dima806 commited on
Commit
5bf6d65
1 Parent(s): 998b825

Upload folder using huggingface_hub

Browse files
checkpoint-3000/config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "dew",
13
+ "1": "fogsmog",
14
+ "2": "frost",
15
+ "3": "glaze",
16
+ "4": "hail",
17
+ "5": "lightning",
18
+ "6": "rain",
19
+ "7": "rainbow",
20
+ "8": "rime",
21
+ "9": "sandstorm",
22
+ "10": "snow"
23
+ },
24
+ "image_size": 224,
25
+ "initializer_range": 0.02,
26
+ "intermediate_size": 3072,
27
+ "label2id": {
28
+ "dew": 0,
29
+ "fogsmog": 1,
30
+ "frost": 2,
31
+ "glaze": 3,
32
+ "hail": 4,
33
+ "lightning": 5,
34
+ "rain": 6,
35
+ "rainbow": 7,
36
+ "rime": 8,
37
+ "sandstorm": 9,
38
+ "snow": 10
39
+ },
40
+ "layer_norm_eps": 1e-12,
41
+ "model_type": "vit",
42
+ "num_attention_heads": 12,
43
+ "num_channels": 3,
44
+ "num_hidden_layers": 12,
45
+ "patch_size": 16,
46
+ "problem_type": "single_label_classification",
47
+ "qkv_bias": true,
48
+ "torch_dtype": "float32",
49
+ "transformers_version": "4.35.0"
50
+ }
checkpoint-3000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ae4ba422a3b361a73f171d81af7c15b32d33aaf3f1858dc734c35604643a25b
3
+ size 343251660
checkpoint-3000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aca6af4bfbc64f0e51f133ba0921e0acada5d53cbd203cacab809a84d955dac0
3
+ size 686623749
checkpoint-3000/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": "ViTImageProcessor",
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-3000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b9fc5d4aacf3430af5e831b54ffdd548ada41ab2bae93024dda18416b342b47d
3
+ size 14575
checkpoint-3000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b8372bc0b578457ef9bba5e5ce89a3c8faaac172be40d311a0cad7e1bfcf4f91
3
+ size 627
checkpoint-3000/trainer_state.json ADDED
@@ -0,0 +1,235 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.5382775664329529,
3
+ "best_model_checkpoint": "weather_types_image_detection/checkpoint-3000",
4
+ "epoch": 20.0,
5
+ "eval_steps": 500,
6
+ "global_step": 3000,
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": 0.5056426332288402,
14
+ "eval_loss": 2.195056915283203,
15
+ "eval_runtime": 39.7075,
16
+ "eval_samples_per_second": 80.337,
17
+ "eval_steps_per_second": 2.518,
18
+ "step": 150
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "eval_accuracy": 0.7865203761755486,
23
+ "eval_loss": 1.8913682699203491,
24
+ "eval_runtime": 39.3657,
25
+ "eval_samples_per_second": 81.035,
26
+ "eval_steps_per_second": 2.54,
27
+ "step": 300
28
+ },
29
+ {
30
+ "epoch": 3.0,
31
+ "eval_accuracy": 0.8677115987460815,
32
+ "eval_loss": 1.5939664840698242,
33
+ "eval_runtime": 39.9431,
34
+ "eval_samples_per_second": 79.864,
35
+ "eval_steps_per_second": 2.504,
36
+ "step": 450
37
+ },
38
+ {
39
+ "epoch": 3.33,
40
+ "learning_rate": 2.5423728813559323e-06,
41
+ "loss": 1.9398,
42
+ "step": 500
43
+ },
44
+ {
45
+ "epoch": 4.0,
46
+ "eval_accuracy": 0.9012539184952978,
47
+ "eval_loss": 1.3277515172958374,
48
+ "eval_runtime": 39.2865,
49
+ "eval_samples_per_second": 81.198,
50
+ "eval_steps_per_second": 2.545,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 5.0,
55
+ "eval_accuracy": 0.9078369905956113,
56
+ "eval_loss": 1.1275917291641235,
57
+ "eval_runtime": 40.4781,
58
+ "eval_samples_per_second": 78.808,
59
+ "eval_steps_per_second": 2.47,
60
+ "step": 750
61
+ },
62
+ {
63
+ "epoch": 6.0,
64
+ "eval_accuracy": 0.9109717868338558,
65
+ "eval_loss": 0.9836059808731079,
66
+ "eval_runtime": 39.3293,
67
+ "eval_samples_per_second": 81.11,
68
+ "eval_steps_per_second": 2.543,
69
+ "step": 900
70
+ },
71
+ {
72
+ "epoch": 6.67,
73
+ "learning_rate": 2.033898305084746e-06,
74
+ "loss": 1.0736,
75
+ "step": 1000
76
+ },
77
+ {
78
+ "epoch": 7.0,
79
+ "eval_accuracy": 0.9175548589341693,
80
+ "eval_loss": 0.8796769976615906,
81
+ "eval_runtime": 38.8684,
82
+ "eval_samples_per_second": 82.072,
83
+ "eval_steps_per_second": 2.573,
84
+ "step": 1050
85
+ },
86
+ {
87
+ "epoch": 8.0,
88
+ "eval_accuracy": 0.9260188087774295,
89
+ "eval_loss": 0.8013343811035156,
90
+ "eval_runtime": 39.8903,
91
+ "eval_samples_per_second": 79.969,
92
+ "eval_steps_per_second": 2.507,
93
+ "step": 1200
94
+ },
95
+ {
96
+ "epoch": 9.0,
97
+ "eval_accuracy": 0.9297805642633229,
98
+ "eval_loss": 0.741754949092865,
99
+ "eval_runtime": 39.2379,
100
+ "eval_samples_per_second": 81.299,
101
+ "eval_steps_per_second": 2.549,
102
+ "step": 1350
103
+ },
104
+ {
105
+ "epoch": 10.0,
106
+ "learning_rate": 1.5254237288135592e-06,
107
+ "loss": 0.7176,
108
+ "step": 1500
109
+ },
110
+ {
111
+ "epoch": 10.0,
112
+ "eval_accuracy": 0.9357366771159875,
113
+ "eval_loss": 0.6951330304145813,
114
+ "eval_runtime": 39.6464,
115
+ "eval_samples_per_second": 80.461,
116
+ "eval_steps_per_second": 2.522,
117
+ "step": 1500
118
+ },
119
+ {
120
+ "epoch": 11.0,
121
+ "eval_accuracy": 0.936050156739812,
122
+ "eval_loss": 0.6588802933692932,
123
+ "eval_runtime": 39.3043,
124
+ "eval_samples_per_second": 81.162,
125
+ "eval_steps_per_second": 2.544,
126
+ "step": 1650
127
+ },
128
+ {
129
+ "epoch": 12.0,
130
+ "eval_accuracy": 0.9391849529780564,
131
+ "eval_loss": 0.6289839148521423,
132
+ "eval_runtime": 40.6101,
133
+ "eval_samples_per_second": 78.552,
134
+ "eval_steps_per_second": 2.462,
135
+ "step": 1800
136
+ },
137
+ {
138
+ "epoch": 13.0,
139
+ "eval_accuracy": 0.9435736677115988,
140
+ "eval_loss": 0.6051485538482666,
141
+ "eval_runtime": 39.428,
142
+ "eval_samples_per_second": 80.907,
143
+ "eval_steps_per_second": 2.536,
144
+ "step": 1950
145
+ },
146
+ {
147
+ "epoch": 13.33,
148
+ "learning_rate": 1.016949152542373e-06,
149
+ "loss": 0.573,
150
+ "step": 2000
151
+ },
152
+ {
153
+ "epoch": 14.0,
154
+ "eval_accuracy": 0.9442006269592477,
155
+ "eval_loss": 0.5864712595939636,
156
+ "eval_runtime": 38.9051,
157
+ "eval_samples_per_second": 81.994,
158
+ "eval_steps_per_second": 2.57,
159
+ "step": 2100
160
+ },
161
+ {
162
+ "epoch": 15.0,
163
+ "eval_accuracy": 0.945141065830721,
164
+ "eval_loss": 0.5714645385742188,
165
+ "eval_runtime": 38.9352,
166
+ "eval_samples_per_second": 81.931,
167
+ "eval_steps_per_second": 2.568,
168
+ "step": 2250
169
+ },
170
+ {
171
+ "epoch": 16.0,
172
+ "eval_accuracy": 0.9460815047021943,
173
+ "eval_loss": 0.5598732233047485,
174
+ "eval_runtime": 39.7255,
175
+ "eval_samples_per_second": 80.301,
176
+ "eval_steps_per_second": 2.517,
177
+ "step": 2400
178
+ },
179
+ {
180
+ "epoch": 16.67,
181
+ "learning_rate": 5.084745762711865e-07,
182
+ "loss": 0.5049,
183
+ "step": 2500
184
+ },
185
+ {
186
+ "epoch": 17.0,
187
+ "eval_accuracy": 0.9476489028213166,
188
+ "eval_loss": 0.5497184991836548,
189
+ "eval_runtime": 38.9155,
190
+ "eval_samples_per_second": 81.972,
191
+ "eval_steps_per_second": 2.57,
192
+ "step": 2550
193
+ },
194
+ {
195
+ "epoch": 18.0,
196
+ "eval_accuracy": 0.9479623824451411,
197
+ "eval_loss": 0.5431983470916748,
198
+ "eval_runtime": 39.2777,
199
+ "eval_samples_per_second": 81.217,
200
+ "eval_steps_per_second": 2.546,
201
+ "step": 2700
202
+ },
203
+ {
204
+ "epoch": 19.0,
205
+ "eval_accuracy": 0.9482758620689655,
206
+ "eval_loss": 0.5394731163978577,
207
+ "eval_runtime": 39.0547,
208
+ "eval_samples_per_second": 81.68,
209
+ "eval_steps_per_second": 2.561,
210
+ "step": 2850
211
+ },
212
+ {
213
+ "epoch": 20.0,
214
+ "learning_rate": 0.0,
215
+ "loss": 0.4752,
216
+ "step": 3000
217
+ },
218
+ {
219
+ "epoch": 20.0,
220
+ "eval_accuracy": 0.9476489028213166,
221
+ "eval_loss": 0.5382775664329529,
222
+ "eval_runtime": 39.1619,
223
+ "eval_samples_per_second": 81.457,
224
+ "eval_steps_per_second": 2.554,
225
+ "step": 3000
226
+ }
227
+ ],
228
+ "logging_steps": 500,
229
+ "max_steps": 3000,
230
+ "num_train_epochs": 20,
231
+ "save_steps": 500,
232
+ "total_flos": 1.4833163220277248e+19,
233
+ "trial_name": null,
234
+ "trial_params": null
235
+ }
checkpoint-3000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d2b189797acfec84a938a4fc357854a851b15f9b2f780f5ed805d70d7df7571
3
+ size 4091
config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "dew",
13
+ "1": "fogsmog",
14
+ "2": "frost",
15
+ "3": "glaze",
16
+ "4": "hail",
17
+ "5": "lightning",
18
+ "6": "rain",
19
+ "7": "rainbow",
20
+ "8": "rime",
21
+ "9": "sandstorm",
22
+ "10": "snow"
23
+ },
24
+ "image_size": 224,
25
+ "initializer_range": 0.02,
26
+ "intermediate_size": 3072,
27
+ "label2id": {
28
+ "dew": 0,
29
+ "fogsmog": 1,
30
+ "frost": 2,
31
+ "glaze": 3,
32
+ "hail": 4,
33
+ "lightning": 5,
34
+ "rain": 6,
35
+ "rainbow": 7,
36
+ "rime": 8,
37
+ "sandstorm": 9,
38
+ "snow": 10
39
+ },
40
+ "layer_norm_eps": 1e-12,
41
+ "model_type": "vit",
42
+ "num_attention_heads": 12,
43
+ "num_channels": 3,
44
+ "num_hidden_layers": 12,
45
+ "patch_size": 16,
46
+ "problem_type": "single_label_classification",
47
+ "qkv_bias": true,
48
+ "torch_dtype": "float32",
49
+ "transformers_version": "4.35.0"
50
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ae4ba422a3b361a73f171d81af7c15b32d33aaf3f1858dc734c35604643a25b
3
+ size 343251660
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": "ViTImageProcessor",
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
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d2b189797acfec84a938a4fc357854a851b15f9b2f780f5ed805d70d7df7571
3
+ size 4091