mobilevit-x-small_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: 0.8649
- Accuracy: 0.6833
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 |
|---|---|---|---|---|
| 0.7932 | 1.0 | 164 | 1.3866 | 0.2755 |
| 0.7662 | 2.0 | 328 | 1.3513 | 0.3178 |
| 0.6878 | 3.0 | 492 | 1.1694 | 0.4881 |
| 0.6218 | 4.0 | 656 | 1.0661 | 0.5651 |
| 0.5987 | 5.0 | 820 | 0.9977 | 0.6150 |
| 0.56 | 6.0 | 984 | 0.9475 | 0.6367 |
| 0.5365 | 7.0 | 1148 | 0.9845 | 0.6193 |
| 0.5345 | 8.0 | 1312 | 0.9277 | 0.6508 |
| 0.5115 | 9.0 | 1476 | 0.8977 | 0.6540 |
| 0.486 | 10.0 | 1640 | 0.9238 | 0.6605 |
| 0.4781 | 11.0 | 1804 | 0.9176 | 0.6540 |
| 0.4817 | 12.0 | 1968 | 0.8862 | 0.6779 |
| 0.4524 | 13.0 | 2132 | 0.8682 | 0.6866 |
| 0.4557 | 14.0 | 2296 | 0.8980 | 0.6627 |
| 0.456 | 15.0 | 2460 | 0.8837 | 0.6768 |
| 0.4469 | 16.0 | 2624 | 0.8789 | 0.6790 |
| 0.4443 | 17.0 | 2788 | 0.8708 | 0.6790 |
| 0.4266 | 18.0 | 2952 | 0.8649 | 0.6833 |
| 0.4352 | 19.0 | 3116 | 0.8735 | 0.6768 |
| 0.4239 | 20.0 | 3280 | 0.8790 | 0.6681 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1