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samolet_encoder_finetuned
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the ummagumm-a/samolet_frames dataset. It achieves the following results on the evaluation set:
- Loss: 0.1165
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3356 | 1.0 | 87 | 0.3257 |
| 0.2405 | 2.0 | 174 | 0.2403 |
| 0.1623 | 3.0 | 261 | 0.1606 |
| 0.1452 | 4.0 | 348 | 0.1454 |
| 0.1373 | 5.0 | 435 | 0.1413 |
| 0.1304 | 6.0 | 522 | 0.1369 |
| 0.129 | 7.0 | 609 | 0.1346 |
| 0.1291 | 8.0 | 696 | 0.1299 |
| 0.1277 | 9.0 | 783 | 0.1294 |
| 0.1244 | 10.0 | 870 | 0.1284 |
| 0.1275 | 11.0 | 957 | 0.1285 |
| 0.1196 | 12.0 | 1044 | 0.1264 |
| 0.1219 | 13.0 | 1131 | 0.1263 |
| 0.1195 | 14.0 | 1218 | 0.1265 |
| 0.1231 | 15.0 | 1305 | 0.1239 |
| 0.1208 | 16.0 | 1392 | 0.1216 |
| 0.118 | 17.0 | 1479 | 0.1223 |
| 0.1143 | 18.0 | 1566 | 0.1201 |
| 0.1177 | 19.0 | 1653 | 0.1198 |
| 0.1139 | 20.0 | 1740 | 0.1194 |
| 0.1152 | 21.0 | 1827 | 0.1193 |
| 0.1162 | 22.0 | 1914 | 0.1199 |
| 0.1113 | 23.0 | 2001 | 0.1183 |
| 0.1134 | 24.0 | 2088 | 0.1183 |
| 0.1136 | 25.0 | 2175 | 0.1184 |
| 0.1132 | 26.0 | 2262 | 0.1196 |
| 0.1156 | 27.0 | 2349 | 0.1185 |
| 0.1153 | 28.0 | 2436 | 0.1166 |
| 0.1139 | 29.0 | 2523 | 0.1153 |
| 0.1103 | 30.0 | 2610 | 0.1164 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
