swin-tiny-patch4-window7-224_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: 0.6171
- Accuracy: 0.7846
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 |
|---|---|---|---|---|
| 1.1268 | 1.0 | 90 | 1.4176 | 0.2816 |
| 1.0188 | 2.0 | 180 | 1.2295 | 0.4328 |
| 0.7746 | 3.0 | 270 | 0.9900 | 0.5810 |
| 0.5837 | 4.0 | 360 | 0.7797 | 0.6887 |
| 0.4252 | 5.0 | 450 | 0.7051 | 0.7549 |
| 0.3312 | 6.0 | 540 | 0.6723 | 0.7628 |
| 0.2824 | 7.0 | 630 | 0.6632 | 0.7658 |
| 0.23 | 8.0 | 720 | 0.6645 | 0.7658 |
| 0.2136 | 9.0 | 810 | 0.6822 | 0.7628 |
| 0.1945 | 10.0 | 900 | 0.6596 | 0.7708 |
| 0.1714 | 11.0 | 990 | 0.6373 | 0.7747 |
| 0.1629 | 12.0 | 1080 | 0.6352 | 0.7806 |
| 0.156 | 13.0 | 1170 | 0.6299 | 0.7836 |
| 0.1515 | 14.0 | 1260 | 0.6171 | 0.7846 |
| 0.15 | 15.0 | 1350 | 0.6194 | 0.7885 |
| 0.1405 | 16.0 | 1440 | 0.6302 | 0.7816 |
| 0.1397 | 17.0 | 1530 | 0.6268 | 0.7836 |
| 0.1292 | 18.0 | 1620 | 0.6223 | 0.7796 |
| 0.1309 | 19.0 | 1710 | 0.6194 | 0.7905 |
| 0.1289 | 20.0 | 1800 | 0.6186 | 0.7935 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1