deit-tiny-distilled-patch16-224_alpha0.7_temp3.0_t3
This model is a fine-tuned version of c14kevincardenas/ClimBEiT-t3 on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb dataset. It achieves the following results on the evaluation set:
- Loss: 0.8429
- Accuracy: 0.7364
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.5593 | 1.0 | 164 | 1.4039 | 0.2560 |
| 0.5319 | 2.0 | 328 | 1.3999 | 0.2625 |
| 0.4554 | 3.0 | 492 | 1.0965 | 0.5738 |
| 0.363 | 4.0 | 656 | 0.9394 | 0.6540 |
| 0.3129 | 5.0 | 820 | 0.9088 | 0.6833 |
| 0.2708 | 6.0 | 984 | 0.8930 | 0.7007 |
| 0.2545 | 7.0 | 1148 | 0.8580 | 0.7484 |
| 0.2434 | 8.0 | 1312 | 0.8507 | 0.7343 |
| 0.2437 | 9.0 | 1476 | 0.8724 | 0.7180 |
| 0.2275 | 10.0 | 1640 | 0.8506 | 0.7278 |
| 0.2253 | 11.0 | 1804 | 0.8702 | 0.7148 |
| 0.2303 | 12.0 | 1968 | 0.8616 | 0.7364 |
| 0.2199 | 13.0 | 2132 | 0.8450 | 0.7462 |
| 0.2236 | 14.0 | 2296 | 0.8429 | 0.7364 |
| 0.2257 | 15.0 | 2460 | 0.8610 | 0.7375 |
| 0.2235 | 16.0 | 2624 | 0.8462 | 0.7397 |
| 0.2256 | 17.0 | 2788 | 0.8512 | 0.7408 |
| 0.2168 | 18.0 | 2952 | 0.8454 | 0.7397 |
| 0.2232 | 19.0 | 3116 | 0.8490 | 0.7321 |
| 0.217 | 20.0 | 3280 | 0.8492 | 0.7354 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1