mobilevit-x-small_alpha0.7_temp5.0
This model is a fine-tuned version of c14kevincardenas/ClimBEiTv2 on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb_2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8373
- Accuracy: 0.6621
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|
| 1.1201 | 1.0 | 90 | 1.3907 | 0.2915 |
| 1.0793 | 2.0 | 180 | 1.3214 | 0.3775 |
| 0.9679 | 3.0 | 270 | 1.1766 | 0.4644 |
| 0.844 | 4.0 | 360 | 1.0511 | 0.5316 |
| 0.745 | 5.0 | 450 | 0.9649 | 0.5810 |
| 0.7137 | 6.0 | 540 | 0.9291 | 0.5800 |
| 0.6625 | 7.0 | 630 | 0.8924 | 0.6235 |
| 0.6515 | 8.0 | 720 | 0.9113 | 0.6018 |
| 0.604 | 9.0 | 810 | 0.8726 | 0.6324 |
| 0.6031 | 10.0 | 900 | 0.8651 | 0.6472 |
| 0.5679 | 11.0 | 990 | 0.8491 | 0.6532 |
| 0.5615 | 12.0 | 1080 | 0.8680 | 0.6324 |
| 0.5364 | 13.0 | 1170 | 0.8812 | 0.6255 |
| 0.507 | 14.0 | 1260 | 0.8634 | 0.6334 |
| 0.5122 | 15.0 | 1350 | 0.8725 | 0.6383 |
| 0.501 | 16.0 | 1440 | 0.8544 | 0.6502 |
| 0.4927 | 17.0 | 1530 | 0.8533 | 0.6502 |
| 0.4891 | 18.0 | 1620 | 0.8573 | 0.6482 |
| 0.4767 | 19.0 | 1710 | 0.8373 | 0.6621 |
| 0.4903 | 20.0 | 1800 | 0.8546 | 0.6472 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1