mobilevit-small_alpha0.7_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: 0.9566
- Accuracy: 0.6584
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 |
|---|---|---|---|---|
| 0.5605 | 1.0 | 164 | 1.4026 | 0.2625 |
| 0.5309 | 2.0 | 328 | 1.3395 | 0.3210 |
| 0.4735 | 3.0 | 492 | 1.1833 | 0.4967 |
| 0.4298 | 4.0 | 656 | 1.1390 | 0.5260 |
| 0.4036 | 5.0 | 820 | 1.0785 | 0.5748 |
| 0.3936 | 6.0 | 984 | 1.0463 | 0.5922 |
| 0.3746 | 7.0 | 1148 | 1.0220 | 0.6074 |
| 0.3644 | 8.0 | 1312 | 1.0024 | 0.6312 |
| 0.3514 | 9.0 | 1476 | 0.9987 | 0.6161 |
| 0.3366 | 10.0 | 1640 | 1.0162 | 0.6247 |
| 0.3377 | 11.0 | 1804 | 1.0073 | 0.6074 |
| 0.3291 | 12.0 | 1968 | 0.9801 | 0.6323 |
| 0.3156 | 13.0 | 2132 | 0.9602 | 0.6584 |
| 0.3177 | 14.0 | 2296 | 0.9742 | 0.6443 |
| 0.31 | 15.0 | 2460 | 0.9683 | 0.6486 |
| 0.3071 | 16.0 | 2624 | 0.9692 | 0.6508 |
| 0.3077 | 17.0 | 2788 | 0.9566 | 0.6573 |
| 0.2957 | 18.0 | 2952 | 0.9566 | 0.6584 |
| 0.3017 | 19.0 | 3116 | 0.9575 | 0.6649 |
| 0.2911 | 20.0 | 3280 | 0.9593 | 0.6573 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1