swin-tiny-patch4-window7-224_alpha0.5_temp3.0
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: 0.5948
- Accuracy: 0.7925
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 |
|---|---|---|---|---|
| 1.2209 | 1.0 | 90 | 1.4077 | 0.2727 |
| 1.0885 | 2.0 | 180 | 1.2163 | 0.4407 |
| 0.8453 | 3.0 | 270 | 0.9650 | 0.5850 |
| 0.6364 | 4.0 | 360 | 0.7619 | 0.7016 |
| 0.4816 | 5.0 | 450 | 0.6795 | 0.7480 |
| 0.3772 | 6.0 | 540 | 0.6776 | 0.7599 |
| 0.3145 | 7.0 | 630 | 0.6579 | 0.7638 |
| 0.2638 | 8.0 | 720 | 0.6325 | 0.7727 |
| 0.2466 | 9.0 | 810 | 0.6574 | 0.7767 |
| 0.2318 | 10.0 | 900 | 0.6499 | 0.7628 |
| 0.2069 | 11.0 | 990 | 0.6260 | 0.7856 |
| 0.1938 | 12.0 | 1080 | 0.6059 | 0.7935 |
| 0.1873 | 13.0 | 1170 | 0.6024 | 0.7895 |
| 0.1824 | 14.0 | 1260 | 0.6062 | 0.7826 |
| 0.1818 | 15.0 | 1350 | 0.5969 | 0.7955 |
| 0.1749 | 16.0 | 1440 | 0.6104 | 0.7866 |
| 0.1726 | 17.0 | 1530 | 0.6117 | 0.7945 |
| 0.1607 | 18.0 | 1620 | 0.5983 | 0.7915 |
| 0.1635 | 19.0 | 1710 | 0.5950 | 0.7915 |
| 0.1607 | 20.0 | 1800 | 0.5948 | 0.7925 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1