beit-base-patch16-384_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: 0.5753
- Accuracy: 0.8547
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 | 1.4100 | 0.2549 |
| 0.7144 | 2.0 | 328 | 1.1924 | 0.4328 |
| 0.5506 | 3.0 | 492 | 0.8301 | 0.7364 |
| 0.4594 | 4.0 | 656 | 0.7320 | 0.7852 |
| 0.3955 | 5.0 | 820 | 0.6395 | 0.8124 |
| 0.3511 | 6.0 | 984 | 0.6268 | 0.8167 |
| 0.3292 | 7.0 | 1148 | 0.6236 | 0.8254 |
| 0.3197 | 8.0 | 1312 | 0.6250 | 0.8265 |
| 0.3173 | 9.0 | 1476 | 0.6289 | 0.8351 |
| 0.2963 | 10.0 | 1640 | 0.6381 | 0.8200 |
| 0.2915 | 11.0 | 1804 | 0.6562 | 0.8189 |
| 0.2948 | 12.0 | 1968 | 0.5872 | 0.8330 |
| 0.2848 | 13.0 | 2132 | 0.6199 | 0.8373 |
| 0.2873 | 14.0 | 2296 | 0.5970 | 0.8373 |
| 0.2885 | 15.0 | 2460 | 0.5928 | 0.8373 |
| 0.2829 | 16.0 | 2624 | 0.5842 | 0.8514 |
| 0.2895 | 17.0 | 2788 | 0.5851 | 0.8579 |
| 0.2759 | 18.0 | 2952 | 0.5753 | 0.8547 |
| 0.2825 | 19.0 | 3116 | 0.5779 | 0.8514 |
| 0.2758 | 20.0 | 3280 | 0.5770 | 0.8525 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1