yuanhuaisen
commited on
Commit
•
32c9122
1
Parent(s):
c0074a8
Upload folder using huggingface_hub
Browse files- README.md +32 -0
- checkpoint-39/config.json +33 -0
- checkpoint-39/model.safetensors +3 -0
- checkpoint-39/optimizer.pt +3 -0
- checkpoint-39/rng_state.pth +3 -0
- checkpoint-39/scheduler.pt +3 -0
- checkpoint-39/trainer_state.json +294 -0
- checkpoint-39/training_args.bin +3 -0
- config.json +33 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- training_args.bin +3 -0
- training_params.json +29 -0
README.md
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
tags:
|
4 |
+
- autotrain
|
5 |
+
- image-classification
|
6 |
+
widget:
|
7 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
|
8 |
+
example_title: Tiger
|
9 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
|
10 |
+
example_title: Teapot
|
11 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
|
12 |
+
example_title: Palace
|
13 |
+
datasets:
|
14 |
+
- yuanhuaisen/autotrain-data-autotrain-sfnkd-pexdp
|
15 |
+
---
|
16 |
+
|
17 |
+
# Model Trained Using AutoTrain
|
18 |
+
|
19 |
+
- Problem type: Image Classification
|
20 |
+
|
21 |
+
## Validation Metricsg
|
22 |
+
loss: 0.5256543159484863
|
23 |
+
|
24 |
+
f1: 0.9285714285714286
|
25 |
+
|
26 |
+
precision: 0.9285714285714286
|
27 |
+
|
28 |
+
recall: 0.9285714285714286
|
29 |
+
|
30 |
+
auc: 0.9805194805194806
|
31 |
+
|
32 |
+
accuracy: 0.92
|
checkpoint-39/config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-large-patch16-224",
|
3 |
+
"_num_labels": 2,
|
4 |
+
"architectures": [
|
5 |
+
"ViTForImageClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.0,
|
8 |
+
"encoder_stride": 16,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.0,
|
11 |
+
"hidden_size": 1024,
|
12 |
+
"id2label": {
|
13 |
+
"0": "11covered_with_a_quilt_and_only_the_head_exposed",
|
14 |
+
"1": "12covered_with_a_quilt_and_exposed_other_parts_of_the_body"
|
15 |
+
},
|
16 |
+
"image_size": 224,
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 4096,
|
19 |
+
"label2id": {
|
20 |
+
"11covered_with_a_quilt_and_only_the_head_exposed": 0,
|
21 |
+
"12covered_with_a_quilt_and_exposed_other_parts_of_the_body": 1
|
22 |
+
},
|
23 |
+
"layer_norm_eps": 1e-12,
|
24 |
+
"model_type": "vit",
|
25 |
+
"num_attention_heads": 16,
|
26 |
+
"num_channels": 3,
|
27 |
+
"num_hidden_layers": 24,
|
28 |
+
"patch_size": 16,
|
29 |
+
"problem_type": "single_label_classification",
|
30 |
+
"qkv_bias": true,
|
31 |
+
"torch_dtype": "float32",
|
32 |
+
"transformers_version": "4.36.1"
|
33 |
+
}
|
checkpoint-39/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d9440bf36fd025beadc76dc4bb9798373926c58121c160d0710b1e89eb33bf16
|
3 |
+
size 1213261264
|
checkpoint-39/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:431379e3569c087a104538a7dfec1cdcb34cdad5b6d70045fab8cf5bfe7f08ec
|
3 |
+
size 2426757546
|
checkpoint-39/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8c9a5ece91cc083fc0e4bb7ad51990d2e7847a3f067acfcfe3a620b53f16df30
|
3 |
+
size 14244
|
checkpoint-39/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:13f7de4f4401721240bbc28b20d943d6d5cf41d9d99f74e091f21335a465a41a
|
3 |
+
size 1064
|
checkpoint-39/trainer_state.json
ADDED
@@ -0,0 +1,294 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5256543159484863,
|
3 |
+
"best_model_checkpoint": "/tmp/model/checkpoint-39",
|
4 |
+
"epoch": 3.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 39,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.08,
|
13 |
+
"learning_rate": 1.25e-05,
|
14 |
+
"loss": 0.6934,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.15,
|
19 |
+
"learning_rate": 2.5e-05,
|
20 |
+
"loss": 0.6934,
|
21 |
+
"step": 2
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.23,
|
25 |
+
"learning_rate": 3.7500000000000003e-05,
|
26 |
+
"loss": 0.6927,
|
27 |
+
"step": 3
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.31,
|
31 |
+
"learning_rate": 5e-05,
|
32 |
+
"loss": 0.6925,
|
33 |
+
"step": 4
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.38,
|
37 |
+
"learning_rate": 5e-05,
|
38 |
+
"loss": 0.6982,
|
39 |
+
"step": 5
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.46,
|
43 |
+
"learning_rate": 4.8571428571428576e-05,
|
44 |
+
"loss": 0.6873,
|
45 |
+
"step": 6
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.54,
|
49 |
+
"learning_rate": 4.714285714285714e-05,
|
50 |
+
"loss": 0.6981,
|
51 |
+
"step": 7
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.62,
|
55 |
+
"learning_rate": 4.5714285714285716e-05,
|
56 |
+
"loss": 0.6832,
|
57 |
+
"step": 8
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.69,
|
61 |
+
"learning_rate": 4.428571428571428e-05,
|
62 |
+
"loss": 0.6876,
|
63 |
+
"step": 9
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.77,
|
67 |
+
"learning_rate": 4.2857142857142856e-05,
|
68 |
+
"loss": 0.6754,
|
69 |
+
"step": 10
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.85,
|
73 |
+
"learning_rate": 4.1428571428571437e-05,
|
74 |
+
"loss": 0.665,
|
75 |
+
"step": 11
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.92,
|
79 |
+
"learning_rate": 4e-05,
|
80 |
+
"loss": 0.6749,
|
81 |
+
"step": 12
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 1.0,
|
85 |
+
"learning_rate": 3.857142857142858e-05,
|
86 |
+
"loss": 0.6663,
|
87 |
+
"step": 13
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 1.0,
|
91 |
+
"eval_accuracy": 0.56,
|
92 |
+
"eval_auc": 0.922077922077922,
|
93 |
+
"eval_f1": 0.717948717948718,
|
94 |
+
"eval_loss": 0.6754491925239563,
|
95 |
+
"eval_precision": 0.56,
|
96 |
+
"eval_recall": 1.0,
|
97 |
+
"eval_runtime": 1.3736,
|
98 |
+
"eval_samples_per_second": 18.2,
|
99 |
+
"eval_steps_per_second": 1.456,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 1.08,
|
104 |
+
"learning_rate": 3.7142857142857143e-05,
|
105 |
+
"loss": 0.6102,
|
106 |
+
"step": 14
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 1.15,
|
110 |
+
"learning_rate": 3.571428571428572e-05,
|
111 |
+
"loss": 0.6307,
|
112 |
+
"step": 15
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 1.23,
|
116 |
+
"learning_rate": 3.428571428571429e-05,
|
117 |
+
"loss": 0.6337,
|
118 |
+
"step": 16
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 1.31,
|
122 |
+
"learning_rate": 3.285714285714286e-05,
|
123 |
+
"loss": 0.6769,
|
124 |
+
"step": 17
|
125 |
+
},
|
126 |
+
{
|
127 |
+
"epoch": 1.38,
|
128 |
+
"learning_rate": 3.142857142857143e-05,
|
129 |
+
"loss": 0.6445,
|
130 |
+
"step": 18
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 1.46,
|
134 |
+
"learning_rate": 3e-05,
|
135 |
+
"loss": 0.7123,
|
136 |
+
"step": 19
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 1.54,
|
140 |
+
"learning_rate": 2.857142857142857e-05,
|
141 |
+
"loss": 0.6527,
|
142 |
+
"step": 20
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 1.62,
|
146 |
+
"learning_rate": 2.714285714285714e-05,
|
147 |
+
"loss": 0.69,
|
148 |
+
"step": 21
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 1.69,
|
152 |
+
"learning_rate": 2.5714285714285714e-05,
|
153 |
+
"loss": 0.6184,
|
154 |
+
"step": 22
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 1.77,
|
158 |
+
"learning_rate": 2.4285714285714288e-05,
|
159 |
+
"loss": 0.6183,
|
160 |
+
"step": 23
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 1.85,
|
164 |
+
"learning_rate": 2.2857142857142858e-05,
|
165 |
+
"loss": 0.6548,
|
166 |
+
"step": 24
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 1.92,
|
170 |
+
"learning_rate": 2.1428571428571428e-05,
|
171 |
+
"loss": 0.6148,
|
172 |
+
"step": 25
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 2.0,
|
176 |
+
"learning_rate": 2e-05,
|
177 |
+
"loss": 0.5487,
|
178 |
+
"step": 26
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 2.0,
|
182 |
+
"eval_accuracy": 0.84,
|
183 |
+
"eval_auc": 0.974025974025974,
|
184 |
+
"eval_f1": 0.8333333333333333,
|
185 |
+
"eval_loss": 0.5991113185882568,
|
186 |
+
"eval_precision": 1.0,
|
187 |
+
"eval_recall": 0.7142857142857143,
|
188 |
+
"eval_runtime": 1.2936,
|
189 |
+
"eval_samples_per_second": 19.326,
|
190 |
+
"eval_steps_per_second": 1.546,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 2.08,
|
195 |
+
"learning_rate": 1.8571428571428572e-05,
|
196 |
+
"loss": 0.6147,
|
197 |
+
"step": 27
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 2.15,
|
201 |
+
"learning_rate": 1.7142857142857145e-05,
|
202 |
+
"loss": 0.6138,
|
203 |
+
"step": 28
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 2.23,
|
207 |
+
"learning_rate": 1.5714285714285715e-05,
|
208 |
+
"loss": 0.6359,
|
209 |
+
"step": 29
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 2.31,
|
213 |
+
"learning_rate": 1.4285714285714285e-05,
|
214 |
+
"loss": 0.574,
|
215 |
+
"step": 30
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 2.38,
|
219 |
+
"learning_rate": 1.2857142857142857e-05,
|
220 |
+
"loss": 0.537,
|
221 |
+
"step": 31
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 2.46,
|
225 |
+
"learning_rate": 1.1428571428571429e-05,
|
226 |
+
"loss": 0.5474,
|
227 |
+
"step": 32
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 2.54,
|
231 |
+
"learning_rate": 1e-05,
|
232 |
+
"loss": 0.6105,
|
233 |
+
"step": 33
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 2.62,
|
237 |
+
"learning_rate": 8.571428571428573e-06,
|
238 |
+
"loss": 0.5906,
|
239 |
+
"step": 34
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 2.69,
|
243 |
+
"learning_rate": 7.142857142857143e-06,
|
244 |
+
"loss": 0.5601,
|
245 |
+
"step": 35
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 2.77,
|
249 |
+
"learning_rate": 5.7142857142857145e-06,
|
250 |
+
"loss": 0.4603,
|
251 |
+
"step": 36
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 2.85,
|
255 |
+
"learning_rate": 4.285714285714286e-06,
|
256 |
+
"loss": 0.5096,
|
257 |
+
"step": 37
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 2.92,
|
261 |
+
"learning_rate": 2.8571428571428573e-06,
|
262 |
+
"loss": 0.5837,
|
263 |
+
"step": 38
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 3.0,
|
267 |
+
"learning_rate": 1.4285714285714286e-06,
|
268 |
+
"loss": 0.4309,
|
269 |
+
"step": 39
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 3.0,
|
273 |
+
"eval_accuracy": 0.92,
|
274 |
+
"eval_auc": 0.9805194805194806,
|
275 |
+
"eval_f1": 0.9285714285714286,
|
276 |
+
"eval_loss": 0.5256543159484863,
|
277 |
+
"eval_precision": 0.9285714285714286,
|
278 |
+
"eval_recall": 0.9285714285714286,
|
279 |
+
"eval_runtime": 1.3109,
|
280 |
+
"eval_samples_per_second": 19.071,
|
281 |
+
"eval_steps_per_second": 1.526,
|
282 |
+
"step": 39
|
283 |
+
}
|
284 |
+
],
|
285 |
+
"logging_steps": 1,
|
286 |
+
"max_steps": 39,
|
287 |
+
"num_input_tokens_seen": 0,
|
288 |
+
"num_train_epochs": 3,
|
289 |
+
"save_steps": 500,
|
290 |
+
"total_flos": 8.135845141977907e+16,
|
291 |
+
"train_batch_size": 8,
|
292 |
+
"trial_name": null,
|
293 |
+
"trial_params": null
|
294 |
+
}
|
checkpoint-39/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:025667233ae786c121d9ce4ce949ca7b9cb40764cf59cc3e9cb894d5c00c4d82
|
3 |
+
size 4728
|
config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-large-patch16-224",
|
3 |
+
"_num_labels": 2,
|
4 |
+
"architectures": [
|
5 |
+
"ViTForImageClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.0,
|
8 |
+
"encoder_stride": 16,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.0,
|
11 |
+
"hidden_size": 1024,
|
12 |
+
"id2label": {
|
13 |
+
"0": "11covered_with_a_quilt_and_only_the_head_exposed",
|
14 |
+
"1": "12covered_with_a_quilt_and_exposed_other_parts_of_the_body"
|
15 |
+
},
|
16 |
+
"image_size": 224,
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 4096,
|
19 |
+
"label2id": {
|
20 |
+
"11covered_with_a_quilt_and_only_the_head_exposed": 0,
|
21 |
+
"12covered_with_a_quilt_and_exposed_other_parts_of_the_body": 1
|
22 |
+
},
|
23 |
+
"layer_norm_eps": 1e-12,
|
24 |
+
"model_type": "vit",
|
25 |
+
"num_attention_heads": 16,
|
26 |
+
"num_channels": 3,
|
27 |
+
"num_hidden_layers": 24,
|
28 |
+
"patch_size": 16,
|
29 |
+
"problem_type": "single_label_classification",
|
30 |
+
"qkv_bias": true,
|
31 |
+
"torch_dtype": "float32",
|
32 |
+
"transformers_version": "4.36.1"
|
33 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d9440bf36fd025beadc76dc4bb9798373926c58121c160d0710b1e89eb33bf16
|
3 |
+
size 1213261264
|
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 sha256:025667233ae786c121d9ce4ce949ca7b9cb40764cf59cc3e9cb894d5c00c4d82
|
3 |
+
size 4728
|
training_params.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "yuanhuaisen/autotrain-data-autotrain-sfnkd-pexdp",
|
3 |
+
"model": "google/vit-large-patch16-224",
|
4 |
+
"username": "yuanhuaisen",
|
5 |
+
"lr": 5e-05,
|
6 |
+
"epochs": 3,
|
7 |
+
"batch_size": 8,
|
8 |
+
"warmup_ratio": 0.1,
|
9 |
+
"gradient_accumulation": 1,
|
10 |
+
"optimizer": "adamw_torch",
|
11 |
+
"scheduler": "linear",
|
12 |
+
"weight_decay": 0.0,
|
13 |
+
"max_grad_norm": 1.0,
|
14 |
+
"seed": 42,
|
15 |
+
"train_split": "train",
|
16 |
+
"valid_split": "validation",
|
17 |
+
"logging_steps": -1,
|
18 |
+
"project_name": "/tmp/model",
|
19 |
+
"auto_find_batch_size": false,
|
20 |
+
"mixed_precision": "fp16",
|
21 |
+
"save_total_limit": 1,
|
22 |
+
"save_strategy": "epoch",
|
23 |
+
"push_to_hub": true,
|
24 |
+
"repo_id": "yuanhuaisen/autotrain-sfnkd-pexdp",
|
25 |
+
"evaluation_strategy": "epoch",
|
26 |
+
"image_column": "autotrain_image",
|
27 |
+
"target_column": "autotrain_label",
|
28 |
+
"log": "none"
|
29 |
+
}
|