swin-tiny-patch4-window7-224_alpha0.5_temp5.0_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: 0.6308
- Accuracy: 0.8178
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 |
|---|---|---|---|---|
| 0.8115 | 1.0 | 164 | 1.4105 | 0.2560 |
| 0.7178 | 2.0 | 328 | 1.1599 | 0.4685 |
| 0.5783 | 3.0 | 492 | 0.9091 | 0.6616 |
| 0.4814 | 4.0 | 656 | 0.8235 | 0.7137 |
| 0.4242 | 5.0 | 820 | 0.7623 | 0.7560 |
| 0.3773 | 6.0 | 984 | 0.7324 | 0.7777 |
| 0.3503 | 7.0 | 1148 | 0.6889 | 0.8080 |
| 0.3418 | 8.0 | 1312 | 0.6577 | 0.8091 |
| 0.3284 | 9.0 | 1476 | 0.6747 | 0.8015 |
| 0.3015 | 10.0 | 1640 | 0.6572 | 0.8091 |
| 0.2979 | 11.0 | 1804 | 0.6616 | 0.8156 |
| 0.3018 | 12.0 | 1968 | 0.6517 | 0.8341 |
| 0.286 | 13.0 | 2132 | 0.6450 | 0.8308 |
| 0.2976 | 14.0 | 2296 | 0.6335 | 0.8330 |
| 0.2938 | 15.0 | 2460 | 0.6308 | 0.8178 |
| 0.2894 | 16.0 | 2624 | 0.6356 | 0.8297 |
| 0.2899 | 17.0 | 2788 | 0.6426 | 0.8330 |
| 0.2837 | 18.0 | 2952 | 0.6312 | 0.8286 |
| 0.2874 | 19.0 | 3116 | 0.6341 | 0.8275 |
| 0.28 | 20.0 | 3280 | 0.6328 | 0.8351 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1