mobilevit-x-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: 0.9618
- Accuracy: 0.6562
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 |
|---|---|---|---|---|
| 0.5533 | 1.0 | 164 | 1.3960 | 0.2744 |
| 0.5292 | 2.0 | 328 | 1.3454 | 0.2972 |
| 0.4766 | 3.0 | 492 | 1.2178 | 0.4848 |
| 0.4393 | 4.0 | 656 | 1.1268 | 0.5488 |
| 0.4237 | 5.0 | 820 | 1.0611 | 0.5846 |
| 0.3992 | 6.0 | 984 | 1.0341 | 0.6074 |
| 0.3827 | 7.0 | 1148 | 1.0388 | 0.5976 |
| 0.3843 | 8.0 | 1312 | 1.0189 | 0.6150 |
| 0.3707 | 9.0 | 1476 | 0.9944 | 0.6247 |
| 0.3523 | 10.0 | 1640 | 1.0051 | 0.6150 |
| 0.351 | 11.0 | 1804 | 1.0020 | 0.6106 |
| 0.3541 | 12.0 | 1968 | 0.9797 | 0.6410 |
| 0.3336 | 13.0 | 2132 | 0.9624 | 0.6443 |
| 0.3365 | 14.0 | 2296 | 0.9929 | 0.6345 |
| 0.3333 | 15.0 | 2460 | 0.9805 | 0.6345 |
| 0.3305 | 16.0 | 2624 | 0.9753 | 0.6399 |
| 0.3274 | 17.0 | 2788 | 0.9668 | 0.6518 |
| 0.3167 | 18.0 | 2952 | 0.9618 | 0.6562 |
| 0.3228 | 19.0 | 3116 | 0.9693 | 0.6388 |
| 0.3163 | 20.0 | 3280 | 0.9693 | 0.6443 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1