 1.62,
172
- "learning_rate": 2.5462962962962965e-05,
173
- "loss": 0.0297,
174
  "step": 260
175
  },
176
  {
177
- "epoch": 1.68,
178
- "learning_rate": 2.4305555555555558e-05,
179
- "loss": 0.0598,
180
  "step": 270
181
  },
182
  {
183
- "epoch": 1.74,
184
- "learning_rate": 2.314814814814815e-05,
185
- "loss": 0.0714,
186
  "step": 280
187
  },
188
  {
189
- "epoch": 1.8,
190
- "learning_rate": 2.1990740740740743e-05,
191
- "loss": 0.1358,
192
  "step": 290
193
  },
194
  {
195
- "epoch": 1.87,
196
- "learning_rate": 2.0833333333333336e-05,
197
- "loss": 0.0164,
198
  "step": 300
199
  },
200
  {
201
- "epoch": 1.93,
202
- "learning_rate": 1.967592592592593e-05,
203
- "loss": 0.0072,
204
  "step": 310
205
  },
206
  {
207
- "epoch": 1.99,
208
- "learning_rate": 1.8518518518518518e-05,
209
- "loss": 0.0426,
210
  "step": 320
211
  },
212
  {
213
- "epoch": 2.0,
214
- "eval_accuracy": 0.6627326373127553,
215
- "eval_loss": 1.377668857574463,
216
- "eval_runtime": 47.5961,
217
- "eval_samples_per_second": 46.285,
218
- "eval_steps_per_second": 5.799,
219
- "step": 321
220
  },
221
  {
222
- "epoch": 2.05,
223
- "learning_rate": 1.736111111111111e-05,
224
- "loss": 0.0439,
225
  "step": 330
226
  },
227
  {
228
- "epoch": 2.12,
229
- "learning_rate": 1.6203703703703704e-05,
230
- "loss": 0.0253,
231
  "step": 340
232
  },
233
  {
234
- "epoch": 2.18,
235
- "learning_rate": 1.5046296296296297e-05,
236
- "loss": 0.0197,
237
  "step": 350
238
  },
239
  {
240
- "epoch": 2.24,
241
- "learning_rate": 1.388888888888889e-05,
242
- "loss": 0.0112,
243
  "step": 360
244
  },
245
  {
246
- "epoch": 2.3,
247
- "learning_rate": 1.2731481481481482e-05,
248
- "loss": 0.0445,
249
  "step": 370
250
  },
251
  {
252
- "epoch": 2.36,
253
- "learning_rate": 1.1574074074074075e-05,
254
- "loss": 0.0338,
255
  "step": 380
256
  },
257
  {
258
- "epoch": 2.43,
259
- "learning_rate": 1.0416666666666668e-05,
260
- "loss": 0.0344,
261
  "step": 390
262
  },
263
  {
264
- "epoch": 2.49,
265
- "learning_rate": 9.259259259259259e-06,
266
- "loss": 0.0226,
267
  "step": 400
268
  },
269
  {
270
- "epoch": 2.55,
271
- "learning_rate": 8.101851851851852e-06,
272
- "loss": 0.0748,
273
  "step": 410
274
  },
275
  {
276
- "epoch": 2.61,
277
- "learning_rate": 6.944444444444445e-06,
278
- "loss": 0.0099,
279
  "step": 420
280
  },
281
  {
282
- "epoch": 2.67,
283
- "learning_rate": 5.787037037037038e-06,
284
- "loss": 0.0558,
285
  "step": 430
286
  },
287
  {
288
- "epoch": 2.74,
289
- "learning_rate": 4.6296296296296296e-06,
290
- "loss": 0.0243,
291
  "step": 440
292
  },
293
  {
294
- "epoch": 2.8,
295
- "learning_rate": 3.4722222222222224e-06,
296
- "loss": 0.0239,
297
  "step": 450
298
  },
299
  {
300
- "epoch": 2.86,
301
- "learning_rate": 2.3148148148148148e-06,
302
- "loss": 0.0645,
303
  "step": 460
304
  },
305
  {
306
- "epoch": 2.92,
307
- "learning_rate": 1.1574074074074074e-06,
308
- "loss": 0.0547,
309
  "step": 470
310
  },
311
  {
312
- "epoch": 2.99,
313
- "learning_rate": 0.0,
314
- "loss": 0.0151,
315
  "step": 480
316
  },
317
  {
318
- "epoch": 2.99,
319
- "eval_accuracy": 0.7149341806627326,
320
- "eval_loss": 1.1311845779418945,
321
- "eval_runtime": 51.1784,
322
- "eval_samples_per_second": 43.045,
323
- "eval_steps_per_second": 5.393,
324
- "step": 480
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
325
  },
326
  {
327
  "epoch": 2.99,
328
- "step": 480,
329
- "total_flos": 3.815394309328896e+17,
330
- "train_loss": 0.09319638077480098,
331
- "train_runtime": 491.2433,
332
- "train_samples_per_second": 31.384,
333
- "train_steps_per_second": 0.977
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
334
  }
335
  ],
336
  "logging_steps": 10,
337
- "max_steps": 480,
338
  "num_train_epochs": 3,
339
  "save_steps": 500,
340
- "total_flos": 3.815394309328896e+17,
341
  "trial_name": null,
342
  "trial_params": null
343
  }
 
1
  {
2
+ "best_metric": 0.4977718360071301,
3
+ "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-981",
4
+ "epoch": 2.9977081741787623,
5
  "eval_steps": 500,
6
+ "global_step": 981,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
+ "epoch": 0.03,
13
+ "learning_rate": 5.050505050505051e-06,
14
+ "loss": 0.7223,
15
  "step": 10
16
  },
17
  {
18
+ "epoch": 0.06,
19
+ "learning_rate": 1.0101010101010101e-05,
20
+ "loss": 0.5894,
21
  "step": 20
22
  },
23
  {
24
+ "epoch": 0.09,
25
+ "learning_rate": 1.5151515151515153e-05,
26
+ "loss": 0.5223,
27
  "step": 30
28
  },
29
  {
30
+ "epoch": 0.12,
31
+ "learning_rate": 2.0202020202020203e-05,
32
+ "loss": 0.3961,
33
  "step": 40
34
  },
35
  {
36
+ "epoch": 0.15,
37
+ "learning_rate": 2.5252525252525256e-05,
38
+ "loss": 0.2271,
39
  "step": 50
40
  },
41
  {
42
+ "epoch": 0.18,
43
+ "learning_rate": 3.0303030303030306e-05,
44
+ "loss": 0.2569,
45
  "step": 60
46
  },
47
  {
48
+ "epoch": 0.21,
49
+ "learning_rate": 3.535353535353535e-05,
50
+ "loss": 0.2645,
51
  "step": 70
52
  },
53
  {
54
+ "epoch": 0.24,
55
+ "learning_rate": 4.0404040404040405e-05,
56
+ "loss": 0.2135,
57
  "step": 80
58
  },
59
  {
60
+ "epoch": 0.28,
61
+ "learning_rate": 4.545454545454546e-05,
62
+ "loss": 0.2693,
63
  "step": 90
64
  },
65
  {
66
+ "epoch": 0.31,
67
+ "learning_rate": 4.9943310657596374e-05,
68
+ "loss": 0.2309,
69
  "step": 100
70
  },
71
  {
72
+ "epoch": 0.34,
73
+ "learning_rate": 4.937641723356009e-05,
74
+ "loss": 0.2259,
75
  "step": 110
76
  },
77
  {
78
+ "epoch": 0.37,
79
+ "learning_rate": 4.880952380952381e-05,
80
+ "loss": 0.1783,
81
  "step": 120
82
  },
83
  {
84
+ "epoch": 0.4,
85
+ "learning_rate": 4.8242630385487533e-05,
86
+ "loss": 0.1395,
87
  "step": 130
88
  },
89
  {
90
+ "epoch": 0.43,
91
+ "learning_rate": 4.767573696145125e-05,
92
+ "loss": 0.1071,
93
  "step": 140
94
  },
95
  {
96
+ "epoch": 0.46,
97
+ "learning_rate": 4.710884353741497e-05,
98
+ "loss": 0.1412,
99
  "step": 150
100
  },
101
  {
102
+ "epoch": 0.49,
103
+ "learning_rate": 4.6541950113378686e-05,
104
+ "loss": 0.1191,
 
 
 
 
 
 
 
 
 
105
  "step": 160
106
  },
107
  {
108
+ "epoch": 0.52,
109
+ "learning_rate": 4.597505668934241e-05,
110
+ "loss": 0.1826,
111
  "step": 170
112
  },
113
  {
114
+ "epoch": 0.55,
115
+ "learning_rate": 4.5408163265306124e-05,
116
+ "loss": 0.0926,
117
  "step": 180
118
  },
119
  {
120
+ "epoch": 0.58,
121
+ "learning_rate": 4.4841269841269846e-05,
122
+ "loss": 0.1381,
123
  "step": 190
124
  },
125
  {
126
+ "epoch": 0.61,
127
+ "learning_rate": 4.427437641723356e-05,
128
+ "loss": 0.1393,
129
  "step": 200
130
  },
131
  {
132
+ "epoch": 0.64,
133
+ "learning_rate": 4.3707482993197277e-05,
134
+ "loss": 0.09,
135
  "step": 210
136
  },
137
  {
138
+ "epoch": 0.67,
139
+ "learning_rate": 4.3140589569161e-05,
140
+ "loss": 0.094,
141
  "step": 220
142
  },
143
  {
144
+ "epoch": 0.7,
145
+ "learning_rate": 4.257369614512472e-05,
146
+ "loss": 0.0559,
147
  "step": 230
148
  },
149
  {
150
+ "epoch": 0.73,
151
+ "learning_rate": 4.200680272108844e-05,
152
+ "loss": 0.0824,
153
  "step": 240
154
  },
155
  {
156
+ "epoch": 0.76,
157
+ "learning_rate": 4.143990929705215e-05,
158
+ "loss": 0.1044,
159
  "step": 250
160
  },
161
  {
162
+ "epoch": 0.79,
163
+ "learning_rate": 4.0873015873015874e-05,
164
+ "loss": 0.131,
165
  "step": 260
166
  },
167
  {
168
+ "epoch": 0.83,
169
+ "learning_rate": 4.0306122448979596e-05,
170
+ "loss": 0.1231,
171
  "step": 270
172
  },
173
  {
174
+ "epoch": 0.86,
175
+ "learning_rate": 3.973922902494331e-05,
176
+ "loss": 0.0515,
177
  "step": 280
178
  },
179
  {
180
+ "epoch": 0.89,
181
+ "learning_rate": 3.9172335600907026e-05,
182
+ "loss": 0.1542,
183
  "step": 290
184
  },
185
  {
186
+ "epoch": 0.92,
187
+ "learning_rate": 3.860544217687075e-05,
188
+ "loss": 0.0938,
189
  "step": 300
190
  },
191
  {
192
+ "epoch": 0.95,
193
+ "learning_rate": 3.803854875283447e-05,
194
+ "loss": 0.1027,
195
  "step": 310
196
  },
197
  {
198
+ "epoch": 0.98,
199
+ "learning_rate": 3.7471655328798186e-05,
200
+ "loss": 0.0957,
201
  "step": 320
202
  },
203
  {
204
+ "epoch": 1.0,
205
+ "eval_accuracy": 0.49264705882352944,
206
+ "eval_loss": 3.222269058227539,
207
+ "eval_runtime": 122.6031,
208
+ "eval_samples_per_second": 36.606,
209
+ "eval_steps_per_second": 4.576,
210
+ "step": 327
211
  },
212
  {
213
+ "epoch": 1.01,
214
+ "learning_rate": 3.690476190476191e-05,
215
+ "loss": 0.0376,
216
  "step": 330
217
  },
218
  {
219
+ "epoch": 1.04,
220
+ "learning_rate": 3.633786848072562e-05,
221
+ "loss": 0.061,
222
  "step": 340
223
  },
224
  {
225
+ "epoch": 1.07,
226
+ "learning_rate": 3.5770975056689345e-05,
227
+ "loss": 0.0793,
228
  "step": 350
229
  },
230
  {
231
+ "epoch": 1.1,
232
+ "learning_rate": 3.520408163265306e-05,
233
+ "loss": 0.1357,
234
  "step": 360
235
  },
236
  {
237
+ "epoch": 1.13,
238
+ "learning_rate": 3.463718820861678e-05,
239
+ "loss": 0.0869,
240
  "step": 370
241
  },
242
  {
243
+ "epoch": 1.16,
244
+ "learning_rate": 3.4070294784580505e-05,
245
+ "loss": 0.0761,
246
  "step": 380
247
  },
248
  {
249
+ "epoch": 1.19,
250
+ "learning_rate": 3.350340136054422e-05,
251
+ "loss": 0.201,
252
  "step": 390
253
  },
254
  {
255
+ "epoch": 1.22,
256
+ "learning_rate": 3.2936507936507936e-05,
257
+ "loss": 0.0895,
258
  "step": 400
259
  },
260
  {
261
+ "epoch": 1.25,
262
+ "learning_rate": 3.236961451247166e-05,
263
+ "loss": 0.0954,
264
  "step": 410
265
  },
266
  {
267
+ "epoch": 1.28,
268
+ "learning_rate": 3.180272108843538e-05,
269
+ "loss": 0.0771,
270
  "step": 420
271
  },
272
  {
273
+ "epoch": 1.31,
274
+ "learning_rate": 3.1235827664399095e-05,
275
+ "loss": 0.0845,
276
  "step": 430
277
  },
278
  {
279
+ "epoch": 1.34,
280
+ "learning_rate": 3.066893424036281e-05,
281
+ "loss": 0.0921,
282
  "step": 440
283
  },
284
  {
285
+ "epoch": 1.38,
286
+ "learning_rate": 3.0102040816326533e-05,
287
+ "loss": 0.0494,
288
  "step": 450
289
  },
290
  {
291
+ "epoch": 1.41,
292
+ "learning_rate": 2.953514739229025e-05,
293
+ "loss": 0.0674,
294
  "step": 460
295
  },
296
  {
297
+ "epoch": 1.44,
298
+ "learning_rate": 2.8968253968253974e-05,
299
+ "loss": 0.0761,
300
  "step": 470
301
  },
302
  {
303
+ "epoch": 1.47,
304
+ "learning_rate": 2.8401360544217685e-05,
305
+ "loss": 0.1304,
306
  "step": 480
307
  },
308
  {
309
+ "epoch": 1.5,
310
+ "learning_rate": 2.7834467120181408e-05,
311
+ "loss": 0.0656,
312
+ "step": 490
313
+ },
314
+ {
315
+ "epoch": 1.53,
316
+ "learning_rate": 2.7267573696145126e-05,
317
+ "loss": 0.0846,
318
+ "step": 500
319
+ },
320
+ {
321
+ "epoch": 1.56,
322
+ "learning_rate": 2.6700680272108845e-05,
323
+ "loss": 0.1056,
324
+ "step": 510
325
+ },
326
+ {
327
+ "epoch": 1.59,
328
+ "learning_rate": 2.613378684807256e-05,
329
+ "loss": 0.0988,
330
+ "step": 520
331
+ },
332
+ {
333
+ "epoch": 1.62,
334
+ "learning_rate": 2.5566893424036282e-05,
335
+ "loss": 0.0296,
336
+ "step": 530
337
+ },
338
+ {
339
+ "epoch": 1.65,
340
+ "learning_rate": 2.5e-05,
341
+ "loss": 0.046,
342
+ "step": 540
343
+ },
344
+ {
345
+ "epoch": 1.68,
346
+ "learning_rate": 2.443310657596372e-05,
347
+ "loss": 0.0415,
348
+ "step": 550
349
+ },
350
+ {
351
+ "epoch": 1.71,
352
+ "learning_rate": 2.386621315192744e-05,
353
+ "loss": 0.0348,
354
+ "step": 560
355
+ },
356
+ {
357
+ "epoch": 1.74,
358
+ "learning_rate": 2.3299319727891157e-05,
359
+ "loss": 0.0361,
360
+ "step": 570
361
+ },
362
+ {
363
+ "epoch": 1.77,
364
+ "learning_rate": 2.2732426303854876e-05,
365
+ "loss": 0.0803,
366
+ "step": 580
367
+ },
368
+ {
369
+ "epoch": 1.8,
370
+ "learning_rate": 2.2165532879818595e-05,
371
+ "loss": 0.0903,
372
+ "step": 590
373
+ },
374
+ {
375
+ "epoch": 1.83,
376
+ "learning_rate": 2.1598639455782314e-05,
377
+ "loss": 0.0534,
378
+ "step": 600
379
+ },
380
+ {
381
+ "epoch": 1.86,
382
+ "learning_rate": 2.1031746031746032e-05,
383
+ "loss": 0.0729,
384
+ "step": 610
385
+ },
386
+ {
387
+ "epoch": 1.89,
388
+ "learning_rate": 2.046485260770975e-05,
389
+ "loss": 0.0717,
390
+ "step": 620
391
+ },
392
+ {
393
+ "epoch": 1.93,
394
+ "learning_rate": 1.989795918367347e-05,
395
+ "loss": 0.0589,
396
+ "step": 630
397
+ },
398
+ {
399
+ "epoch": 1.96,
400
+ "learning_rate": 1.9331065759637192e-05,
401
+ "loss": 0.0643,
402
+ "step": 640
403
+ },
404
+ {
405
+ "epoch": 1.99,
406
+ "learning_rate": 1.8764172335600907e-05,
407
+ "loss": 0.1091,
408
+ "step": 650
409
+ },
410
+ {
411
+ "epoch": 2.0,
412
+ "eval_accuracy": 0.4801693404634581,
413
+ "eval_loss": 4.671401500701904,
414
+ "eval_runtime": 120.4302,
415
+ "eval_samples_per_second": 37.266,
416
+ "eval_steps_per_second": 4.658,
417
+ "step": 654
418
+ },
419
+ {
420
+ "epoch": 2.02,
421
+ "learning_rate": 1.8197278911564626e-05,
422
+ "loss": 0.0499,
423
+ "step": 660
424
+ },
425
+ {
426
+ "epoch": 2.05,
427
+ "learning_rate": 1.7630385487528345e-05,
428
+ "loss": 0.0436,
429
+ "step": 670
430
+ },
431
+ {
432
+ "epoch": 2.08,
433
+ "learning_rate": 1.7063492063492063e-05,
434
+ "loss": 0.0802,
435
+ "step": 680
436
+ },
437
+ {
438
+ "epoch": 2.11,
439
+ "learning_rate": 1.6496598639455782e-05,
440
+ "loss": 0.0561,
441
+ "step": 690
442
+ },
443
+ {
444
+ "epoch": 2.14,
445
+ "learning_rate": 1.59297052154195e-05,
446
+ "loss": 0.0556,
447
+ "step": 700
448
+ },
449
+ {
450
+ "epoch": 2.17,
451
+ "learning_rate": 1.5362811791383223e-05,
452
+ "loss": 0.0532,
453
+ "step": 710
454
+ },
455
+ {
456
+ "epoch": 2.2,
457
+ "learning_rate": 1.479591836734694e-05,
458
+ "loss": 0.1091,
459
+ "step": 720
460
+ },
461
+ {
462
+ "epoch": 2.23,
463
+ "learning_rate": 1.4229024943310659e-05,
464
+ "loss": 0.0926,
465
+ "step": 730
466
+ },
467
+ {
468
+ "epoch": 2.26,
469
+ "learning_rate": 1.3662131519274376e-05,
470
+ "loss": 0.0505,
471
+ "step": 740
472
+ },
473
+ {
474
+ "epoch": 2.29,
475
+ "learning_rate": 1.3095238095238096e-05,
476
+ "loss": 0.0551,
477
+ "step": 750
478
+ },
479
+ {
480
+ "epoch": 2.32,
481
+ "learning_rate": 1.2528344671201813e-05,
482
+ "loss": 0.043,
483
+ "step": 760
484
+ },
485
+ {
486
+ "epoch": 2.35,
487
+ "learning_rate": 1.1961451247165534e-05,
488
+ "loss": 0.024,
489
+ "step": 770
490
+ },
491
+ {
492
+ "epoch": 2.38,
493
+ "learning_rate": 1.1394557823129252e-05,
494
+ "loss": 0.0628,
495
+ "step": 780
496
+ },
497
+ {
498
+ "epoch": 2.41,
499
+ "learning_rate": 1.0827664399092971e-05,
500
+ "loss": 0.0504,
501
+ "step": 790
502
+ },
503
+ {
504
+ "epoch": 2.44,
505
+ "learning_rate": 1.026077097505669e-05,
506
+ "loss": 0.0302,
507
+ "step": 800
508
+ },
509
+ {
510
+ "epoch": 2.48,
511
+ "learning_rate": 9.693877551020408e-06,
512
+ "loss": 0.0599,
513
+ "step": 810
514
+ },
515
+ {
516
+ "epoch": 2.51,
517
+ "learning_rate": 9.126984126984127e-06,
518
+ "loss": 0.0641,
519
+ "step": 820
520
+ },
521
+ {
522
+ "epoch": 2.54,
523
+ "learning_rate": 8.560090702947846e-06,
524
+ "loss": 0.0526,
525
+ "step": 830
526
+ },
527
+ {
528
+ "epoch": 2.57,
529
+ "learning_rate": 7.993197278911566e-06,
530
+ "loss": 0.0291,
531
+ "step": 840
532
+ },
533
+ {
534
+ "epoch": 2.6,
535
+ "learning_rate": 7.426303854875284e-06,
536
+ "loss": 0.0375,
537
+ "step": 850
538
+ },
539
+ {
540
+ "epoch": 2.63,
541
+ "learning_rate": 6.859410430839003e-06,
542
+ "loss": 0.0495,
543
+ "step": 860
544
+ },
545
+ {
546
+ "epoch": 2.66,
547
+ "learning_rate": 6.292517006802722e-06,
548
+ "loss": 0.0608,
549
+ "step": 870
550
+ },
551
+ {
552
+ "epoch": 2.69,
553
+ "learning_rate": 5.72562358276644e-06,
554
+ "loss": 0.0423,
555
+ "step": 880
556
+ },
557
+ {
558
+ "epoch": 2.72,
559
+ "learning_rate": 5.158730158730159e-06,
560
+ "loss": 0.0195,
561
+ "step": 890
562
+ },
563
+ {
564
+ "epoch": 2.75,
565
+ "learning_rate": 4.591836734693878e-06,
566
+ "loss": 0.0247,
567
+ "step": 900
568
+ },
569
+ {
570
+ "epoch": 2.78,
571
+ "learning_rate": 4.0249433106575965e-06,
572
+ "loss": 0.0262,
573
+ "step": 910
574
+ },
575
+ {
576
+ "epoch": 2.81,
577
+ "learning_rate": 3.4580498866213153e-06,
578
+ "loss": 0.0572,
579
+ "step": 920
580
+ },
581
+ {
582
+ "epoch": 2.84,
583
+ "learning_rate": 2.8911564625850344e-06,
584
+ "loss": 0.0398,
585
+ "step": 930
586
+ },
587
+ {
588
+ "epoch": 2.87,
589
+ "learning_rate": 2.3242630385487527e-06,
590
+ "loss": 0.0249,
591
+ "step": 940
592
+ },
593
+ {
594
+ "epoch": 2.9,
595
+ "learning_rate": 1.7573696145124719e-06,
596
+ "loss": 0.0677,
597
+ "step": 950
598
+ },
599
+ {
600
+ "epoch": 2.93,
601
+ "learning_rate": 1.1904761904761904e-06,
602
+ "loss": 0.0651,
603
+ "step": 960
604
+ },
605
+ {
606
+ "epoch": 2.96,
607
+ "learning_rate": 6.235827664399093e-07,
608
+ "loss": 0.0562,
609
+ "step": 970
610
  },
611
  {
612
  "epoch": 2.99,
613
+ "learning_rate": 5.668934240362812e-08,
614
+ "loss": 0.0173,
615
+ "step": 980
616
+ },
617
+ {
618
+ "epoch": 3.0,
619
+ "eval_accuracy": 0.4977718360071301,
620
+ "eval_loss": 5.369597434997559,
621
+ "eval_runtime": 121.8488,
622
+ "eval_samples_per_second": 36.833,
623
+ "eval_steps_per_second": 4.604,
624
+ "step": 981
625
+ },
626
+ {
627
+ "epoch": 3.0,
628
+ "step": 981,
629
+ "total_flos": 7.802294942660198e+17,
630
+ "train_loss": 0.10781273749352231,
631
+ "train_runtime": 1166.1109,
632
+ "train_samples_per_second": 26.938,
633
+ "train_steps_per_second": 0.841
634
  }
635
  ],
636
  "logging_steps": 10,
637
+ "max_steps": 981,
638
  "num_train_epochs": 3,
639
  "save_steps": 500,
640
+ "total_flos": 7.802294942660198e+17,
641
  "trial_name": null,
642
  "trial_params": null
643
  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:41d801294ce4a88ce4ea1ae4a3b5fc4ff6cdf7d0ddf109d2434181fe897a313e
3
  size 4664
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d9338f859c2e11cd7f564756f8f8f95eae4ce9e2749fac6c4f9a022157dfe6ef
3
  size 4664