End of training
Browse files- README.md +5 -3
- all_results.json +12 -0
- eval_results.json +8 -0
- train_results.json +7 -0
- trainer_state.json +253 -0
README.md
CHANGED
@@ -2,6 +2,8 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: google/vit-huge-patch14-224-in21k
|
4 |
tags:
|
|
|
|
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
- imagefolder
|
@@ -14,7 +16,7 @@ model-index:
|
|
14 |
name: Image Classification
|
15 |
type: image-classification
|
16 |
dataset:
|
17 |
-
name:
|
18 |
type: imagefolder
|
19 |
config: default
|
20 |
split: train
|
@@ -30,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
30 |
|
31 |
# fashion-images-perspectives-vit-huge-patch14-224-in21k
|
32 |
|
33 |
-
This model is a fine-tuned version of [google/vit-huge-patch14-224-in21k](https://huggingface.co/google/vit-huge-patch14-224-in21k) on the
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss: 0.
|
36 |
- Accuracy: 0.9150
|
37 |
|
38 |
## Model description
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: google/vit-huge-patch14-224-in21k
|
4 |
tags:
|
5 |
+
- image-classification
|
6 |
+
- vision
|
7 |
- generated_from_trainer
|
8 |
datasets:
|
9 |
- imagefolder
|
|
|
16 |
name: Image Classification
|
17 |
type: image-classification
|
18 |
dataset:
|
19 |
+
name: touchtech/fashion-images-perspectives
|
20 |
type: imagefolder
|
21 |
config: default
|
22 |
split: train
|
|
|
32 |
|
33 |
# fashion-images-perspectives-vit-huge-patch14-224-in21k
|
34 |
|
35 |
+
This model is a fine-tuned version of [google/vit-huge-patch14-224-in21k](https://huggingface.co/google/vit-huge-patch14-224-in21k) on the touchtech/fashion-images-perspectives dataset.
|
36 |
It achieves the following results on the evaluation set:
|
37 |
+
- Loss: 0.2604
|
38 |
- Accuracy: 0.9150
|
39 |
|
40 |
## Model description
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 0.9149976711690732,
|
4 |
+
"eval_loss": 0.26038262248039246,
|
5 |
+
"eval_runtime": 354.8337,
|
6 |
+
"eval_samples_per_second": 12.101,
|
7 |
+
"eval_steps_per_second": 1.513,
|
8 |
+
"train_loss": 0.4780347077960955,
|
9 |
+
"train_runtime": 18614.0668,
|
10 |
+
"train_samples_per_second": 6.535,
|
11 |
+
"train_steps_per_second": 0.817
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 0.9149976711690732,
|
4 |
+
"eval_loss": 0.26038262248039246,
|
5 |
+
"eval_runtime": 354.8337,
|
6 |
+
"eval_samples_per_second": 12.101,
|
7 |
+
"eval_steps_per_second": 1.513
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"train_loss": 0.4780347077960955,
|
4 |
+
"train_runtime": 18614.0668,
|
5 |
+
"train_samples_per_second": 6.535,
|
6 |
+
"train_steps_per_second": 0.817
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,253 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.26038262248039246,
|
3 |
+
"best_model_checkpoint": "/workspace/training_output/perspectives-vit-huge-patch14-224-in21k/checkpoint-12168",
|
4 |
+
"epoch": 5.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 15210,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.16,
|
13 |
+
"learning_rate": 1.9342537804076265e-05,
|
14 |
+
"loss": 1.561,
|
15 |
+
"step": 500
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.33,
|
19 |
+
"learning_rate": 1.8685075608152533e-05,
|
20 |
+
"loss": 1.008,
|
21 |
+
"step": 1000
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.49,
|
25 |
+
"learning_rate": 1.80276134122288e-05,
|
26 |
+
"loss": 0.8167,
|
27 |
+
"step": 1500
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.66,
|
31 |
+
"learning_rate": 1.7370151216305063e-05,
|
32 |
+
"loss": 0.717,
|
33 |
+
"step": 2000
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.82,
|
37 |
+
"learning_rate": 1.671268902038133e-05,
|
38 |
+
"loss": 0.6546,
|
39 |
+
"step": 2500
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.99,
|
43 |
+
"learning_rate": 1.6055226824457594e-05,
|
44 |
+
"loss": 0.5932,
|
45 |
+
"step": 3000
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 1.0,
|
49 |
+
"eval_accuracy": 0.8889147647880764,
|
50 |
+
"eval_loss": 0.3862580955028534,
|
51 |
+
"eval_runtime": 426.1609,
|
52 |
+
"eval_samples_per_second": 10.076,
|
53 |
+
"eval_steps_per_second": 1.26,
|
54 |
+
"step": 3042
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 1.15,
|
58 |
+
"learning_rate": 1.539776462853386e-05,
|
59 |
+
"loss": 0.5426,
|
60 |
+
"step": 3500
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 1.31,
|
64 |
+
"learning_rate": 1.4740302432610125e-05,
|
65 |
+
"loss": 0.5235,
|
66 |
+
"step": 4000
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 1.48,
|
70 |
+
"learning_rate": 1.4082840236686392e-05,
|
71 |
+
"loss": 0.5008,
|
72 |
+
"step": 4500
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 1.64,
|
76 |
+
"learning_rate": 1.3425378040762658e-05,
|
77 |
+
"loss": 0.4795,
|
78 |
+
"step": 5000
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 1.81,
|
82 |
+
"learning_rate": 1.2767915844838923e-05,
|
83 |
+
"loss": 0.4353,
|
84 |
+
"step": 5500
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 1.97,
|
88 |
+
"learning_rate": 1.2110453648915189e-05,
|
89 |
+
"loss": 0.4286,
|
90 |
+
"step": 6000
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 2.0,
|
94 |
+
"eval_accuracy": 0.8642291569632045,
|
95 |
+
"eval_loss": 0.4201112985610962,
|
96 |
+
"eval_runtime": 405.9091,
|
97 |
+
"eval_samples_per_second": 10.579,
|
98 |
+
"eval_steps_per_second": 1.323,
|
99 |
+
"step": 6084
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 2.14,
|
103 |
+
"learning_rate": 1.1452991452991454e-05,
|
104 |
+
"loss": 0.4019,
|
105 |
+
"step": 6500
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 2.3,
|
109 |
+
"learning_rate": 1.0795529257067721e-05,
|
110 |
+
"loss": 0.4,
|
111 |
+
"step": 7000
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 2.47,
|
115 |
+
"learning_rate": 1.0138067061143987e-05,
|
116 |
+
"loss": 0.3997,
|
117 |
+
"step": 7500
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 2.63,
|
121 |
+
"learning_rate": 9.48060486522025e-06,
|
122 |
+
"loss": 0.3644,
|
123 |
+
"step": 8000
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 2.79,
|
127 |
+
"learning_rate": 8.823142669296516e-06,
|
128 |
+
"loss": 0.3684,
|
129 |
+
"step": 8500
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 2.96,
|
133 |
+
"learning_rate": 8.165680473372781e-06,
|
134 |
+
"loss": 0.3628,
|
135 |
+
"step": 9000
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 3.0,
|
139 |
+
"eval_accuracy": 0.9101071262226362,
|
140 |
+
"eval_loss": 0.28201931715011597,
|
141 |
+
"eval_runtime": 434.5616,
|
142 |
+
"eval_samples_per_second": 9.881,
|
143 |
+
"eval_steps_per_second": 1.236,
|
144 |
+
"step": 9126
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 3.12,
|
148 |
+
"learning_rate": 7.508218277449047e-06,
|
149 |
+
"loss": 0.3414,
|
150 |
+
"step": 9500
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 3.29,
|
154 |
+
"learning_rate": 6.850756081525313e-06,
|
155 |
+
"loss": 0.3458,
|
156 |
+
"step": 10000
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 3.45,
|
160 |
+
"learning_rate": 6.193293885601579e-06,
|
161 |
+
"loss": 0.3484,
|
162 |
+
"step": 10500
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 3.62,
|
166 |
+
"learning_rate": 5.535831689677844e-06,
|
167 |
+
"loss": 0.3679,
|
168 |
+
"step": 11000
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 3.78,
|
172 |
+
"learning_rate": 4.878369493754109e-06,
|
173 |
+
"loss": 0.328,
|
174 |
+
"step": 11500
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 3.94,
|
178 |
+
"learning_rate": 4.220907297830375e-06,
|
179 |
+
"loss": 0.3183,
|
180 |
+
"step": 12000
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 4.0,
|
184 |
+
"eval_accuracy": 0.9149976711690732,
|
185 |
+
"eval_loss": 0.26038262248039246,
|
186 |
+
"eval_runtime": 392.7229,
|
187 |
+
"eval_samples_per_second": 10.934,
|
188 |
+
"eval_steps_per_second": 1.367,
|
189 |
+
"step": 12168
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 4.11,
|
193 |
+
"learning_rate": 3.563445101906641e-06,
|
194 |
+
"loss": 0.3123,
|
195 |
+
"step": 12500
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 4.27,
|
199 |
+
"learning_rate": 2.9059829059829063e-06,
|
200 |
+
"loss": 0.309,
|
201 |
+
"step": 13000
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 4.44,
|
205 |
+
"learning_rate": 2.2485207100591717e-06,
|
206 |
+
"loss": 0.2992,
|
207 |
+
"step": 13500
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 4.6,
|
211 |
+
"learning_rate": 1.5910585141354374e-06,
|
212 |
+
"loss": 0.3119,
|
213 |
+
"step": 14000
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 4.77,
|
217 |
+
"learning_rate": 9.335963182117029e-07,
|
218 |
+
"loss": 0.3192,
|
219 |
+
"step": 14500
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 4.93,
|
223 |
+
"learning_rate": 2.7613412228796843e-07,
|
224 |
+
"loss": 0.2648,
|
225 |
+
"step": 15000
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 5.0,
|
229 |
+
"eval_accuracy": 0.9149976711690732,
|
230 |
+
"eval_loss": 0.27095553278923035,
|
231 |
+
"eval_runtime": 390.7206,
|
232 |
+
"eval_samples_per_second": 10.99,
|
233 |
+
"eval_steps_per_second": 1.374,
|
234 |
+
"step": 15210
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 5.0,
|
238 |
+
"step": 15210,
|
239 |
+
"total_flos": 6.9304343223654605e+19,
|
240 |
+
"train_loss": 0.4780347077960955,
|
241 |
+
"train_runtime": 18614.0668,
|
242 |
+
"train_samples_per_second": 6.535,
|
243 |
+
"train_steps_per_second": 0.817
|
244 |
+
}
|
245 |
+
],
|
246 |
+
"logging_steps": 500,
|
247 |
+
"max_steps": 15210,
|
248 |
+
"num_train_epochs": 5,
|
249 |
+
"save_steps": 500,
|
250 |
+
"total_flos": 6.9304343223654605e+19,
|
251 |
+
"trial_name": null,
|
252 |
+
"trial_params": null
|
253 |
+
}
|