Upload folder using huggingface_hub
Browse files- README.md +32 -0
- checkpoint-52/config.json +33 -0
- checkpoint-52/model.safetensors +3 -0
- checkpoint-52/optimizer.pt +3 -0
- checkpoint-52/rng_state.pth +3 -0
- checkpoint-52/scheduler.pt +3 -0
- checkpoint-52/trainer_state.json +385 -0
- checkpoint-52/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 |
+
- autotrain-image-classification-for-slides-240131/autotrain-data
|
15 |
+
---
|
16 |
+
|
17 |
+
# Model Trained Using AutoTrain
|
18 |
+
|
19 |
+
- Problem type: Image Classification
|
20 |
+
|
21 |
+
## Validation Metricsg
|
22 |
+
loss: 0.16453494131565094
|
23 |
+
|
24 |
+
f1: 0.8
|
25 |
+
|
26 |
+
precision: 1.0
|
27 |
+
|
28 |
+
recall: 0.6666666666666666
|
29 |
+
|
30 |
+
auc: 0.9916666666666667
|
31 |
+
|
32 |
+
accuracy: 0.9230769230769231
|
checkpoint-52/config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-large-patch32-384",
|
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": "keep",
|
14 |
+
"1": "remove"
|
15 |
+
},
|
16 |
+
"image_size": 384,
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 4096,
|
19 |
+
"label2id": {
|
20 |
+
"keep": 0,
|
21 |
+
"remove": 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": 32,
|
29 |
+
"problem_type": "single_label_classification",
|
30 |
+
"qkv_bias": true,
|
31 |
+
"torch_dtype": "float32",
|
32 |
+
"transformers_version": "4.37.0"
|
33 |
+
}
|
checkpoint-52/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c03d5afe88acf6cc7bc28ea45579ed7aa355aad392b45dc4aacbbb7c863cddf9
|
3 |
+
size 1222485480
|
checkpoint-52/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:184740ed72a31c775e8797aa30288b9cf053e01e74430ccf72e7477d8c14c55a
|
3 |
+
size 2445205930
|
checkpoint-52/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:413355ec04373049838ee4fda5710d740ad616731a51f4c65f1468e33b424540
|
3 |
+
size 14244
|
checkpoint-52/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:71e34f0eaf333fd415ebc7d68904d7e745270cbbbdd4749ab6177dfb3113c361
|
3 |
+
size 1064
|
checkpoint-52/trainer_state.json
ADDED
@@ -0,0 +1,385 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.16453494131565094,
|
3 |
+
"best_model_checkpoint": "autotrain-image-classification-for-slides-240131/checkpoint-52",
|
4 |
+
"epoch": 4.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 52,
|
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": 0.0,
|
14 |
+
"loss": 0.8246,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.15,
|
19 |
+
"learning_rate": 3.846153846153847e-06,
|
20 |
+
"loss": 0.7321,
|
21 |
+
"step": 2
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.23,
|
25 |
+
"learning_rate": 7.692307692307694e-06,
|
26 |
+
"loss": 0.7559,
|
27 |
+
"step": 3
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.31,
|
31 |
+
"learning_rate": 7.692307692307694e-06,
|
32 |
+
"loss": 0.8997,
|
33 |
+
"step": 4
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.38,
|
37 |
+
"learning_rate": 1.153846153846154e-05,
|
38 |
+
"loss": 0.8359,
|
39 |
+
"step": 5
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.46,
|
43 |
+
"learning_rate": 1.5384615384615387e-05,
|
44 |
+
"loss": 0.9853,
|
45 |
+
"step": 6
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.54,
|
49 |
+
"learning_rate": 1.923076923076923e-05,
|
50 |
+
"loss": 0.7486,
|
51 |
+
"step": 7
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.62,
|
55 |
+
"learning_rate": 2.307692307692308e-05,
|
56 |
+
"loss": 0.662,
|
57 |
+
"step": 8
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.69,
|
61 |
+
"learning_rate": 2.6923076923076923e-05,
|
62 |
+
"loss": 0.5742,
|
63 |
+
"step": 9
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.77,
|
67 |
+
"learning_rate": 3.0769230769230774e-05,
|
68 |
+
"loss": 0.4633,
|
69 |
+
"step": 10
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.85,
|
73 |
+
"learning_rate": 3.461538461538462e-05,
|
74 |
+
"loss": 0.5447,
|
75 |
+
"step": 11
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.92,
|
79 |
+
"learning_rate": 3.846153846153846e-05,
|
80 |
+
"loss": 0.6678,
|
81 |
+
"step": 12
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 1.0,
|
85 |
+
"learning_rate": 4.230769230769231e-05,
|
86 |
+
"loss": 0.0485,
|
87 |
+
"step": 13
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 1.0,
|
91 |
+
"eval_accuracy": 0.8461538461538461,
|
92 |
+
"eval_auc": 0.875,
|
93 |
+
"eval_f1": 0.5,
|
94 |
+
"eval_loss": 0.4225906729698181,
|
95 |
+
"eval_precision": 1.0,
|
96 |
+
"eval_recall": 0.3333333333333333,
|
97 |
+
"eval_runtime": 1.0079,
|
98 |
+
"eval_samples_per_second": 25.795,
|
99 |
+
"eval_steps_per_second": 1.984,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 1.08,
|
104 |
+
"learning_rate": 4.615384615384616e-05,
|
105 |
+
"loss": 0.5198,
|
106 |
+
"step": 14
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 1.15,
|
110 |
+
"learning_rate": 5e-05,
|
111 |
+
"loss": 0.862,
|
112 |
+
"step": 15
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 1.23,
|
116 |
+
"learning_rate": 4.9572649572649575e-05,
|
117 |
+
"loss": 1.1419,
|
118 |
+
"step": 16
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 1.31,
|
122 |
+
"learning_rate": 4.9145299145299147e-05,
|
123 |
+
"loss": 0.5849,
|
124 |
+
"step": 17
|
125 |
+
},
|
126 |
+
{
|
127 |
+
"epoch": 1.38,
|
128 |
+
"learning_rate": 4.871794871794872e-05,
|
129 |
+
"loss": 0.2,
|
130 |
+
"step": 18
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 1.46,
|
134 |
+
"learning_rate": 4.829059829059829e-05,
|
135 |
+
"loss": 0.3846,
|
136 |
+
"step": 19
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 1.54,
|
140 |
+
"learning_rate": 4.786324786324787e-05,
|
141 |
+
"loss": 0.552,
|
142 |
+
"step": 20
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 1.62,
|
146 |
+
"learning_rate": 4.7435897435897435e-05,
|
147 |
+
"loss": 0.3141,
|
148 |
+
"step": 21
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 1.69,
|
152 |
+
"learning_rate": 4.700854700854701e-05,
|
153 |
+
"loss": 0.8354,
|
154 |
+
"step": 22
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 1.77,
|
158 |
+
"learning_rate": 4.6581196581196586e-05,
|
159 |
+
"loss": 0.1735,
|
160 |
+
"step": 23
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 1.85,
|
164 |
+
"learning_rate": 4.615384615384616e-05,
|
165 |
+
"loss": 0.1887,
|
166 |
+
"step": 24
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 1.92,
|
170 |
+
"learning_rate": 4.572649572649573e-05,
|
171 |
+
"loss": 0.3213,
|
172 |
+
"step": 25
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 2.0,
|
176 |
+
"learning_rate": 4.52991452991453e-05,
|
177 |
+
"loss": 1.0434,
|
178 |
+
"step": 26
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 2.0,
|
182 |
+
"eval_accuracy": 0.8846153846153846,
|
183 |
+
"eval_auc": 0.9750000000000001,
|
184 |
+
"eval_f1": 0.6666666666666666,
|
185 |
+
"eval_loss": 0.24872884154319763,
|
186 |
+
"eval_precision": 1.0,
|
187 |
+
"eval_recall": 0.5,
|
188 |
+
"eval_runtime": 0.9679,
|
189 |
+
"eval_samples_per_second": 26.862,
|
190 |
+
"eval_steps_per_second": 2.066,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 2.08,
|
195 |
+
"learning_rate": 4.4871794871794874e-05,
|
196 |
+
"loss": 0.1687,
|
197 |
+
"step": 27
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 2.15,
|
201 |
+
"learning_rate": 4.4444444444444447e-05,
|
202 |
+
"loss": 0.1181,
|
203 |
+
"step": 28
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 2.23,
|
207 |
+
"learning_rate": 4.401709401709402e-05,
|
208 |
+
"loss": 0.4727,
|
209 |
+
"step": 29
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 2.31,
|
213 |
+
"learning_rate": 4.358974358974359e-05,
|
214 |
+
"loss": 0.4187,
|
215 |
+
"step": 30
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 2.38,
|
219 |
+
"learning_rate": 4.316239316239317e-05,
|
220 |
+
"loss": 0.4233,
|
221 |
+
"step": 31
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 2.46,
|
225 |
+
"learning_rate": 4.2735042735042735e-05,
|
226 |
+
"loss": 0.4203,
|
227 |
+
"step": 32
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 2.54,
|
231 |
+
"learning_rate": 4.230769230769231e-05,
|
232 |
+
"loss": 0.1452,
|
233 |
+
"step": 33
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 2.62,
|
237 |
+
"learning_rate": 4.1880341880341886e-05,
|
238 |
+
"loss": 0.433,
|
239 |
+
"step": 34
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 2.69,
|
243 |
+
"learning_rate": 4.145299145299146e-05,
|
244 |
+
"loss": 0.2684,
|
245 |
+
"step": 35
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 2.77,
|
249 |
+
"learning_rate": 4.1025641025641023e-05,
|
250 |
+
"loss": 0.2701,
|
251 |
+
"step": 36
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 2.85,
|
255 |
+
"learning_rate": 4.05982905982906e-05,
|
256 |
+
"loss": 0.2146,
|
257 |
+
"step": 37
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 2.92,
|
261 |
+
"learning_rate": 4.0170940170940174e-05,
|
262 |
+
"loss": 0.2372,
|
263 |
+
"step": 38
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 3.0,
|
267 |
+
"learning_rate": 3.974358974358974e-05,
|
268 |
+
"loss": 0.1425,
|
269 |
+
"step": 39
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 3.0,
|
273 |
+
"eval_accuracy": 0.8846153846153846,
|
274 |
+
"eval_auc": 0.9833333333333334,
|
275 |
+
"eval_f1": 0.6666666666666666,
|
276 |
+
"eval_loss": 0.2464562952518463,
|
277 |
+
"eval_precision": 1.0,
|
278 |
+
"eval_recall": 0.5,
|
279 |
+
"eval_runtime": 0.9532,
|
280 |
+
"eval_samples_per_second": 27.277,
|
281 |
+
"eval_steps_per_second": 2.098,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 3.08,
|
286 |
+
"learning_rate": 3.931623931623932e-05,
|
287 |
+
"loss": 0.1051,
|
288 |
+
"step": 40
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 3.15,
|
292 |
+
"learning_rate": 3.888888888888889e-05,
|
293 |
+
"loss": 0.1805,
|
294 |
+
"step": 41
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 3.23,
|
298 |
+
"learning_rate": 3.846153846153846e-05,
|
299 |
+
"loss": 0.0632,
|
300 |
+
"step": 42
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 3.31,
|
304 |
+
"learning_rate": 3.8034188034188035e-05,
|
305 |
+
"loss": 0.2977,
|
306 |
+
"step": 43
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 3.38,
|
310 |
+
"learning_rate": 3.760683760683761e-05,
|
311 |
+
"loss": 0.632,
|
312 |
+
"step": 44
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 3.46,
|
316 |
+
"learning_rate": 3.717948717948718e-05,
|
317 |
+
"loss": 0.1371,
|
318 |
+
"step": 45
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 3.54,
|
322 |
+
"learning_rate": 3.675213675213676e-05,
|
323 |
+
"loss": 0.5184,
|
324 |
+
"step": 46
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 3.62,
|
328 |
+
"learning_rate": 3.6324786324786323e-05,
|
329 |
+
"loss": 0.1209,
|
330 |
+
"step": 47
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 3.69,
|
334 |
+
"learning_rate": 3.58974358974359e-05,
|
335 |
+
"loss": 0.2161,
|
336 |
+
"step": 48
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 3.77,
|
340 |
+
"learning_rate": 3.5470085470085474e-05,
|
341 |
+
"loss": 0.2942,
|
342 |
+
"step": 49
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 3.85,
|
346 |
+
"learning_rate": 3.504273504273504e-05,
|
347 |
+
"loss": 0.1697,
|
348 |
+
"step": 50
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 3.92,
|
352 |
+
"learning_rate": 3.461538461538462e-05,
|
353 |
+
"loss": 0.0997,
|
354 |
+
"step": 51
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 4.0,
|
358 |
+
"learning_rate": 3.418803418803419e-05,
|
359 |
+
"loss": 0.0654,
|
360 |
+
"step": 52
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 4.0,
|
364 |
+
"eval_accuracy": 0.9230769230769231,
|
365 |
+
"eval_auc": 0.9916666666666667,
|
366 |
+
"eval_f1": 0.8,
|
367 |
+
"eval_loss": 0.16453494131565094,
|
368 |
+
"eval_precision": 1.0,
|
369 |
+
"eval_recall": 0.6666666666666666,
|
370 |
+
"eval_runtime": 0.9694,
|
371 |
+
"eval_samples_per_second": 26.822,
|
372 |
+
"eval_steps_per_second": 2.063,
|
373 |
+
"step": 52
|
374 |
+
}
|
375 |
+
],
|
376 |
+
"logging_steps": 1,
|
377 |
+
"max_steps": 130,
|
378 |
+
"num_input_tokens_seen": 0,
|
379 |
+
"num_train_epochs": 10,
|
380 |
+
"save_steps": 500,
|
381 |
+
"total_flos": 3.309499304194867e+17,
|
382 |
+
"train_batch_size": 8,
|
383 |
+
"trial_name": null,
|
384 |
+
"trial_params": null
|
385 |
+
}
|
checkpoint-52/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a94f4da9451b9ea96f5fbb9afc6b8e2d5d3a2e66133eab3493901de7e4d75796
|
3 |
+
size 4728
|
config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-large-patch32-384",
|
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": "keep",
|
14 |
+
"1": "remove"
|
15 |
+
},
|
16 |
+
"image_size": 384,
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 4096,
|
19 |
+
"label2id": {
|
20 |
+
"keep": 0,
|
21 |
+
"remove": 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": 32,
|
29 |
+
"problem_type": "single_label_classification",
|
30 |
+
"qkv_bias": true,
|
31 |
+
"torch_dtype": "float32",
|
32 |
+
"transformers_version": "4.37.0"
|
33 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c03d5afe88acf6cc7bc28ea45579ed7aa355aad392b45dc4aacbbb7c863cddf9
|
3 |
+
size 1222485480
|
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": 384,
|
20 |
+
"width": 384
|
21 |
+
}
|
22 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a94f4da9451b9ea96f5fbb9afc6b8e2d5d3a2e66133eab3493901de7e4d75796
|
3 |
+
size 4728
|
training_params.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "autotrain-image-classification-for-slides-240131/autotrain-data",
|
3 |
+
"model": "google/vit-large-patch32-384",
|
4 |
+
"username": "ruanwz",
|
5 |
+
"lr": 5e-05,
|
6 |
+
"epochs": 10,
|
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": "autotrain-image-classification-for-slides-240131",
|
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": "ruanwz/autotrain-image-classification-for-slides-240131",
|
25 |
+
"evaluation_strategy": "epoch",
|
26 |
+
"image_column": "autotrain_image",
|
27 |
+
"target_column": "autotrain_label",
|
28 |
+
"log": "none"
|
29 |
+
}
|