deit-small-distilled-patch16-224_alpha0.7_temp3.0
This model is a fine-tuned version of c14kevincardenas/ClimBEiTv2 on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb_2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7187
- Accuracy: 0.7292
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1503 | 1.0 | 90 | 1.4292 | 0.2717 |
| 1.0007 | 2.0 | 180 | 1.2262 | 0.4526 |
| 0.6862 | 3.0 | 270 | 0.8957 | 0.6186 |
| 0.4297 | 4.0 | 360 | 0.7742 | 0.6927 |
| 0.2549 | 5.0 | 450 | 0.7670 | 0.7006 |
| 0.1769 | 6.0 | 540 | 0.8104 | 0.6848 |
| 0.1607 | 7.0 | 630 | 0.7589 | 0.7243 |
| 0.1481 | 8.0 | 720 | 0.7446 | 0.7174 |
| 0.1418 | 9.0 | 810 | 0.7526 | 0.7134 |
| 0.1308 | 10.0 | 900 | 0.7379 | 0.7204 |
| 0.1246 | 11.0 | 990 | 0.7421 | 0.7283 |
| 0.1226 | 12.0 | 1080 | 0.7369 | 0.7184 |
| 0.1143 | 13.0 | 1170 | 0.7189 | 0.7332 |
| 0.1125 | 14.0 | 1260 | 0.7187 | 0.7292 |
| 0.1109 | 15.0 | 1350 | 0.7294 | 0.7292 |
| 0.1087 | 16.0 | 1440 | 0.7224 | 0.7213 |
| 0.1075 | 17.0 | 1530 | 0.7298 | 0.7243 |
| 0.1015 | 18.0 | 1620 | 0.7258 | 0.7253 |
| 0.1042 | 19.0 | 1710 | 0.7268 | 0.7273 |
| 0.1014 | 20.0 | 1800 | 0.7265 | 0.7263 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1