beit-base-patch16-224_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: 0.5297
- Accuracy: 0.8142
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 |
|---|---|---|---|---|
| 1.2129 | 1.0 | 90 | 1.4057 | 0.2787 |
| 0.9595 | 2.0 | 180 | 1.0680 | 0.5435 |
| 0.6331 | 3.0 | 270 | 0.6700 | 0.7480 |
| 0.4388 | 4.0 | 360 | 0.6401 | 0.7727 |
| 0.312 | 5.0 | 450 | 0.5945 | 0.7767 |
| 0.2499 | 6.0 | 540 | 0.6064 | 0.7796 |
| 0.2294 | 7.0 | 630 | 0.5901 | 0.7945 |
| 0.2119 | 8.0 | 720 | 0.5700 | 0.8063 |
| 0.2002 | 9.0 | 810 | 0.6045 | 0.7866 |
| 0.1878 | 10.0 | 900 | 0.5636 | 0.7984 |
| 0.1851 | 11.0 | 990 | 0.5647 | 0.7885 |
| 0.1782 | 12.0 | 1080 | 0.5441 | 0.8103 |
| 0.1647 | 13.0 | 1170 | 0.5367 | 0.8123 |
| 0.158 | 14.0 | 1260 | 0.5515 | 0.8043 |
| 0.1592 | 15.0 | 1350 | 0.5537 | 0.7984 |
| 0.1565 | 16.0 | 1440 | 0.5411 | 0.8083 |
| 0.1561 | 17.0 | 1530 | 0.5297 | 0.8142 |
| 0.1447 | 18.0 | 1620 | 0.5404 | 0.8123 |
| 0.148 | 19.0 | 1710 | 0.5337 | 0.8123 |
| 0.1442 | 20.0 | 1800 | 0.5359 | 0.8123 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1