Santipab commited on
Commit
cef8045
·
verified ·
1 Parent(s): 14de10f

Upload 8 files

Browse files
config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/swin-base-patch4-window7-224-in22k",
3
+ "architectures": [
4
+ "SwinForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "depths": [
8
+ 2,
9
+ 2,
10
+ 18,
11
+ 2
12
+ ],
13
+ "drop_path_rate": 0.1,
14
+ "embed_dim": 128,
15
+ "encoder_stride": 32,
16
+ "hidden_act": "gelu",
17
+ "hidden_dropout_prob": 0.0,
18
+ "hidden_size": 1024,
19
+ "id2label": {
20
+ "0": "healthy",
21
+ "1": "parkinson"
22
+ },
23
+ "image_size": 224,
24
+ "initializer_range": 0.02,
25
+ "label2id": {
26
+ "healthy": 0,
27
+ "parkinson": 1
28
+ },
29
+ "layer_norm_eps": 1e-05,
30
+ "mlp_ratio": 4.0,
31
+ "model_type": "swin",
32
+ "num_channels": 3,
33
+ "num_heads": [
34
+ 4,
35
+ 8,
36
+ 16,
37
+ 32
38
+ ],
39
+ "num_layers": 4,
40
+ "out_features": [
41
+ "stage4"
42
+ ],
43
+ "out_indices": [
44
+ 4
45
+ ],
46
+ "patch_size": 4,
47
+ "path_norm": true,
48
+ "problem_type": "single_label_classification",
49
+ "qkv_bias": true,
50
+ "stage_names": [
51
+ "stem",
52
+ "stage1",
53
+ "stage2",
54
+ "stage3",
55
+ "stage4"
56
+ ],
57
+ "torch_dtype": "float32",
58
+ "transformers_version": "4.35.2",
59
+ "use_absolute_embeddings": false,
60
+ "window_size": 7
61
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc7ef455b8e803897db390fd97567a4ed977d7ea083d00eb07fd8802be877f2a
3
+ size 347498816
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:44377e7248f4e67dff8538c9f20790813c480baf9168156ce67c0932e013c0f5
3
+ size 694317645
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
+ 0.485,
7
+ 0.456,
8
+ 0.406
9
+ ],
10
+ "image_processor_type": "ViTImageProcessor",
11
+ "image_std": [
12
+ 0.229,
13
+ 0.224,
14
+ 0.225
15
+ ],
16
+ "resample": 3,
17
+ "rescale_factor": 0.00392156862745098,
18
+ "size": {
19
+ "height": 224,
20
+ "width": 224
21
+ }
22
+ }
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06f031f5270dbad7eb3b2e2354f13d6429f8510d692e24c1e33cacef94887c30
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb9311f5b96fda8aa83e66d73e74f4201f18e813a34360e4da010cd2c4bfeab2
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,1399 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.0,
3
+ "best_model_checkpoint": "./swin-soiral/checkpoint-72",
4
+ "epoch": 100.0,
5
+ "eval_steps": 500,
6
+ "global_step": 400,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "eval_accuracy": 0.5,
14
+ "eval_loss": 0.7685546875,
15
+ "eval_runtime": 0.2552,
16
+ "eval_samples_per_second": 47.013,
17
+ "eval_steps_per_second": 7.835,
18
+ "step": 4
19
+ },
20
+ {
21
+ "epoch": 1.25,
22
+ "learning_rate": 1.0000000000000002e-06,
23
+ "loss": 0.7776,
24
+ "step": 5
25
+ },
26
+ {
27
+ "epoch": 2.0,
28
+ "eval_accuracy": 0.5,
29
+ "eval_loss": 0.7459920048713684,
30
+ "eval_runtime": 0.2163,
31
+ "eval_samples_per_second": 55.485,
32
+ "eval_steps_per_second": 9.247,
33
+ "step": 8
34
+ },
35
+ {
36
+ "epoch": 2.5,
37
+ "learning_rate": 2.25e-06,
38
+ "loss": 0.7839,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 3.0,
43
+ "eval_accuracy": 0.5,
44
+ "eval_loss": 0.71142578125,
45
+ "eval_runtime": 0.2223,
46
+ "eval_samples_per_second": 53.982,
47
+ "eval_steps_per_second": 8.997,
48
+ "step": 12
49
+ },
50
+ {
51
+ "epoch": 3.75,
52
+ "learning_rate": 3.5e-06,
53
+ "loss": 0.6965,
54
+ "step": 15
55
+ },
56
+ {
57
+ "epoch": 4.0,
58
+ "eval_accuracy": 0.6666666666666666,
59
+ "eval_loss": 0.6708170771598816,
60
+ "eval_runtime": 0.1987,
61
+ "eval_samples_per_second": 60.404,
62
+ "eval_steps_per_second": 10.067,
63
+ "step": 16
64
+ },
65
+ {
66
+ "epoch": 5.0,
67
+ "learning_rate": 4.75e-06,
68
+ "loss": 0.6778,
69
+ "step": 20
70
+ },
71
+ {
72
+ "epoch": 5.0,
73
+ "eval_accuracy": 0.6666666666666666,
74
+ "eval_loss": 0.62982177734375,
75
+ "eval_runtime": 0.1998,
76
+ "eval_samples_per_second": 60.045,
77
+ "eval_steps_per_second": 10.008,
78
+ "step": 20
79
+ },
80
+ {
81
+ "epoch": 6.0,
82
+ "eval_accuracy": 0.6666666666666666,
83
+ "eval_loss": 0.5903117060661316,
84
+ "eval_runtime": 0.2941,
85
+ "eval_samples_per_second": 40.798,
86
+ "eval_steps_per_second": 6.8,
87
+ "step": 24
88
+ },
89
+ {
90
+ "epoch": 6.25,
91
+ "learning_rate": 6e-06,
92
+ "loss": 0.6297,
93
+ "step": 25
94
+ },
95
+ {
96
+ "epoch": 7.0,
97
+ "eval_accuracy": 0.75,
98
+ "eval_loss": 0.5383097529411316,
99
+ "eval_runtime": 0.2066,
100
+ "eval_samples_per_second": 58.089,
101
+ "eval_steps_per_second": 9.682,
102
+ "step": 28
103
+ },
104
+ {
105
+ "epoch": 7.5,
106
+ "learning_rate": 7.25e-06,
107
+ "loss": 0.5812,
108
+ "step": 30
109
+ },
110
+ {
111
+ "epoch": 8.0,
112
+ "eval_accuracy": 0.75,
113
+ "eval_loss": 0.4876708984375,
114
+ "eval_runtime": 0.2154,
115
+ "eval_samples_per_second": 55.709,
116
+ "eval_steps_per_second": 9.285,
117
+ "step": 32
118
+ },
119
+ {
120
+ "epoch": 8.75,
121
+ "learning_rate": 8.5e-06,
122
+ "loss": 0.5141,
123
+ "step": 35
124
+ },
125
+ {
126
+ "epoch": 9.0,
127
+ "eval_accuracy": 0.9166666666666666,
128
+ "eval_loss": 0.42340087890625,
129
+ "eval_runtime": 0.2045,
130
+ "eval_samples_per_second": 58.685,
131
+ "eval_steps_per_second": 9.781,
132
+ "step": 36
133
+ },
134
+ {
135
+ "epoch": 10.0,
136
+ "learning_rate": 9.75e-06,
137
+ "loss": 0.4186,
138
+ "step": 40
139
+ },
140
+ {
141
+ "epoch": 10.0,
142
+ "eval_accuracy": 0.9166666666666666,
143
+ "eval_loss": 0.3495737612247467,
144
+ "eval_runtime": 0.2143,
145
+ "eval_samples_per_second": 55.994,
146
+ "eval_steps_per_second": 9.332,
147
+ "step": 40
148
+ },
149
+ {
150
+ "epoch": 11.0,
151
+ "eval_accuracy": 0.8333333333333334,
152
+ "eval_loss": 0.2956085205078125,
153
+ "eval_runtime": 0.204,
154
+ "eval_samples_per_second": 58.832,
155
+ "eval_steps_per_second": 9.805,
156
+ "step": 44
157
+ },
158
+ {
159
+ "epoch": 11.25,
160
+ "learning_rate": 9.88888888888889e-06,
161
+ "loss": 0.3791,
162
+ "step": 45
163
+ },
164
+ {
165
+ "epoch": 12.0,
166
+ "eval_accuracy": 0.9166666666666666,
167
+ "eval_loss": 0.26324209570884705,
168
+ "eval_runtime": 0.2276,
169
+ "eval_samples_per_second": 52.73,
170
+ "eval_steps_per_second": 8.788,
171
+ "step": 48
172
+ },
173
+ {
174
+ "epoch": 12.5,
175
+ "learning_rate": 9.75e-06,
176
+ "loss": 0.2906,
177
+ "step": 50
178
+ },
179
+ {
180
+ "epoch": 13.0,
181
+ "eval_accuracy": 0.9166666666666666,
182
+ "eval_loss": 0.21923191845417023,
183
+ "eval_runtime": 0.2866,
184
+ "eval_samples_per_second": 41.866,
185
+ "eval_steps_per_second": 6.978,
186
+ "step": 52
187
+ },
188
+ {
189
+ "epoch": 13.75,
190
+ "learning_rate": 9.611111111111112e-06,
191
+ "loss": 0.2247,
192
+ "step": 55
193
+ },
194
+ {
195
+ "epoch": 14.0,
196
+ "eval_accuracy": 0.9166666666666666,
197
+ "eval_loss": 0.18271827697753906,
198
+ "eval_runtime": 0.2073,
199
+ "eval_samples_per_second": 57.879,
200
+ "eval_steps_per_second": 9.647,
201
+ "step": 56
202
+ },
203
+ {
204
+ "epoch": 15.0,
205
+ "learning_rate": 9.472222222222223e-06,
206
+ "loss": 0.1724,
207
+ "step": 60
208
+ },
209
+ {
210
+ "epoch": 15.0,
211
+ "eval_accuracy": 0.9166666666666666,
212
+ "eval_loss": 0.1536579132080078,
213
+ "eval_runtime": 0.3096,
214
+ "eval_samples_per_second": 38.763,
215
+ "eval_steps_per_second": 6.461,
216
+ "step": 60
217
+ },
218
+ {
219
+ "epoch": 16.0,
220
+ "eval_accuracy": 0.9166666666666666,
221
+ "eval_loss": 0.11898771673440933,
222
+ "eval_runtime": 0.207,
223
+ "eval_samples_per_second": 57.977,
224
+ "eval_steps_per_second": 9.663,
225
+ "step": 64
226
+ },
227
+ {
228
+ "epoch": 16.25,
229
+ "learning_rate": 9.333333333333334e-06,
230
+ "loss": 0.1077,
231
+ "step": 65
232
+ },
233
+ {
234
+ "epoch": 17.0,
235
+ "eval_accuracy": 0.9166666666666666,
236
+ "eval_loss": 0.12817128002643585,
237
+ "eval_runtime": 0.2101,
238
+ "eval_samples_per_second": 57.105,
239
+ "eval_steps_per_second": 9.517,
240
+ "step": 68
241
+ },
242
+ {
243
+ "epoch": 17.5,
244
+ "learning_rate": 9.194444444444445e-06,
245
+ "loss": 0.1336,
246
+ "step": 70
247
+ },
248
+ {
249
+ "epoch": 18.0,
250
+ "eval_accuracy": 1.0,
251
+ "eval_loss": 0.0798807144165039,
252
+ "eval_runtime": 0.3334,
253
+ "eval_samples_per_second": 35.996,
254
+ "eval_steps_per_second": 5.999,
255
+ "step": 72
256
+ },
257
+ {
258
+ "epoch": 18.75,
259
+ "learning_rate": 9.083333333333333e-06,
260
+ "loss": 0.0656,
261
+ "step": 75
262
+ },
263
+ {
264
+ "epoch": 19.0,
265
+ "eval_accuracy": 1.0,
266
+ "eval_loss": 0.05580584332346916,
267
+ "eval_runtime": 0.206,
268
+ "eval_samples_per_second": 58.24,
269
+ "eval_steps_per_second": 9.707,
270
+ "step": 76
271
+ },
272
+ {
273
+ "epoch": 20.0,
274
+ "learning_rate": 8.944444444444446e-06,
275
+ "loss": 0.0564,
276
+ "step": 80
277
+ },
278
+ {
279
+ "epoch": 20.0,
280
+ "eval_accuracy": 1.0,
281
+ "eval_loss": 0.046213943511247635,
282
+ "eval_runtime": 0.3162,
283
+ "eval_samples_per_second": 37.95,
284
+ "eval_steps_per_second": 6.325,
285
+ "step": 80
286
+ },
287
+ {
288
+ "epoch": 21.0,
289
+ "eval_accuracy": 1.0,
290
+ "eval_loss": 0.05256287381052971,
291
+ "eval_runtime": 0.2134,
292
+ "eval_samples_per_second": 56.23,
293
+ "eval_steps_per_second": 9.372,
294
+ "step": 84
295
+ },
296
+ {
297
+ "epoch": 21.25,
298
+ "learning_rate": 8.805555555555557e-06,
299
+ "loss": 0.0703,
300
+ "step": 85
301
+ },
302
+ {
303
+ "epoch": 22.0,
304
+ "eval_accuracy": 1.0,
305
+ "eval_loss": 0.03809436038136482,
306
+ "eval_runtime": 0.2,
307
+ "eval_samples_per_second": 60.004,
308
+ "eval_steps_per_second": 10.001,
309
+ "step": 88
310
+ },
311
+ {
312
+ "epoch": 22.5,
313
+ "learning_rate": 8.666666666666668e-06,
314
+ "loss": 0.044,
315
+ "step": 90
316
+ },
317
+ {
318
+ "epoch": 23.0,
319
+ "eval_accuracy": 1.0,
320
+ "eval_loss": 0.01835465431213379,
321
+ "eval_runtime": 0.1962,
322
+ "eval_samples_per_second": 61.174,
323
+ "eval_steps_per_second": 10.196,
324
+ "step": 92
325
+ },
326
+ {
327
+ "epoch": 23.75,
328
+ "learning_rate": 8.527777777777779e-06,
329
+ "loss": 0.0239,
330
+ "step": 95
331
+ },
332
+ {
333
+ "epoch": 24.0,
334
+ "eval_accuracy": 1.0,
335
+ "eval_loss": 0.020169338211417198,
336
+ "eval_runtime": 0.2151,
337
+ "eval_samples_per_second": 55.779,
338
+ "eval_steps_per_second": 9.297,
339
+ "step": 96
340
+ },
341
+ {
342
+ "epoch": 25.0,
343
+ "learning_rate": 8.38888888888889e-06,
344
+ "loss": 0.0214,
345
+ "step": 100
346
+ },
347
+ {
348
+ "epoch": 25.0,
349
+ "eval_accuracy": 1.0,
350
+ "eval_loss": 0.024330079555511475,
351
+ "eval_runtime": 0.2292,
352
+ "eval_samples_per_second": 52.363,
353
+ "eval_steps_per_second": 8.727,
354
+ "step": 100
355
+ },
356
+ {
357
+ "epoch": 26.0,
358
+ "eval_accuracy": 1.0,
359
+ "eval_loss": 0.011685073375701904,
360
+ "eval_runtime": 0.2099,
361
+ "eval_samples_per_second": 57.169,
362
+ "eval_steps_per_second": 9.528,
363
+ "step": 104
364
+ },
365
+ {
366
+ "epoch": 26.25,
367
+ "learning_rate": 8.25e-06,
368
+ "loss": 0.031,
369
+ "step": 105
370
+ },
371
+ {
372
+ "epoch": 27.0,
373
+ "eval_accuracy": 1.0,
374
+ "eval_loss": 0.008951862342655659,
375
+ "eval_runtime": 0.2024,
376
+ "eval_samples_per_second": 59.277,
377
+ "eval_steps_per_second": 9.88,
378
+ "step": 108
379
+ },
380
+ {
381
+ "epoch": 27.5,
382
+ "learning_rate": 8.111111111111112e-06,
383
+ "loss": 0.0334,
384
+ "step": 110
385
+ },
386
+ {
387
+ "epoch": 28.0,
388
+ "eval_accuracy": 1.0,
389
+ "eval_loss": 0.03853602334856987,
390
+ "eval_runtime": 0.2061,
391
+ "eval_samples_per_second": 58.221,
392
+ "eval_steps_per_second": 9.703,
393
+ "step": 112
394
+ },
395
+ {
396
+ "epoch": 28.75,
397
+ "learning_rate": 7.972222222222224e-06,
398
+ "loss": 0.0046,
399
+ "step": 115
400
+ },
401
+ {
402
+ "epoch": 29.0,
403
+ "eval_accuracy": 1.0,
404
+ "eval_loss": 0.03924691677093506,
405
+ "eval_runtime": 0.3171,
406
+ "eval_samples_per_second": 37.847,
407
+ "eval_steps_per_second": 6.308,
408
+ "step": 116
409
+ },
410
+ {
411
+ "epoch": 30.0,
412
+ "learning_rate": 7.833333333333333e-06,
413
+ "loss": 0.0051,
414
+ "step": 120
415
+ },
416
+ {
417
+ "epoch": 30.0,
418
+ "eval_accuracy": 1.0,
419
+ "eval_loss": 0.0031117696780711412,
420
+ "eval_runtime": 0.217,
421
+ "eval_samples_per_second": 55.303,
422
+ "eval_steps_per_second": 9.217,
423
+ "step": 120
424
+ },
425
+ {
426
+ "epoch": 31.0,
427
+ "eval_accuracy": 1.0,
428
+ "eval_loss": 0.0025899012107402086,
429
+ "eval_runtime": 0.318,
430
+ "eval_samples_per_second": 37.734,
431
+ "eval_steps_per_second": 6.289,
432
+ "step": 124
433
+ },
434
+ {
435
+ "epoch": 31.25,
436
+ "learning_rate": 7.694444444444446e-06,
437
+ "loss": 0.0045,
438
+ "step": 125
439
+ },
440
+ {
441
+ "epoch": 32.0,
442
+ "eval_accuracy": 1.0,
443
+ "eval_loss": 0.002510249614715576,
444
+ "eval_runtime": 0.2034,
445
+ "eval_samples_per_second": 58.986,
446
+ "eval_steps_per_second": 9.831,
447
+ "step": 128
448
+ },
449
+ {
450
+ "epoch": 32.5,
451
+ "learning_rate": 7.555555555555556e-06,
452
+ "loss": 0.0133,
453
+ "step": 130
454
+ },
455
+ {
456
+ "epoch": 33.0,
457
+ "eval_accuracy": 0.9166666666666666,
458
+ "eval_loss": 0.07476559281349182,
459
+ "eval_runtime": 0.2934,
460
+ "eval_samples_per_second": 40.893,
461
+ "eval_steps_per_second": 6.816,
462
+ "step": 132
463
+ },
464
+ {
465
+ "epoch": 33.75,
466
+ "learning_rate": 7.416666666666668e-06,
467
+ "loss": 0.0014,
468
+ "step": 135
469
+ },
470
+ {
471
+ "epoch": 34.0,
472
+ "eval_accuracy": 0.9166666666666666,
473
+ "eval_loss": 0.16315531730651855,
474
+ "eval_runtime": 0.2053,
475
+ "eval_samples_per_second": 58.463,
476
+ "eval_steps_per_second": 9.744,
477
+ "step": 136
478
+ },
479
+ {
480
+ "epoch": 35.0,
481
+ "learning_rate": 7.277777777777778e-06,
482
+ "loss": 0.0134,
483
+ "step": 140
484
+ },
485
+ {
486
+ "epoch": 35.0,
487
+ "eval_accuracy": 1.0,
488
+ "eval_loss": 0.006152550224214792,
489
+ "eval_runtime": 0.2135,
490
+ "eval_samples_per_second": 56.219,
491
+ "eval_steps_per_second": 9.37,
492
+ "step": 140
493
+ },
494
+ {
495
+ "epoch": 36.0,
496
+ "eval_accuracy": 1.0,
497
+ "eval_loss": 0.005291670560836792,
498
+ "eval_runtime": 0.2054,
499
+ "eval_samples_per_second": 58.422,
500
+ "eval_steps_per_second": 9.737,
501
+ "step": 144
502
+ },
503
+ {
504
+ "epoch": 36.25,
505
+ "learning_rate": 7.13888888888889e-06,
506
+ "loss": 0.0365,
507
+ "step": 145
508
+ },
509
+ {
510
+ "epoch": 37.0,
511
+ "eval_accuracy": 1.0,
512
+ "eval_loss": 0.0365130789577961,
513
+ "eval_runtime": 0.2268,
514
+ "eval_samples_per_second": 52.911,
515
+ "eval_steps_per_second": 8.819,
516
+ "step": 148
517
+ },
518
+ {
519
+ "epoch": 37.5,
520
+ "learning_rate": 7e-06,
521
+ "loss": 0.001,
522
+ "step": 150
523
+ },
524
+ {
525
+ "epoch": 38.0,
526
+ "eval_accuracy": 1.0,
527
+ "eval_loss": 0.0017459988594055176,
528
+ "eval_runtime": 0.2143,
529
+ "eval_samples_per_second": 56.005,
530
+ "eval_steps_per_second": 9.334,
531
+ "step": 152
532
+ },
533
+ {
534
+ "epoch": 38.75,
535
+ "learning_rate": 6.88888888888889e-06,
536
+ "loss": 0.0503,
537
+ "step": 155
538
+ },
539
+ {
540
+ "epoch": 39.0,
541
+ "eval_accuracy": 1.0,
542
+ "eval_loss": 0.05090367794036865,
543
+ "eval_runtime": 0.208,
544
+ "eval_samples_per_second": 57.695,
545
+ "eval_steps_per_second": 9.616,
546
+ "step": 156
547
+ },
548
+ {
549
+ "epoch": 40.0,
550
+ "learning_rate": 6.750000000000001e-06,
551
+ "loss": 0.0094,
552
+ "step": 160
553
+ },
554
+ {
555
+ "epoch": 40.0,
556
+ "eval_accuracy": 0.9166666666666666,
557
+ "eval_loss": 0.07808921486139297,
558
+ "eval_runtime": 0.2086,
559
+ "eval_samples_per_second": 57.523,
560
+ "eval_steps_per_second": 9.587,
561
+ "step": 160
562
+ },
563
+ {
564
+ "epoch": 41.0,
565
+ "eval_accuracy": 0.9166666666666666,
566
+ "eval_loss": 0.22892427444458008,
567
+ "eval_runtime": 0.2158,
568
+ "eval_samples_per_second": 55.599,
569
+ "eval_steps_per_second": 9.267,
570
+ "step": 164
571
+ },
572
+ {
573
+ "epoch": 41.25,
574
+ "learning_rate": 6.6111111111111115e-06,
575
+ "loss": 0.0231,
576
+ "step": 165
577
+ },
578
+ {
579
+ "epoch": 42.0,
580
+ "eval_accuracy": 0.9166666666666666,
581
+ "eval_loss": 0.16741518676280975,
582
+ "eval_runtime": 0.2199,
583
+ "eval_samples_per_second": 54.565,
584
+ "eval_steps_per_second": 9.094,
585
+ "step": 168
586
+ },
587
+ {
588
+ "epoch": 42.5,
589
+ "learning_rate": 6.472222222222223e-06,
590
+ "loss": 0.0002,
591
+ "step": 170
592
+ },
593
+ {
594
+ "epoch": 43.0,
595
+ "eval_accuracy": 0.9166666666666666,
596
+ "eval_loss": 0.25974369049072266,
597
+ "eval_runtime": 0.297,
598
+ "eval_samples_per_second": 40.411,
599
+ "eval_steps_per_second": 6.735,
600
+ "step": 172
601
+ },
602
+ {
603
+ "epoch": 43.75,
604
+ "learning_rate": 6.333333333333333e-06,
605
+ "loss": 0.0785,
606
+ "step": 175
607
+ },
608
+ {
609
+ "epoch": 44.0,
610
+ "eval_accuracy": 0.9166666666666666,
611
+ "eval_loss": 0.2814592123031616,
612
+ "eval_runtime": 0.1943,
613
+ "eval_samples_per_second": 61.754,
614
+ "eval_steps_per_second": 10.292,
615
+ "step": 176
616
+ },
617
+ {
618
+ "epoch": 45.0,
619
+ "learning_rate": 6.194444444444445e-06,
620
+ "loss": 0.0009,
621
+ "step": 180
622
+ },
623
+ {
624
+ "epoch": 45.0,
625
+ "eval_accuracy": 0.9166666666666666,
626
+ "eval_loss": 0.2058378905057907,
627
+ "eval_runtime": 0.3052,
628
+ "eval_samples_per_second": 39.313,
629
+ "eval_steps_per_second": 6.552,
630
+ "step": 180
631
+ },
632
+ {
633
+ "epoch": 46.0,
634
+ "eval_accuracy": 1.0,
635
+ "eval_loss": 0.000926971435546875,
636
+ "eval_runtime": 0.2098,
637
+ "eval_samples_per_second": 57.192,
638
+ "eval_steps_per_second": 9.532,
639
+ "step": 184
640
+ },
641
+ {
642
+ "epoch": 46.25,
643
+ "learning_rate": 6.055555555555555e-06,
644
+ "loss": 0.0395,
645
+ "step": 185
646
+ },
647
+ {
648
+ "epoch": 47.0,
649
+ "eval_accuracy": 1.0,
650
+ "eval_loss": 0.0010882416972890496,
651
+ "eval_runtime": 0.3081,
652
+ "eval_samples_per_second": 38.948,
653
+ "eval_steps_per_second": 6.491,
654
+ "step": 188
655
+ },
656
+ {
657
+ "epoch": 47.5,
658
+ "learning_rate": 5.916666666666667e-06,
659
+ "loss": 0.0158,
660
+ "step": 190
661
+ },
662
+ {
663
+ "epoch": 48.0,
664
+ "eval_accuracy": 1.0,
665
+ "eval_loss": 0.000389377266401425,
666
+ "eval_runtime": 0.2087,
667
+ "eval_samples_per_second": 57.493,
668
+ "eval_steps_per_second": 9.582,
669
+ "step": 192
670
+ },
671
+ {
672
+ "epoch": 48.75,
673
+ "learning_rate": 5.777777777777778e-06,
674
+ "loss": 0.001,
675
+ "step": 195
676
+ },
677
+ {
678
+ "epoch": 49.0,
679
+ "eval_accuracy": 1.0,
680
+ "eval_loss": 0.0034777026157826185,
681
+ "eval_runtime": 0.2113,
682
+ "eval_samples_per_second": 56.801,
683
+ "eval_steps_per_second": 9.467,
684
+ "step": 196
685
+ },
686
+ {
687
+ "epoch": 50.0,
688
+ "learning_rate": 5.638888888888889e-06,
689
+ "loss": 0.0027,
690
+ "step": 200
691
+ },
692
+ {
693
+ "epoch": 50.0,
694
+ "eval_accuracy": 1.0,
695
+ "eval_loss": 0.0018774966010823846,
696
+ "eval_runtime": 0.1971,
697
+ "eval_samples_per_second": 60.883,
698
+ "eval_steps_per_second": 10.147,
699
+ "step": 200
700
+ },
701
+ {
702
+ "epoch": 51.0,
703
+ "eval_accuracy": 1.0,
704
+ "eval_loss": 0.0005501409177668393,
705
+ "eval_runtime": 0.2093,
706
+ "eval_samples_per_second": 57.332,
707
+ "eval_steps_per_second": 9.555,
708
+ "step": 204
709
+ },
710
+ {
711
+ "epoch": 51.25,
712
+ "learning_rate": 5.500000000000001e-06,
713
+ "loss": 0.0005,
714
+ "step": 205
715
+ },
716
+ {
717
+ "epoch": 52.0,
718
+ "eval_accuracy": 1.0,
719
+ "eval_loss": 0.0013666549930348992,
720
+ "eval_runtime": 0.2027,
721
+ "eval_samples_per_second": 59.215,
722
+ "eval_steps_per_second": 9.869,
723
+ "step": 208
724
+ },
725
+ {
726
+ "epoch": 52.5,
727
+ "learning_rate": 5.361111111111112e-06,
728
+ "loss": 0.003,
729
+ "step": 210
730
+ },
731
+ {
732
+ "epoch": 53.0,
733
+ "eval_accuracy": 1.0,
734
+ "eval_loss": 0.0018307765712961555,
735
+ "eval_runtime": 0.2153,
736
+ "eval_samples_per_second": 55.739,
737
+ "eval_steps_per_second": 9.29,
738
+ "step": 212
739
+ },
740
+ {
741
+ "epoch": 53.75,
742
+ "learning_rate": 5.2222222222222226e-06,
743
+ "loss": 0.0039,
744
+ "step": 215
745
+ },
746
+ {
747
+ "epoch": 54.0,
748
+ "eval_accuracy": 1.0,
749
+ "eval_loss": 0.01105162501335144,
750
+ "eval_runtime": 0.2005,
751
+ "eval_samples_per_second": 59.849,
752
+ "eval_steps_per_second": 9.975,
753
+ "step": 216
754
+ },
755
+ {
756
+ "epoch": 55.0,
757
+ "learning_rate": 5.0833333333333335e-06,
758
+ "loss": 0.0081,
759
+ "step": 220
760
+ },
761
+ {
762
+ "epoch": 55.0,
763
+ "eval_accuracy": 1.0,
764
+ "eval_loss": 0.021254947409033775,
765
+ "eval_runtime": 0.2174,
766
+ "eval_samples_per_second": 55.192,
767
+ "eval_steps_per_second": 9.199,
768
+ "step": 220
769
+ },
770
+ {
771
+ "epoch": 56.0,
772
+ "eval_accuracy": 1.0,
773
+ "eval_loss": 0.014328837394714355,
774
+ "eval_runtime": 0.2399,
775
+ "eval_samples_per_second": 50.017,
776
+ "eval_steps_per_second": 8.336,
777
+ "step": 224
778
+ },
779
+ {
780
+ "epoch": 56.25,
781
+ "learning_rate": 4.944444444444445e-06,
782
+ "loss": 0.0001,
783
+ "step": 225
784
+ },
785
+ {
786
+ "epoch": 57.0,
787
+ "eval_accuracy": 1.0,
788
+ "eval_loss": 0.00964482594281435,
789
+ "eval_runtime": 0.2188,
790
+ "eval_samples_per_second": 54.838,
791
+ "eval_steps_per_second": 9.14,
792
+ "step": 228
793
+ },
794
+ {
795
+ "epoch": 57.5,
796
+ "learning_rate": 4.805555555555556e-06,
797
+ "loss": 0.0002,
798
+ "step": 230
799
+ },
800
+ {
801
+ "epoch": 58.0,
802
+ "eval_accuracy": 1.0,
803
+ "eval_loss": 0.0017709335079416633,
804
+ "eval_runtime": 0.2916,
805
+ "eval_samples_per_second": 41.158,
806
+ "eval_steps_per_second": 6.86,
807
+ "step": 232
808
+ },
809
+ {
810
+ "epoch": 58.75,
811
+ "learning_rate": 4.666666666666667e-06,
812
+ "loss": 0.0035,
813
+ "step": 235
814
+ },
815
+ {
816
+ "epoch": 59.0,
817
+ "eval_accuracy": 1.0,
818
+ "eval_loss": 0.0005045731668360531,
819
+ "eval_runtime": 0.2036,
820
+ "eval_samples_per_second": 58.93,
821
+ "eval_steps_per_second": 9.822,
822
+ "step": 236
823
+ },
824
+ {
825
+ "epoch": 60.0,
826
+ "learning_rate": 4.527777777777778e-06,
827
+ "loss": 0.0049,
828
+ "step": 240
829
+ },
830
+ {
831
+ "epoch": 60.0,
832
+ "eval_accuracy": 1.0,
833
+ "eval_loss": 0.0014440218219533563,
834
+ "eval_runtime": 0.3276,
835
+ "eval_samples_per_second": 36.631,
836
+ "eval_steps_per_second": 6.105,
837
+ "step": 240
838
+ },
839
+ {
840
+ "epoch": 61.0,
841
+ "eval_accuracy": 1.0,
842
+ "eval_loss": 0.0020179252605885267,
843
+ "eval_runtime": 0.2179,
844
+ "eval_samples_per_second": 55.076,
845
+ "eval_steps_per_second": 9.179,
846
+ "step": 244
847
+ },
848
+ {
849
+ "epoch": 61.25,
850
+ "learning_rate": 4.388888888888889e-06,
851
+ "loss": 0.0006,
852
+ "step": 245
853
+ },
854
+ {
855
+ "epoch": 62.0,
856
+ "eval_accuracy": 1.0,
857
+ "eval_loss": 0.0003785987792070955,
858
+ "eval_runtime": 0.2267,
859
+ "eval_samples_per_second": 52.937,
860
+ "eval_steps_per_second": 8.823,
861
+ "step": 248
862
+ },
863
+ {
864
+ "epoch": 62.5,
865
+ "learning_rate": 4.25e-06,
866
+ "loss": 0.0001,
867
+ "step": 250
868
+ },
869
+ {
870
+ "epoch": 63.0,
871
+ "eval_accuracy": 1.0,
872
+ "eval_loss": 0.00021861989807803184,
873
+ "eval_runtime": 0.2108,
874
+ "eval_samples_per_second": 56.934,
875
+ "eval_steps_per_second": 9.489,
876
+ "step": 252
877
+ },
878
+ {
879
+ "epoch": 63.75,
880
+ "learning_rate": 4.111111111111111e-06,
881
+ "loss": 0.0272,
882
+ "step": 255
883
+ },
884
+ {
885
+ "epoch": 64.0,
886
+ "eval_accuracy": 1.0,
887
+ "eval_loss": 0.0002175172121496871,
888
+ "eval_runtime": 0.2182,
889
+ "eval_samples_per_second": 55.001,
890
+ "eval_steps_per_second": 9.167,
891
+ "step": 256
892
+ },
893
+ {
894
+ "epoch": 65.0,
895
+ "learning_rate": 3.972222222222223e-06,
896
+ "loss": 0.0016,
897
+ "step": 260
898
+ },
899
+ {
900
+ "epoch": 65.0,
901
+ "eval_accuracy": 1.0,
902
+ "eval_loss": 0.0003321866097394377,
903
+ "eval_runtime": 0.1986,
904
+ "eval_samples_per_second": 60.421,
905
+ "eval_steps_per_second": 10.07,
906
+ "step": 260
907
+ },
908
+ {
909
+ "epoch": 66.0,
910
+ "eval_accuracy": 1.0,
911
+ "eval_loss": 0.0012783011188730597,
912
+ "eval_runtime": 0.2135,
913
+ "eval_samples_per_second": 56.201,
914
+ "eval_steps_per_second": 9.367,
915
+ "step": 264
916
+ },
917
+ {
918
+ "epoch": 66.25,
919
+ "learning_rate": 3.833333333333334e-06,
920
+ "loss": 0.0002,
921
+ "step": 265
922
+ },
923
+ {
924
+ "epoch": 67.0,
925
+ "eval_accuracy": 1.0,
926
+ "eval_loss": 0.004446456674486399,
927
+ "eval_runtime": 0.2127,
928
+ "eval_samples_per_second": 56.422,
929
+ "eval_steps_per_second": 9.404,
930
+ "step": 268
931
+ },
932
+ {
933
+ "epoch": 67.5,
934
+ "learning_rate": 3.694444444444445e-06,
935
+ "loss": 0.0001,
936
+ "step": 270
937
+ },
938
+ {
939
+ "epoch": 68.0,
940
+ "eval_accuracy": 1.0,
941
+ "eval_loss": 0.013481984846293926,
942
+ "eval_runtime": 0.2043,
943
+ "eval_samples_per_second": 58.732,
944
+ "eval_steps_per_second": 9.789,
945
+ "step": 272
946
+ },
947
+ {
948
+ "epoch": 68.75,
949
+ "learning_rate": 3.555555555555556e-06,
950
+ "loss": 0.0002,
951
+ "step": 275
952
+ },
953
+ {
954
+ "epoch": 69.0,
955
+ "eval_accuracy": 1.0,
956
+ "eval_loss": 0.012796193361282349,
957
+ "eval_runtime": 0.2261,
958
+ "eval_samples_per_second": 53.079,
959
+ "eval_steps_per_second": 8.846,
960
+ "step": 276
961
+ },
962
+ {
963
+ "epoch": 70.0,
964
+ "learning_rate": 3.416666666666667e-06,
965
+ "loss": 0.0002,
966
+ "step": 280
967
+ },
968
+ {
969
+ "epoch": 70.0,
970
+ "eval_accuracy": 1.0,
971
+ "eval_loss": 0.01079349685460329,
972
+ "eval_runtime": 0.1991,
973
+ "eval_samples_per_second": 60.277,
974
+ "eval_steps_per_second": 10.046,
975
+ "step": 280
976
+ },
977
+ {
978
+ "epoch": 71.0,
979
+ "eval_accuracy": 1.0,
980
+ "eval_loss": 0.008993417024612427,
981
+ "eval_runtime": 0.2933,
982
+ "eval_samples_per_second": 40.92,
983
+ "eval_steps_per_second": 6.82,
984
+ "step": 284
985
+ },
986
+ {
987
+ "epoch": 71.25,
988
+ "learning_rate": 3.277777777777778e-06,
989
+ "loss": 0.0001,
990
+ "step": 285
991
+ },
992
+ {
993
+ "epoch": 72.0,
994
+ "eval_accuracy": 1.0,
995
+ "eval_loss": 0.006850639823824167,
996
+ "eval_runtime": 0.2074,
997
+ "eval_samples_per_second": 57.85,
998
+ "eval_steps_per_second": 9.642,
999
+ "step": 288
1000
+ },
1001
+ {
1002
+ "epoch": 72.5,
1003
+ "learning_rate": 3.138888888888889e-06,
1004
+ "loss": 0.0001,
1005
+ "step": 290
1006
+ },
1007
+ {
1008
+ "epoch": 73.0,
1009
+ "eval_accuracy": 1.0,
1010
+ "eval_loss": 0.0049311816692352295,
1011
+ "eval_runtime": 0.2813,
1012
+ "eval_samples_per_second": 42.663,
1013
+ "eval_steps_per_second": 7.111,
1014
+ "step": 292
1015
+ },
1016
+ {
1017
+ "epoch": 73.75,
1018
+ "learning_rate": 3e-06,
1019
+ "loss": 0.0002,
1020
+ "step": 295
1021
+ },
1022
+ {
1023
+ "epoch": 74.0,
1024
+ "eval_accuracy": 1.0,
1025
+ "eval_loss": 0.0031823813915252686,
1026
+ "eval_runtime": 0.2076,
1027
+ "eval_samples_per_second": 57.79,
1028
+ "eval_steps_per_second": 9.632,
1029
+ "step": 296
1030
+ },
1031
+ {
1032
+ "epoch": 75.0,
1033
+ "learning_rate": 2.861111111111111e-06,
1034
+ "loss": 0.0,
1035
+ "step": 300
1036
+ },
1037
+ {
1038
+ "epoch": 75.0,
1039
+ "eval_accuracy": 1.0,
1040
+ "eval_loss": 0.0018174747237935662,
1041
+ "eval_runtime": 0.1974,
1042
+ "eval_samples_per_second": 60.778,
1043
+ "eval_steps_per_second": 10.13,
1044
+ "step": 300
1045
+ },
1046
+ {
1047
+ "epoch": 76.0,
1048
+ "eval_accuracy": 1.0,
1049
+ "eval_loss": 0.0033631324768066406,
1050
+ "eval_runtime": 0.2244,
1051
+ "eval_samples_per_second": 53.472,
1052
+ "eval_steps_per_second": 8.912,
1053
+ "step": 304
1054
+ },
1055
+ {
1056
+ "epoch": 76.25,
1057
+ "learning_rate": 2.7222222222222224e-06,
1058
+ "loss": 0.0003,
1059
+ "step": 305
1060
+ },
1061
+ {
1062
+ "epoch": 77.0,
1063
+ "eval_accuracy": 1.0,
1064
+ "eval_loss": 0.005034655332565308,
1065
+ "eval_runtime": 0.2054,
1066
+ "eval_samples_per_second": 58.436,
1067
+ "eval_steps_per_second": 9.739,
1068
+ "step": 308
1069
+ },
1070
+ {
1071
+ "epoch": 77.5,
1072
+ "learning_rate": 2.5833333333333337e-06,
1073
+ "loss": 0.0001,
1074
+ "step": 310
1075
+ },
1076
+ {
1077
+ "epoch": 78.0,
1078
+ "eval_accuracy": 1.0,
1079
+ "eval_loss": 0.0060021779499948025,
1080
+ "eval_runtime": 0.2165,
1081
+ "eval_samples_per_second": 55.438,
1082
+ "eval_steps_per_second": 9.24,
1083
+ "step": 312
1084
+ },
1085
+ {
1086
+ "epoch": 78.75,
1087
+ "learning_rate": 2.4444444444444447e-06,
1088
+ "loss": 0.0,
1089
+ "step": 315
1090
+ },
1091
+ {
1092
+ "epoch": 79.0,
1093
+ "eval_accuracy": 1.0,
1094
+ "eval_loss": 0.006388425827026367,
1095
+ "eval_runtime": 0.2076,
1096
+ "eval_samples_per_second": 57.793,
1097
+ "eval_steps_per_second": 9.632,
1098
+ "step": 316
1099
+ },
1100
+ {
1101
+ "epoch": 80.0,
1102
+ "learning_rate": 2.305555555555556e-06,
1103
+ "loss": 0.0001,
1104
+ "step": 320
1105
+ },
1106
+ {
1107
+ "epoch": 80.0,
1108
+ "eval_accuracy": 1.0,
1109
+ "eval_loss": 0.0061742267571389675,
1110
+ "eval_runtime": 0.2188,
1111
+ "eval_samples_per_second": 54.852,
1112
+ "eval_steps_per_second": 9.142,
1113
+ "step": 320
1114
+ },
1115
+ {
1116
+ "epoch": 81.0,
1117
+ "eval_accuracy": 1.0,
1118
+ "eval_loss": 0.005842983722686768,
1119
+ "eval_runtime": 0.2181,
1120
+ "eval_samples_per_second": 55.023,
1121
+ "eval_steps_per_second": 9.171,
1122
+ "step": 324
1123
+ },
1124
+ {
1125
+ "epoch": 81.25,
1126
+ "learning_rate": 2.166666666666667e-06,
1127
+ "loss": 0.0001,
1128
+ "step": 325
1129
+ },
1130
+ {
1131
+ "epoch": 82.0,
1132
+ "eval_accuracy": 1.0,
1133
+ "eval_loss": 0.0059954822063446045,
1134
+ "eval_runtime": 0.2026,
1135
+ "eval_samples_per_second": 59.232,
1136
+ "eval_steps_per_second": 9.872,
1137
+ "step": 328
1138
+ },
1139
+ {
1140
+ "epoch": 82.5,
1141
+ "learning_rate": 2.027777777777778e-06,
1142
+ "loss": 0.0001,
1143
+ "step": 330
1144
+ },
1145
+ {
1146
+ "epoch": 83.0,
1147
+ "eval_accuracy": 1.0,
1148
+ "eval_loss": 0.006137927528470755,
1149
+ "eval_runtime": 0.2087,
1150
+ "eval_samples_per_second": 57.509,
1151
+ "eval_steps_per_second": 9.585,
1152
+ "step": 332
1153
+ },
1154
+ {
1155
+ "epoch": 83.75,
1156
+ "learning_rate": 1.888888888888889e-06,
1157
+ "loss": 0.0,
1158
+ "step": 335
1159
+ },
1160
+ {
1161
+ "epoch": 84.0,
1162
+ "eval_accuracy": 1.0,
1163
+ "eval_loss": 0.007910847663879395,
1164
+ "eval_runtime": 0.2136,
1165
+ "eval_samples_per_second": 56.177,
1166
+ "eval_steps_per_second": 9.363,
1167
+ "step": 336
1168
+ },
1169
+ {
1170
+ "epoch": 85.0,
1171
+ "learning_rate": 1.75e-06,
1172
+ "loss": 0.0005,
1173
+ "step": 340
1174
+ },
1175
+ {
1176
+ "epoch": 85.0,
1177
+ "eval_accuracy": 1.0,
1178
+ "eval_loss": 0.012745578773319721,
1179
+ "eval_runtime": 0.2199,
1180
+ "eval_samples_per_second": 54.578,
1181
+ "eval_steps_per_second": 9.096,
1182
+ "step": 340
1183
+ },
1184
+ {
1185
+ "epoch": 86.0,
1186
+ "eval_accuracy": 1.0,
1187
+ "eval_loss": 0.021893838420510292,
1188
+ "eval_runtime": 0.2149,
1189
+ "eval_samples_per_second": 55.845,
1190
+ "eval_steps_per_second": 9.307,
1191
+ "step": 344
1192
+ },
1193
+ {
1194
+ "epoch": 86.25,
1195
+ "learning_rate": 1.6111111111111113e-06,
1196
+ "loss": 0.0002,
1197
+ "step": 345
1198
+ },
1199
+ {
1200
+ "epoch": 87.0,
1201
+ "eval_accuracy": 1.0,
1202
+ "eval_loss": 0.031531721353530884,
1203
+ "eval_runtime": 0.2233,
1204
+ "eval_samples_per_second": 53.743,
1205
+ "eval_steps_per_second": 8.957,
1206
+ "step": 348
1207
+ },
1208
+ {
1209
+ "epoch": 87.5,
1210
+ "learning_rate": 1.4722222222222225e-06,
1211
+ "loss": 0.0001,
1212
+ "step": 350
1213
+ },
1214
+ {
1215
+ "epoch": 88.0,
1216
+ "eval_accuracy": 1.0,
1217
+ "eval_loss": 0.03811268135905266,
1218
+ "eval_runtime": 0.2096,
1219
+ "eval_samples_per_second": 57.255,
1220
+ "eval_steps_per_second": 9.542,
1221
+ "step": 352
1222
+ },
1223
+ {
1224
+ "epoch": 88.75,
1225
+ "learning_rate": 1.3333333333333334e-06,
1226
+ "loss": 0.0001,
1227
+ "step": 355
1228
+ },
1229
+ {
1230
+ "epoch": 89.0,
1231
+ "eval_accuracy": 1.0,
1232
+ "eval_loss": 0.04021235182881355,
1233
+ "eval_runtime": 0.2105,
1234
+ "eval_samples_per_second": 57.008,
1235
+ "eval_steps_per_second": 9.501,
1236
+ "step": 356
1237
+ },
1238
+ {
1239
+ "epoch": 90.0,
1240
+ "learning_rate": 1.1944444444444446e-06,
1241
+ "loss": 0.0,
1242
+ "step": 360
1243
+ },
1244
+ {
1245
+ "epoch": 90.0,
1246
+ "eval_accuracy": 1.0,
1247
+ "eval_loss": 0.040413498878479004,
1248
+ "eval_runtime": 0.2044,
1249
+ "eval_samples_per_second": 58.696,
1250
+ "eval_steps_per_second": 9.783,
1251
+ "step": 360
1252
+ },
1253
+ {
1254
+ "epoch": 91.0,
1255
+ "eval_accuracy": 1.0,
1256
+ "eval_loss": 0.0374186746776104,
1257
+ "eval_runtime": 0.316,
1258
+ "eval_samples_per_second": 37.973,
1259
+ "eval_steps_per_second": 6.329,
1260
+ "step": 364
1261
+ },
1262
+ {
1263
+ "epoch": 91.25,
1264
+ "learning_rate": 1.0555555555555557e-06,
1265
+ "loss": 0.0,
1266
+ "step": 365
1267
+ },
1268
+ {
1269
+ "epoch": 92.0,
1270
+ "eval_accuracy": 1.0,
1271
+ "eval_loss": 0.03140836954116821,
1272
+ "eval_runtime": 0.2142,
1273
+ "eval_samples_per_second": 56.034,
1274
+ "eval_steps_per_second": 9.339,
1275
+ "step": 368
1276
+ },
1277
+ {
1278
+ "epoch": 92.5,
1279
+ "learning_rate": 9.166666666666666e-07,
1280
+ "loss": 0.0003,
1281
+ "step": 370
1282
+ },
1283
+ {
1284
+ "epoch": 93.0,
1285
+ "eval_accuracy": 1.0,
1286
+ "eval_loss": 0.01769857667386532,
1287
+ "eval_runtime": 0.2018,
1288
+ "eval_samples_per_second": 59.478,
1289
+ "eval_steps_per_second": 9.913,
1290
+ "step": 372
1291
+ },
1292
+ {
1293
+ "epoch": 93.75,
1294
+ "learning_rate": 7.777777777777779e-07,
1295
+ "loss": 0.0001,
1296
+ "step": 375
1297
+ },
1298
+ {
1299
+ "epoch": 94.0,
1300
+ "eval_accuracy": 1.0,
1301
+ "eval_loss": 0.011687318794429302,
1302
+ "eval_runtime": 0.2027,
1303
+ "eval_samples_per_second": 59.211,
1304
+ "eval_steps_per_second": 9.869,
1305
+ "step": 376
1306
+ },
1307
+ {
1308
+ "epoch": 95.0,
1309
+ "learning_rate": 6.388888888888889e-07,
1310
+ "loss": 0.0001,
1311
+ "step": 380
1312
+ },
1313
+ {
1314
+ "epoch": 95.0,
1315
+ "eval_accuracy": 1.0,
1316
+ "eval_loss": 0.0088284807279706,
1317
+ "eval_runtime": 0.2065,
1318
+ "eval_samples_per_second": 58.106,
1319
+ "eval_steps_per_second": 9.684,
1320
+ "step": 380
1321
+ },
1322
+ {
1323
+ "epoch": 96.0,
1324
+ "eval_accuracy": 1.0,
1325
+ "eval_loss": 0.007670491933822632,
1326
+ "eval_runtime": 0.2024,
1327
+ "eval_samples_per_second": 59.303,
1328
+ "eval_steps_per_second": 9.884,
1329
+ "step": 384
1330
+ },
1331
+ {
1332
+ "epoch": 96.25,
1333
+ "learning_rate": 5.000000000000001e-07,
1334
+ "loss": 0.0,
1335
+ "step": 385
1336
+ },
1337
+ {
1338
+ "epoch": 97.0,
1339
+ "eval_accuracy": 1.0,
1340
+ "eval_loss": 0.00695762038230896,
1341
+ "eval_runtime": 0.2135,
1342
+ "eval_samples_per_second": 56.218,
1343
+ "eval_steps_per_second": 9.37,
1344
+ "step": 388
1345
+ },
1346
+ {
1347
+ "epoch": 97.5,
1348
+ "learning_rate": 3.611111111111111e-07,
1349
+ "loss": 0.0001,
1350
+ "step": 390
1351
+ },
1352
+ {
1353
+ "epoch": 98.0,
1354
+ "eval_accuracy": 1.0,
1355
+ "eval_loss": 0.0064276158809661865,
1356
+ "eval_runtime": 0.2059,
1357
+ "eval_samples_per_second": 58.292,
1358
+ "eval_steps_per_second": 9.715,
1359
+ "step": 392
1360
+ },
1361
+ {
1362
+ "epoch": 98.75,
1363
+ "learning_rate": 2.2222222222222224e-07,
1364
+ "loss": 0.0001,
1365
+ "step": 395
1366
+ },
1367
+ {
1368
+ "epoch": 99.0,
1369
+ "eval_accuracy": 1.0,
1370
+ "eval_loss": 0.006080567836761475,
1371
+ "eval_runtime": 0.2091,
1372
+ "eval_samples_per_second": 57.386,
1373
+ "eval_steps_per_second": 9.564,
1374
+ "step": 396
1375
+ },
1376
+ {
1377
+ "epoch": 100.0,
1378
+ "learning_rate": 8.333333333333334e-08,
1379
+ "loss": 0.0001,
1380
+ "step": 400
1381
+ },
1382
+ {
1383
+ "epoch": 100.0,
1384
+ "eval_accuracy": 1.0,
1385
+ "eval_loss": 0.005917658563703299,
1386
+ "eval_runtime": 0.2205,
1387
+ "eval_samples_per_second": 54.429,
1388
+ "eval_steps_per_second": 9.072,
1389
+ "step": 400
1390
+ }
1391
+ ],
1392
+ "logging_steps": 5,
1393
+ "max_steps": 400,
1394
+ "num_train_epochs": 100,
1395
+ "save_steps": 500,
1396
+ "total_flos": 4.70073333768192e+17,
1397
+ "trial_name": null,
1398
+ "trial_params": null
1399
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5af0d25da3647f02cb549dbce3f3e15125788273231f5cddb0a0a9e60095d680
3
+ size 4600