NDSrex commited on
Commit
fcc3008
1 Parent(s): f7ab2c8

Upload folder using huggingface_hub

Browse files
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "total_flos": 8.220718640312156e+17,
4
+ "train_loss": 0.1065347370164222,
5
+ "train_runtime": 522.7169,
6
+ "train_samples_per_second": 20.294,
7
+ "train_steps_per_second": 1.27
8
+ }
checkpoint-500/config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224-in21k",
3
+ "architectures": [
4
+ "ViTForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.0,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "European%20Starling%20-%20Invasive",
13
+ "1": "Feral_pigeon%20%281%29",
14
+ "2": "House%20sparrow%20%28Passer%20domesticus%29",
15
+ "3": "Muscovy%20Duck",
16
+ "4": "Non-invasive",
17
+ "5": "bulbul",
18
+ "6": "peacock"
19
+ },
20
+ "image_size": 224,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 3072,
23
+ "label2id": {
24
+ "European%20Starling%20-%20Invasive": "0",
25
+ "Feral_pigeon%20%281%29": "1",
26
+ "House%20sparrow%20%28Passer%20domesticus%29": "2",
27
+ "Muscovy%20Duck": "3",
28
+ "Non-invasive": "4",
29
+ "bulbul": "5",
30
+ "peacock": "6"
31
+ },
32
+ "layer_norm_eps": 1e-12,
33
+ "model_type": "vit",
34
+ "num_attention_heads": 12,
35
+ "num_channels": 3,
36
+ "num_hidden_layers": 12,
37
+ "patch_size": 16,
38
+ "problem_type": "single_label_classification",
39
+ "qkv_bias": true,
40
+ "torch_dtype": "float32",
41
+ "transformers_version": "4.30.2"
42
+ }
checkpoint-500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24f7a3cd44eb5b76bb8d438b4b9269239071f9ba54f14ba61c46f32475290e62
3
+ size 686549637
checkpoint-500/preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "do_rescale": true,
4
+ "do_resize": true,
5
+ "image_mean": [
6
+ 0.5,
7
+ 0.5,
8
+ 0.5
9
+ ],
10
+ "image_processor_type": "ViTFeatureExtractor",
11
+ "image_std": [
12
+ 0.5,
13
+ 0.5,
14
+ 0.5
15
+ ],
16
+ "resample": 2,
17
+ "rescale_factor": 0.00392156862745098,
18
+ "size": {
19
+ "height": 224,
20
+ "width": 224
21
+ }
22
+ }
checkpoint-500/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e35f2903003acc586fa12230d7b0a439ae2370e3287086d6fa15cf64608ce0a
3
+ size 343284077
checkpoint-500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:08d1f90efd2ec5917f1161087472df1d694f3bfb61fcf103c3c900b90c19e167
3
+ size 14575
checkpoint-500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b0af34128b75512a96cf2ae15bd4e1d40a29d03ee9bedd22604535024d8a2af0
3
+ size 627
checkpoint-500/trainer_state.json ADDED
@@ -0,0 +1,361 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.07279229909181595,
3
+ "best_model_checkpoint": "./vit-base-beans/checkpoint-500",
4
+ "epoch": 3.0120481927710845,
5
+ "global_step": 500,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.06,
12
+ "learning_rate": 0.00019698795180722893,
13
+ "loss": 1.6355,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.12,
18
+ "learning_rate": 0.00019397590361445782,
19
+ "loss": 1.0697,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.18,
24
+ "learning_rate": 0.00019096385542168677,
25
+ "loss": 0.6398,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.24,
30
+ "learning_rate": 0.00018795180722891569,
31
+ "loss": 0.4757,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.3,
36
+ "learning_rate": 0.00018493975903614458,
37
+ "loss": 0.3393,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.36,
42
+ "learning_rate": 0.0001819277108433735,
43
+ "loss": 0.297,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.42,
48
+ "learning_rate": 0.00017891566265060242,
49
+ "loss": 0.2623,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.48,
54
+ "learning_rate": 0.00017590361445783134,
55
+ "loss": 0.2053,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.54,
60
+ "learning_rate": 0.00017289156626506026,
61
+ "loss": 0.1578,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.6,
66
+ "learning_rate": 0.00016987951807228917,
67
+ "loss": 0.1579,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.6,
72
+ "eval_accuracy": 0.967479674796748,
73
+ "eval_loss": 0.16562165319919586,
74
+ "eval_runtime": 5.2378,
75
+ "eval_samples_per_second": 46.966,
76
+ "eval_steps_per_second": 5.919,
77
+ "step": 100
78
+ },
79
+ {
80
+ "epoch": 0.66,
81
+ "learning_rate": 0.0001668674698795181,
82
+ "loss": 0.1362,
83
+ "step": 110
84
+ },
85
+ {
86
+ "epoch": 0.72,
87
+ "learning_rate": 0.00016385542168674699,
88
+ "loss": 0.1524,
89
+ "step": 120
90
+ },
91
+ {
92
+ "epoch": 0.78,
93
+ "learning_rate": 0.0001608433734939759,
94
+ "loss": 0.0724,
95
+ "step": 130
96
+ },
97
+ {
98
+ "epoch": 0.84,
99
+ "learning_rate": 0.00015783132530120482,
100
+ "loss": 0.2021,
101
+ "step": 140
102
+ },
103
+ {
104
+ "epoch": 0.9,
105
+ "learning_rate": 0.00015481927710843374,
106
+ "loss": 0.0813,
107
+ "step": 150
108
+ },
109
+ {
110
+ "epoch": 0.96,
111
+ "learning_rate": 0.00015180722891566266,
112
+ "loss": 0.0626,
113
+ "step": 160
114
+ },
115
+ {
116
+ "epoch": 1.02,
117
+ "learning_rate": 0.00014879518072289158,
118
+ "loss": 0.0959,
119
+ "step": 170
120
+ },
121
+ {
122
+ "epoch": 1.08,
123
+ "learning_rate": 0.00014578313253012047,
124
+ "loss": 0.0884,
125
+ "step": 180
126
+ },
127
+ {
128
+ "epoch": 1.14,
129
+ "learning_rate": 0.0001427710843373494,
130
+ "loss": 0.0713,
131
+ "step": 190
132
+ },
133
+ {
134
+ "epoch": 1.2,
135
+ "learning_rate": 0.00013975903614457834,
136
+ "loss": 0.0604,
137
+ "step": 200
138
+ },
139
+ {
140
+ "epoch": 1.2,
141
+ "eval_accuracy": 0.983739837398374,
142
+ "eval_loss": 0.11851482838392258,
143
+ "eval_runtime": 4.2166,
144
+ "eval_samples_per_second": 58.341,
145
+ "eval_steps_per_second": 7.352,
146
+ "step": 200
147
+ },
148
+ {
149
+ "epoch": 1.27,
150
+ "learning_rate": 0.00013674698795180723,
151
+ "loss": 0.0534,
152
+ "step": 210
153
+ },
154
+ {
155
+ "epoch": 1.33,
156
+ "learning_rate": 0.00013373493975903615,
157
+ "loss": 0.0292,
158
+ "step": 220
159
+ },
160
+ {
161
+ "epoch": 1.39,
162
+ "learning_rate": 0.00013072289156626507,
163
+ "loss": 0.0395,
164
+ "step": 230
165
+ },
166
+ {
167
+ "epoch": 1.45,
168
+ "learning_rate": 0.00012771084337349396,
169
+ "loss": 0.0325,
170
+ "step": 240
171
+ },
172
+ {
173
+ "epoch": 1.51,
174
+ "learning_rate": 0.00012469879518072288,
175
+ "loss": 0.0298,
176
+ "step": 250
177
+ },
178
+ {
179
+ "epoch": 1.57,
180
+ "learning_rate": 0.00012168674698795181,
181
+ "loss": 0.0211,
182
+ "step": 260
183
+ },
184
+ {
185
+ "epoch": 1.63,
186
+ "learning_rate": 0.00011867469879518073,
187
+ "loss": 0.07,
188
+ "step": 270
189
+ },
190
+ {
191
+ "epoch": 1.69,
192
+ "learning_rate": 0.00011566265060240964,
193
+ "loss": 0.0411,
194
+ "step": 280
195
+ },
196
+ {
197
+ "epoch": 1.75,
198
+ "learning_rate": 0.00011265060240963856,
199
+ "loss": 0.0201,
200
+ "step": 290
201
+ },
202
+ {
203
+ "epoch": 1.81,
204
+ "learning_rate": 0.00010963855421686749,
205
+ "loss": 0.0178,
206
+ "step": 300
207
+ },
208
+ {
209
+ "epoch": 1.81,
210
+ "eval_accuracy": 0.9634146341463414,
211
+ "eval_loss": 0.1352052390575409,
212
+ "eval_runtime": 4.4847,
213
+ "eval_samples_per_second": 54.853,
214
+ "eval_steps_per_second": 6.912,
215
+ "step": 300
216
+ },
217
+ {
218
+ "epoch": 1.87,
219
+ "learning_rate": 0.00010662650602409638,
220
+ "loss": 0.0229,
221
+ "step": 310
222
+ },
223
+ {
224
+ "epoch": 1.93,
225
+ "learning_rate": 0.0001036144578313253,
226
+ "loss": 0.0155,
227
+ "step": 320
228
+ },
229
+ {
230
+ "epoch": 1.99,
231
+ "learning_rate": 0.00010060240963855423,
232
+ "loss": 0.0148,
233
+ "step": 330
234
+ },
235
+ {
236
+ "epoch": 2.05,
237
+ "learning_rate": 9.759036144578314e-05,
238
+ "loss": 0.0156,
239
+ "step": 340
240
+ },
241
+ {
242
+ "epoch": 2.11,
243
+ "learning_rate": 9.457831325301205e-05,
244
+ "loss": 0.0135,
245
+ "step": 350
246
+ },
247
+ {
248
+ "epoch": 2.17,
249
+ "learning_rate": 9.156626506024096e-05,
250
+ "loss": 0.0139,
251
+ "step": 360
252
+ },
253
+ {
254
+ "epoch": 2.23,
255
+ "learning_rate": 8.855421686746988e-05,
256
+ "loss": 0.0229,
257
+ "step": 370
258
+ },
259
+ {
260
+ "epoch": 2.29,
261
+ "learning_rate": 8.55421686746988e-05,
262
+ "loss": 0.0122,
263
+ "step": 380
264
+ },
265
+ {
266
+ "epoch": 2.35,
267
+ "learning_rate": 8.253012048192772e-05,
268
+ "loss": 0.0121,
269
+ "step": 390
270
+ },
271
+ {
272
+ "epoch": 2.41,
273
+ "learning_rate": 7.951807228915663e-05,
274
+ "loss": 0.0112,
275
+ "step": 400
276
+ },
277
+ {
278
+ "epoch": 2.41,
279
+ "eval_accuracy": 0.975609756097561,
280
+ "eval_loss": 0.10706935822963715,
281
+ "eval_runtime": 4.4577,
282
+ "eval_samples_per_second": 55.186,
283
+ "eval_steps_per_second": 6.954,
284
+ "step": 400
285
+ },
286
+ {
287
+ "epoch": 2.47,
288
+ "learning_rate": 7.650602409638555e-05,
289
+ "loss": 0.0269,
290
+ "step": 410
291
+ },
292
+ {
293
+ "epoch": 2.53,
294
+ "learning_rate": 7.349397590361447e-05,
295
+ "loss": 0.0119,
296
+ "step": 420
297
+ },
298
+ {
299
+ "epoch": 2.59,
300
+ "learning_rate": 7.048192771084337e-05,
301
+ "loss": 0.0346,
302
+ "step": 430
303
+ },
304
+ {
305
+ "epoch": 2.65,
306
+ "learning_rate": 6.746987951807229e-05,
307
+ "loss": 0.0104,
308
+ "step": 440
309
+ },
310
+ {
311
+ "epoch": 2.71,
312
+ "learning_rate": 6.445783132530121e-05,
313
+ "loss": 0.0101,
314
+ "step": 450
315
+ },
316
+ {
317
+ "epoch": 2.77,
318
+ "learning_rate": 6.144578313253012e-05,
319
+ "loss": 0.0114,
320
+ "step": 460
321
+ },
322
+ {
323
+ "epoch": 2.83,
324
+ "learning_rate": 5.843373493975904e-05,
325
+ "loss": 0.0098,
326
+ "step": 470
327
+ },
328
+ {
329
+ "epoch": 2.89,
330
+ "learning_rate": 5.5421686746987955e-05,
331
+ "loss": 0.0094,
332
+ "step": 480
333
+ },
334
+ {
335
+ "epoch": 2.95,
336
+ "learning_rate": 5.240963855421687e-05,
337
+ "loss": 0.0099,
338
+ "step": 490
339
+ },
340
+ {
341
+ "epoch": 3.01,
342
+ "learning_rate": 4.9397590361445786e-05,
343
+ "loss": 0.0092,
344
+ "step": 500
345
+ },
346
+ {
347
+ "epoch": 3.01,
348
+ "eval_accuracy": 0.983739837398374,
349
+ "eval_loss": 0.07279229909181595,
350
+ "eval_runtime": 4.7057,
351
+ "eval_samples_per_second": 52.277,
352
+ "eval_steps_per_second": 6.588,
353
+ "step": 500
354
+ }
355
+ ],
356
+ "max_steps": 664,
357
+ "num_train_epochs": 4,
358
+ "total_flos": 6.190337528168694e+17,
359
+ "trial_name": null,
360
+ "trial_params": null
361
+ }
checkpoint-500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd31d16b513ace501de5df151442279b2d73d5929fca30d2a73c9d3c21bd89bd
3
+ size 3899
checkpoint-600/config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224-in21k",
3
+ "architectures": [
4
+ "ViTForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.0,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "European%20Starling%20-%20Invasive",
13
+ "1": "Feral_pigeon%20%281%29",
14
+ "2": "House%20sparrow%20%28Passer%20domesticus%29",
15
+ "3": "Muscovy%20Duck",
16
+ "4": "Non-invasive",
17
+ "5": "bulbul",
18
+ "6": "peacock"
19
+ },
20
+ "image_size": 224,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 3072,
23
+ "label2id": {
24
+ "European%20Starling%20-%20Invasive": "0",
25
+ "Feral_pigeon%20%281%29": "1",
26
+ "House%20sparrow%20%28Passer%20domesticus%29": "2",
27
+ "Muscovy%20Duck": "3",
28
+ "Non-invasive": "4",
29
+ "bulbul": "5",
30
+ "peacock": "6"
31
+ },
32
+ "layer_norm_eps": 1e-12,
33
+ "model_type": "vit",
34
+ "num_attention_heads": 12,
35
+ "num_channels": 3,
36
+ "num_hidden_layers": 12,
37
+ "patch_size": 16,
38
+ "problem_type": "single_label_classification",
39
+ "qkv_bias": true,
40
+ "torch_dtype": "float32",
41
+ "transformers_version": "4.30.2"
42
+ }
checkpoint-600/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ff2d49a2ad2df39c3c1b8ba9be349127ce620615e5d7fd3e5d5121180e011ab5
3
+ size 686549637
checkpoint-600/preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "do_rescale": true,
4
+ "do_resize": true,
5
+ "image_mean": [
6
+ 0.5,
7
+ 0.5,
8
+ 0.5
9
+ ],
10
+ "image_processor_type": "ViTFeatureExtractor",
11
+ "image_std": [
12
+ 0.5,
13
+ 0.5,
14
+ 0.5
15
+ ],
16
+ "resample": 2,
17
+ "rescale_factor": 0.00392156862745098,
18
+ "size": {
19
+ "height": 224,
20
+ "width": 224
21
+ }
22
+ }
checkpoint-600/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f754c81e253146cf8f143265ea8a0855432a701853aa6eabfbfe4cb4ec02dc0b
3
+ size 343284077
checkpoint-600/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8bb3860d98363e44bc4704fb9458deec927fd96997d1d09c80639070db959d22
3
+ size 14575
checkpoint-600/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e5c5410236a01c76e00a372a6d100405306d921ea2e7b7cc3083628f1364373
3
+ size 627
checkpoint-600/trainer_state.json ADDED
@@ -0,0 +1,430 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.07279229909181595,
3
+ "best_model_checkpoint": "./vit-base-beans/checkpoint-500",
4
+ "epoch": 3.6144578313253013,
5
+ "global_step": 600,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.06,
12
+ "learning_rate": 0.00019698795180722893,
13
+ "loss": 1.6355,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.12,
18
+ "learning_rate": 0.00019397590361445782,
19
+ "loss": 1.0697,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.18,
24
+ "learning_rate": 0.00019096385542168677,
25
+ "loss": 0.6398,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.24,
30
+ "learning_rate": 0.00018795180722891569,
31
+ "loss": 0.4757,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.3,
36
+ "learning_rate": 0.00018493975903614458,
37
+ "loss": 0.3393,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.36,
42
+ "learning_rate": 0.0001819277108433735,
43
+ "loss": 0.297,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.42,
48
+ "learning_rate": 0.00017891566265060242,
49
+ "loss": 0.2623,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.48,
54
+ "learning_rate": 0.00017590361445783134,
55
+ "loss": 0.2053,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.54,
60
+ "learning_rate": 0.00017289156626506026,
61
+ "loss": 0.1578,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.6,
66
+ "learning_rate": 0.00016987951807228917,
67
+ "loss": 0.1579,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.6,
72
+ "eval_accuracy": 0.967479674796748,
73
+ "eval_loss": 0.16562165319919586,
74
+ "eval_runtime": 5.2378,
75
+ "eval_samples_per_second": 46.966,
76
+ "eval_steps_per_second": 5.919,
77
+ "step": 100
78
+ },
79
+ {
80
+ "epoch": 0.66,
81
+ "learning_rate": 0.0001668674698795181,
82
+ "loss": 0.1362,
83
+ "step": 110
84
+ },
85
+ {
86
+ "epoch": 0.72,
87
+ "learning_rate": 0.00016385542168674699,
88
+ "loss": 0.1524,
89
+ "step": 120
90
+ },
91
+ {
92
+ "epoch": 0.78,
93
+ "learning_rate": 0.0001608433734939759,
94
+ "loss": 0.0724,
95
+ "step": 130
96
+ },
97
+ {
98
+ "epoch": 0.84,
99
+ "learning_rate": 0.00015783132530120482,
100
+ "loss": 0.2021,
101
+ "step": 140
102
+ },
103
+ {
104
+ "epoch": 0.9,
105
+ "learning_rate": 0.00015481927710843374,
106
+ "loss": 0.0813,
107
+ "step": 150
108
+ },
109
+ {
110
+ "epoch": 0.96,
111
+ "learning_rate": 0.00015180722891566266,
112
+ "loss": 0.0626,
113
+ "step": 160
114
+ },
115
+ {
116
+ "epoch": 1.02,
117
+ "learning_rate": 0.00014879518072289158,
118
+ "loss": 0.0959,
119
+ "step": 170
120
+ },
121
+ {
122
+ "epoch": 1.08,
123
+ "learning_rate": 0.00014578313253012047,
124
+ "loss": 0.0884,
125
+ "step": 180
126
+ },
127
+ {
128
+ "epoch": 1.14,
129
+ "learning_rate": 0.0001427710843373494,
130
+ "loss": 0.0713,
131
+ "step": 190
132
+ },
133
+ {
134
+ "epoch": 1.2,
135
+ "learning_rate": 0.00013975903614457834,
136
+ "loss": 0.0604,
137
+ "step": 200
138
+ },
139
+ {
140
+ "epoch": 1.2,
141
+ "eval_accuracy": 0.983739837398374,
142
+ "eval_loss": 0.11851482838392258,
143
+ "eval_runtime": 4.2166,
144
+ "eval_samples_per_second": 58.341,
145
+ "eval_steps_per_second": 7.352,
146
+ "step": 200
147
+ },
148
+ {
149
+ "epoch": 1.27,
150
+ "learning_rate": 0.00013674698795180723,
151
+ "loss": 0.0534,
152
+ "step": 210
153
+ },
154
+ {
155
+ "epoch": 1.33,
156
+ "learning_rate": 0.00013373493975903615,
157
+ "loss": 0.0292,
158
+ "step": 220
159
+ },
160
+ {
161
+ "epoch": 1.39,
162
+ "learning_rate": 0.00013072289156626507,
163
+ "loss": 0.0395,
164
+ "step": 230
165
+ },
166
+ {
167
+ "epoch": 1.45,
168
+ "learning_rate": 0.00012771084337349396,
169
+ "loss": 0.0325,
170
+ "step": 240
171
+ },
172
+ {
173
+ "epoch": 1.51,
174
+ "learning_rate": 0.00012469879518072288,
175
+ "loss": 0.0298,
176
+ "step": 250
177
+ },
178
+ {
179
+ "epoch": 1.57,
180
+ "learning_rate": 0.00012168674698795181,
181
+ "loss": 0.0211,
182
+ "step": 260
183
+ },
184
+ {
185
+ "epoch": 1.63,
186
+ "learning_rate": 0.00011867469879518073,
187
+ "loss": 0.07,
188
+ "step": 270
189
+ },
190
+ {
191
+ "epoch": 1.69,
192
+ "learning_rate": 0.00011566265060240964,
193
+ "loss": 0.0411,
194
+ "step": 280
195
+ },
196
+ {
197
+ "epoch": 1.75,
198
+ "learning_rate": 0.00011265060240963856,
199
+ "loss": 0.0201,
200
+ "step": 290
201
+ },
202
+ {
203
+ "epoch": 1.81,
204
+ "learning_rate": 0.00010963855421686749,
205
+ "loss": 0.0178,
206
+ "step": 300
207
+ },
208
+ {
209
+ "epoch": 1.81,
210
+ "eval_accuracy": 0.9634146341463414,
211
+ "eval_loss": 0.1352052390575409,
212
+ "eval_runtime": 4.4847,
213
+ "eval_samples_per_second": 54.853,
214
+ "eval_steps_per_second": 6.912,
215
+ "step": 300
216
+ },
217
+ {
218
+ "epoch": 1.87,
219
+ "learning_rate": 0.00010662650602409638,
220
+ "loss": 0.0229,
221
+ "step": 310
222
+ },
223
+ {
224
+ "epoch": 1.93,
225
+ "learning_rate": 0.0001036144578313253,
226
+ "loss": 0.0155,
227
+ "step": 320
228
+ },
229
+ {
230
+ "epoch": 1.99,
231
+ "learning_rate": 0.00010060240963855423,
232
+ "loss": 0.0148,
233
+ "step": 330
234
+ },
235
+ {
236
+ "epoch": 2.05,
237
+ "learning_rate": 9.759036144578314e-05,
238
+ "loss": 0.0156,
239
+ "step": 340
240
+ },
241
+ {
242
+ "epoch": 2.11,
243
+ "learning_rate": 9.457831325301205e-05,
244
+ "loss": 0.0135,
245
+ "step": 350
246
+ },
247
+ {
248
+ "epoch": 2.17,
249
+ "learning_rate": 9.156626506024096e-05,
250
+ "loss": 0.0139,
251
+ "step": 360
252
+ },
253
+ {
254
+ "epoch": 2.23,
255
+ "learning_rate": 8.855421686746988e-05,
256
+ "loss": 0.0229,
257
+ "step": 370
258
+ },
259
+ {
260
+ "epoch": 2.29,
261
+ "learning_rate": 8.55421686746988e-05,
262
+ "loss": 0.0122,
263
+ "step": 380
264
+ },
265
+ {
266
+ "epoch": 2.35,
267
+ "learning_rate": 8.253012048192772e-05,
268
+ "loss": 0.0121,
269
+ "step": 390
270
+ },
271
+ {
272
+ "epoch": 2.41,
273
+ "learning_rate": 7.951807228915663e-05,
274
+ "loss": 0.0112,
275
+ "step": 400
276
+ },
277
+ {
278
+ "epoch": 2.41,
279
+ "eval_accuracy": 0.975609756097561,
280
+ "eval_loss": 0.10706935822963715,
281
+ "eval_runtime": 4.4577,
282
+ "eval_samples_per_second": 55.186,
283
+ "eval_steps_per_second": 6.954,
284
+ "step": 400
285
+ },
286
+ {
287
+ "epoch": 2.47,
288
+ "learning_rate": 7.650602409638555e-05,
289
+ "loss": 0.0269,
290
+ "step": 410
291
+ },
292
+ {
293
+ "epoch": 2.53,
294
+ "learning_rate": 7.349397590361447e-05,
295
+ "loss": 0.0119,
296
+ "step": 420
297
+ },
298
+ {
299
+ "epoch": 2.59,
300
+ "learning_rate": 7.048192771084337e-05,
301
+ "loss": 0.0346,
302
+ "step": 430
303
+ },
304
+ {
305
+ "epoch": 2.65,
306
+ "learning_rate": 6.746987951807229e-05,
307
+ "loss": 0.0104,
308
+ "step": 440
309
+ },
310
+ {
311
+ "epoch": 2.71,
312
+ "learning_rate": 6.445783132530121e-05,
313
+ "loss": 0.0101,
314
+ "step": 450
315
+ },
316
+ {
317
+ "epoch": 2.77,
318
+ "learning_rate": 6.144578313253012e-05,
319
+ "loss": 0.0114,
320
+ "step": 460
321
+ },
322
+ {
323
+ "epoch": 2.83,
324
+ "learning_rate": 5.843373493975904e-05,
325
+ "loss": 0.0098,
326
+ "step": 470
327
+ },
328
+ {
329
+ "epoch": 2.89,
330
+ "learning_rate": 5.5421686746987955e-05,
331
+ "loss": 0.0094,
332
+ "step": 480
333
+ },
334
+ {
335
+ "epoch": 2.95,
336
+ "learning_rate": 5.240963855421687e-05,
337
+ "loss": 0.0099,
338
+ "step": 490
339
+ },
340
+ {
341
+ "epoch": 3.01,
342
+ "learning_rate": 4.9397590361445786e-05,
343
+ "loss": 0.0092,
344
+ "step": 500
345
+ },
346
+ {
347
+ "epoch": 3.01,
348
+ "eval_accuracy": 0.983739837398374,
349
+ "eval_loss": 0.07279229909181595,
350
+ "eval_runtime": 4.7057,
351
+ "eval_samples_per_second": 52.277,
352
+ "eval_steps_per_second": 6.588,
353
+ "step": 500
354
+ },
355
+ {
356
+ "epoch": 3.07,
357
+ "learning_rate": 4.63855421686747e-05,
358
+ "loss": 0.009,
359
+ "step": 510
360
+ },
361
+ {
362
+ "epoch": 3.13,
363
+ "learning_rate": 4.337349397590362e-05,
364
+ "loss": 0.0089,
365
+ "step": 520
366
+ },
367
+ {
368
+ "epoch": 3.19,
369
+ "learning_rate": 4.036144578313254e-05,
370
+ "loss": 0.0087,
371
+ "step": 530
372
+ },
373
+ {
374
+ "epoch": 3.25,
375
+ "learning_rate": 3.734939759036144e-05,
376
+ "loss": 0.0085,
377
+ "step": 540
378
+ },
379
+ {
380
+ "epoch": 3.31,
381
+ "learning_rate": 3.433734939759036e-05,
382
+ "loss": 0.0083,
383
+ "step": 550
384
+ },
385
+ {
386
+ "epoch": 3.37,
387
+ "learning_rate": 3.132530120481928e-05,
388
+ "loss": 0.0082,
389
+ "step": 560
390
+ },
391
+ {
392
+ "epoch": 3.43,
393
+ "learning_rate": 2.8313253012048197e-05,
394
+ "loss": 0.0083,
395
+ "step": 570
396
+ },
397
+ {
398
+ "epoch": 3.49,
399
+ "learning_rate": 2.530120481927711e-05,
400
+ "loss": 0.0317,
401
+ "step": 580
402
+ },
403
+ {
404
+ "epoch": 3.55,
405
+ "learning_rate": 2.2289156626506025e-05,
406
+ "loss": 0.0079,
407
+ "step": 590
408
+ },
409
+ {
410
+ "epoch": 3.61,
411
+ "learning_rate": 1.927710843373494e-05,
412
+ "loss": 0.008,
413
+ "step": 600
414
+ },
415
+ {
416
+ "epoch": 3.61,
417
+ "eval_accuracy": 0.983739837398374,
418
+ "eval_loss": 0.08243442326784134,
419
+ "eval_runtime": 5.1012,
420
+ "eval_samples_per_second": 48.224,
421
+ "eval_steps_per_second": 6.077,
422
+ "step": 600
423
+ }
424
+ ],
425
+ "max_steps": 664,
426
+ "num_train_epochs": 4,
427
+ "total_flos": 7.430264924897526e+17,
428
+ "trial_name": null,
429
+ "trial_params": null
430
+ }
checkpoint-600/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd31d16b513ace501de5df151442279b2d73d5929fca30d2a73c9d3c21bd89bd
3
+ size 3899
config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224-in21k",
3
+ "architectures": [
4
+ "ViTForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.0,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "European%20Starling%20-%20Invasive",
13
+ "1": "Feral_pigeon%20%281%29",
14
+ "2": "House%20sparrow%20%28Passer%20domesticus%29",
15
+ "3": "Muscovy%20Duck",
16
+ "4": "Non-invasive",
17
+ "5": "bulbul",
18
+ "6": "peacock"
19
+ },
20
+ "image_size": 224,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 3072,
23
+ "label2id": {
24
+ "European%20Starling%20-%20Invasive": "0",
25
+ "Feral_pigeon%20%281%29": "1",
26
+ "House%20sparrow%20%28Passer%20domesticus%29": "2",
27
+ "Muscovy%20Duck": "3",
28
+ "Non-invasive": "4",
29
+ "bulbul": "5",
30
+ "peacock": "6"
31
+ },
32
+ "layer_norm_eps": 1e-12,
33
+ "model_type": "vit",
34
+ "num_attention_heads": 12,
35
+ "num_channels": 3,
36
+ "num_hidden_layers": 12,
37
+ "patch_size": 16,
38
+ "problem_type": "single_label_classification",
39
+ "qkv_bias": true,
40
+ "torch_dtype": "float32",
41
+ "transformers_version": "4.30.2"
42
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "do_rescale": true,
4
+ "do_resize": true,
5
+ "image_mean": [
6
+ 0.5,
7
+ 0.5,
8
+ 0.5
9
+ ],
10
+ "image_processor_type": "ViTFeatureExtractor",
11
+ "image_std": [
12
+ 0.5,
13
+ 0.5,
14
+ 0.5
15
+ ],
16
+ "resample": 2,
17
+ "rescale_factor": 0.00392156862745098,
18
+ "size": {
19
+ "height": 224,
20
+ "width": 224
21
+ }
22
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e35f2903003acc586fa12230d7b0a439ae2370e3287086d6fa15cf64608ce0a
3
+ size 343284077
runs/Jun21_15-46-26_cd1059c26c31/events.out.tfevents.1687362391.cd1059c26c31.547.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7a184fbafc86351f0d12aa7a1b2f6d82c0a745866233058041966976d297a5e0
3
+ size 4386
runs/Jun21_15-48-40_cd1059c26c31/events.out.tfevents.1687362521.cd1059c26c31.547.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a39f21e97298fec679113ec56b6bc9e2796b0f48e46c4ac24d074215c60c2fa8
3
+ size 4386
runs/Jun21_15-49-12_cd1059c26c31/events.out.tfevents.1687362553.cd1059c26c31.547.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed8b661d05638effd9b97cb7514093c3d4594cb9a2c00cb7b52dc70c5c9089ae
3
+ size 16998
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "total_flos": 8.220718640312156e+17,
4
+ "train_loss": 0.1065347370164222,
5
+ "train_runtime": 522.7169,
6
+ "train_samples_per_second": 20.294,
7
+ "train_steps_per_second": 1.27
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,475 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.07279229909181595,
3
+ "best_model_checkpoint": "./vit-base-beans/checkpoint-500",
4
+ "epoch": 4.0,
5
+ "global_step": 664,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.06,
12
+ "learning_rate": 0.00019698795180722893,
13
+ "loss": 1.6355,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.12,
18
+ "learning_rate": 0.00019397590361445782,
19
+ "loss": 1.0697,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.18,
24
+ "learning_rate": 0.00019096385542168677,
25
+ "loss": 0.6398,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.24,
30
+ "learning_rate": 0.00018795180722891569,
31
+ "loss": 0.4757,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.3,
36
+ "learning_rate": 0.00018493975903614458,
37
+ "loss": 0.3393,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.36,
42
+ "learning_rate": 0.0001819277108433735,
43
+ "loss": 0.297,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.42,
48
+ "learning_rate": 0.00017891566265060242,
49
+ "loss": 0.2623,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.48,
54
+ "learning_rate": 0.00017590361445783134,
55
+ "loss": 0.2053,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.54,
60
+ "learning_rate": 0.00017289156626506026,
61
+ "loss": 0.1578,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.6,
66
+ "learning_rate": 0.00016987951807228917,
67
+ "loss": 0.1579,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.6,
72
+ "eval_accuracy": 0.967479674796748,
73
+ "eval_loss": 0.16562165319919586,
74
+ "eval_runtime": 5.2378,
75
+ "eval_samples_per_second": 46.966,
76
+ "eval_steps_per_second": 5.919,
77
+ "step": 100
78
+ },
79
+ {
80
+ "epoch": 0.66,
81
+ "learning_rate": 0.0001668674698795181,
82
+ "loss": 0.1362,
83
+ "step": 110
84
+ },
85
+ {
86
+ "epoch": 0.72,
87
+ "learning_rate": 0.00016385542168674699,
88
+ "loss": 0.1524,
89
+ "step": 120
90
+ },
91
+ {
92
+ "epoch": 0.78,
93
+ "learning_rate": 0.0001608433734939759,
94
+ "loss": 0.0724,
95
+ "step": 130
96
+ },
97
+ {
98
+ "epoch": 0.84,
99
+ "learning_rate": 0.00015783132530120482,
100
+ "loss": 0.2021,
101
+ "step": 140
102
+ },
103
+ {
104
+ "epoch": 0.9,
105
+ "learning_rate": 0.00015481927710843374,
106
+ "loss": 0.0813,
107
+ "step": 150
108
+ },
109
+ {
110
+ "epoch": 0.96,
111
+ "learning_rate": 0.00015180722891566266,
112
+ "loss": 0.0626,
113
+ "step": 160
114
+ },
115
+ {
116
+ "epoch": 1.02,
117
+ "learning_rate": 0.00014879518072289158,
118
+ "loss": 0.0959,
119
+ "step": 170
120
+ },
121
+ {
122
+ "epoch": 1.08,
123
+ "learning_rate": 0.00014578313253012047,
124
+ "loss": 0.0884,
125
+ "step": 180
126
+ },
127
+ {
128
+ "epoch": 1.14,
129
+ "learning_rate": 0.0001427710843373494,
130
+ "loss": 0.0713,
131
+ "step": 190
132
+ },
133
+ {
134
+ "epoch": 1.2,
135
+ "learning_rate": 0.00013975903614457834,
136
+ "loss": 0.0604,
137
+ "step": 200
138
+ },
139
+ {
140
+ "epoch": 1.2,
141
+ "eval_accuracy": 0.983739837398374,
142
+ "eval_loss": 0.11851482838392258,
143
+ "eval_runtime": 4.2166,
144
+ "eval_samples_per_second": 58.341,
145
+ "eval_steps_per_second": 7.352,
146
+ "step": 200
147
+ },
148
+ {
149
+ "epoch": 1.27,
150
+ "learning_rate": 0.00013674698795180723,
151
+ "loss": 0.0534,
152
+ "step": 210
153
+ },
154
+ {
155
+ "epoch": 1.33,
156
+ "learning_rate": 0.00013373493975903615,
157
+ "loss": 0.0292,
158
+ "step": 220
159
+ },
160
+ {
161
+ "epoch": 1.39,
162
+ "learning_rate": 0.00013072289156626507,
163
+ "loss": 0.0395,
164
+ "step": 230
165
+ },
166
+ {
167
+ "epoch": 1.45,
168
+ "learning_rate": 0.00012771084337349396,
169
+ "loss": 0.0325,
170
+ "step": 240
171
+ },
172
+ {
173
+ "epoch": 1.51,
174
+ "learning_rate": 0.00012469879518072288,
175
+ "loss": 0.0298,
176
+ "step": 250
177
+ },
178
+ {
179
+ "epoch": 1.57,
180
+ "learning_rate": 0.00012168674698795181,
181
+ "loss": 0.0211,
182
+ "step": 260
183
+ },
184
+ {
185
+ "epoch": 1.63,
186
+ "learning_rate": 0.00011867469879518073,
187
+ "loss": 0.07,
188
+ "step": 270
189
+ },
190
+ {
191
+ "epoch": 1.69,
192
+ "learning_rate": 0.00011566265060240964,
193
+ "loss": 0.0411,
194
+ "step": 280
195
+ },
196
+ {
197
+ "epoch": 1.75,
198
+ "learning_rate": 0.00011265060240963856,
199
+ "loss": 0.0201,
200
+ "step": 290
201
+ },
202
+ {
203
+ "epoch": 1.81,
204
+ "learning_rate": 0.00010963855421686749,
205
+ "loss": 0.0178,
206
+ "step": 300
207
+ },
208
+ {
209
+ "epoch": 1.81,
210
+ "eval_accuracy": 0.9634146341463414,
211
+ "eval_loss": 0.1352052390575409,
212
+ "eval_runtime": 4.4847,
213
+ "eval_samples_per_second": 54.853,
214
+ "eval_steps_per_second": 6.912,
215
+ "step": 300
216
+ },
217
+ {
218
+ "epoch": 1.87,
219
+ "learning_rate": 0.00010662650602409638,
220
+ "loss": 0.0229,
221
+ "step": 310
222
+ },
223
+ {
224
+ "epoch": 1.93,
225
+ "learning_rate": 0.0001036144578313253,
226
+ "loss": 0.0155,
227
+ "step": 320
228
+ },
229
+ {
230
+ "epoch": 1.99,
231
+ "learning_rate": 0.00010060240963855423,
232
+ "loss": 0.0148,
233
+ "step": 330
234
+ },
235
+ {
236
+ "epoch": 2.05,
237
+ "learning_rate": 9.759036144578314e-05,
238
+ "loss": 0.0156,
239
+ "step": 340
240
+ },
241
+ {
242
+ "epoch": 2.11,
243
+ "learning_rate": 9.457831325301205e-05,
244
+ "loss": 0.0135,
245
+ "step": 350
246
+ },
247
+ {
248
+ "epoch": 2.17,
249
+ "learning_rate": 9.156626506024096e-05,
250
+ "loss": 0.0139,
251
+ "step": 360
252
+ },
253
+ {
254
+ "epoch": 2.23,
255
+ "learning_rate": 8.855421686746988e-05,
256
+ "loss": 0.0229,
257
+ "step": 370
258
+ },
259
+ {
260
+ "epoch": 2.29,
261
+ "learning_rate": 8.55421686746988e-05,
262
+ "loss": 0.0122,
263
+ "step": 380
264
+ },
265
+ {
266
+ "epoch": 2.35,
267
+ "learning_rate": 8.253012048192772e-05,
268
+ "loss": 0.0121,
269
+ "step": 390
270
+ },
271
+ {
272
+ "epoch": 2.41,
273
+ "learning_rate": 7.951807228915663e-05,
274
+ "loss": 0.0112,
275
+ "step": 400
276
+ },
277
+ {
278
+ "epoch": 2.41,
279
+ "eval_accuracy": 0.975609756097561,
280
+ "eval_loss": 0.10706935822963715,
281
+ "eval_runtime": 4.4577,
282
+ "eval_samples_per_second": 55.186,
283
+ "eval_steps_per_second": 6.954,
284
+ "step": 400
285
+ },
286
+ {
287
+ "epoch": 2.47,
288
+ "learning_rate": 7.650602409638555e-05,
289
+ "loss": 0.0269,
290
+ "step": 410
291
+ },
292
+ {
293
+ "epoch": 2.53,
294
+ "learning_rate": 7.349397590361447e-05,
295
+ "loss": 0.0119,
296
+ "step": 420
297
+ },
298
+ {
299
+ "epoch": 2.59,
300
+ "learning_rate": 7.048192771084337e-05,
301
+ "loss": 0.0346,
302
+ "step": 430
303
+ },
304
+ {
305
+ "epoch": 2.65,
306
+ "learning_rate": 6.746987951807229e-05,
307
+ "loss": 0.0104,
308
+ "step": 440
309
+ },
310
+ {
311
+ "epoch": 2.71,
312
+ "learning_rate": 6.445783132530121e-05,
313
+ "loss": 0.0101,
314
+ "step": 450
315
+ },
316
+ {
317
+ "epoch": 2.77,
318
+ "learning_rate": 6.144578313253012e-05,
319
+ "loss": 0.0114,
320
+ "step": 460
321
+ },
322
+ {
323
+ "epoch": 2.83,
324
+ "learning_rate": 5.843373493975904e-05,
325
+ "loss": 0.0098,
326
+ "step": 470
327
+ },
328
+ {
329
+ "epoch": 2.89,
330
+ "learning_rate": 5.5421686746987955e-05,
331
+ "loss": 0.0094,
332
+ "step": 480
333
+ },
334
+ {
335
+ "epoch": 2.95,
336
+ "learning_rate": 5.240963855421687e-05,
337
+ "loss": 0.0099,
338
+ "step": 490
339
+ },
340
+ {
341
+ "epoch": 3.01,
342
+ "learning_rate": 4.9397590361445786e-05,
343
+ "loss": 0.0092,
344
+ "step": 500
345
+ },
346
+ {
347
+ "epoch": 3.01,
348
+ "eval_accuracy": 0.983739837398374,
349
+ "eval_loss": 0.07279229909181595,
350
+ "eval_runtime": 4.7057,
351
+ "eval_samples_per_second": 52.277,
352
+ "eval_steps_per_second": 6.588,
353
+ "step": 500
354
+ },
355
+ {
356
+ "epoch": 3.07,
357
+ "learning_rate": 4.63855421686747e-05,
358
+ "loss": 0.009,
359
+ "step": 510
360
+ },
361
+ {
362
+ "epoch": 3.13,
363
+ "learning_rate": 4.337349397590362e-05,
364
+ "loss": 0.0089,
365
+ "step": 520
366
+ },
367
+ {
368
+ "epoch": 3.19,
369
+ "learning_rate": 4.036144578313254e-05,
370
+ "loss": 0.0087,
371
+ "step": 530
372
+ },
373
+ {
374
+ "epoch": 3.25,
375
+ "learning_rate": 3.734939759036144e-05,
376
+ "loss": 0.0085,
377
+ "step": 540
378
+ },
379
+ {
380
+ "epoch": 3.31,
381
+ "learning_rate": 3.433734939759036e-05,
382
+ "loss": 0.0083,
383
+ "step": 550
384
+ },
385
+ {
386
+ "epoch": 3.37,
387
+ "learning_rate": 3.132530120481928e-05,
388
+ "loss": 0.0082,
389
+ "step": 560
390
+ },
391
+ {
392
+ "epoch": 3.43,
393
+ "learning_rate": 2.8313253012048197e-05,
394
+ "loss": 0.0083,
395
+ "step": 570
396
+ },
397
+ {
398
+ "epoch": 3.49,
399
+ "learning_rate": 2.530120481927711e-05,
400
+ "loss": 0.0317,
401
+ "step": 580
402
+ },
403
+ {
404
+ "epoch": 3.55,
405
+ "learning_rate": 2.2289156626506025e-05,
406
+ "loss": 0.0079,
407
+ "step": 590
408
+ },
409
+ {
410
+ "epoch": 3.61,
411
+ "learning_rate": 1.927710843373494e-05,
412
+ "loss": 0.008,
413
+ "step": 600
414
+ },
415
+ {
416
+ "epoch": 3.61,
417
+ "eval_accuracy": 0.983739837398374,
418
+ "eval_loss": 0.08243442326784134,
419
+ "eval_runtime": 5.1012,
420
+ "eval_samples_per_second": 48.224,
421
+ "eval_steps_per_second": 6.077,
422
+ "step": 600
423
+ },
424
+ {
425
+ "epoch": 3.67,
426
+ "learning_rate": 1.6265060240963857e-05,
427
+ "loss": 0.0079,
428
+ "step": 610
429
+ },
430
+ {
431
+ "epoch": 3.73,
432
+ "learning_rate": 1.3253012048192772e-05,
433
+ "loss": 0.0079,
434
+ "step": 620
435
+ },
436
+ {
437
+ "epoch": 3.8,
438
+ "learning_rate": 1.0240963855421687e-05,
439
+ "loss": 0.0078,
440
+ "step": 630
441
+ },
442
+ {
443
+ "epoch": 3.86,
444
+ "learning_rate": 7.228915662650602e-06,
445
+ "loss": 0.0078,
446
+ "step": 640
447
+ },
448
+ {
449
+ "epoch": 3.92,
450
+ "learning_rate": 4.216867469879518e-06,
451
+ "loss": 0.0079,
452
+ "step": 650
453
+ },
454
+ {
455
+ "epoch": 3.98,
456
+ "learning_rate": 1.2048192771084338e-06,
457
+ "loss": 0.0078,
458
+ "step": 660
459
+ },
460
+ {
461
+ "epoch": 4.0,
462
+ "step": 664,
463
+ "total_flos": 8.220718640312156e+17,
464
+ "train_loss": 0.1065347370164222,
465
+ "train_runtime": 522.7169,
466
+ "train_samples_per_second": 20.294,
467
+ "train_steps_per_second": 1.27
468
+ }
469
+ ],
470
+ "max_steps": 664,
471
+ "num_train_epochs": 4,
472
+ "total_flos": 8.220718640312156e+17,
473
+ "trial_name": null,
474
+ "trial_params": null
475
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd31d16b513ace501de5df151442279b2d73d5929fca30d2a73c9d3c21bd89bd
3
+ size 3899