beit-base-patch16-224_alpha0.5_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: 0.5472
- Accuracy: 0.7994
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 |
|---|---|---|---|---|
| 1.1991 | 1.0 | 90 | 1.4052 | 0.2826 |
| 0.9493 | 2.0 | 180 | 1.0380 | 0.5435 |
| 0.6304 | 3.0 | 270 | 0.6769 | 0.7352 |
| 0.4356 | 4.0 | 360 | 0.6236 | 0.7796 |
| 0.3103 | 5.0 | 450 | 0.6148 | 0.7668 |
| 0.2511 | 6.0 | 540 | 0.6114 | 0.7757 |
| 0.2325 | 7.0 | 630 | 0.5848 | 0.7974 |
| 0.2122 | 8.0 | 720 | 0.5919 | 0.7935 |
| 0.2001 | 9.0 | 810 | 0.6232 | 0.7806 |
| 0.1882 | 10.0 | 900 | 0.5793 | 0.7905 |
| 0.183 | 11.0 | 990 | 0.6269 | 0.7737 |
| 0.1725 | 12.0 | 1080 | 0.5524 | 0.8073 |
| 0.1628 | 13.0 | 1170 | 0.5641 | 0.7915 |
| 0.1573 | 14.0 | 1260 | 0.5472 | 0.7994 |
| 0.1579 | 15.0 | 1350 | 0.5699 | 0.7885 |
| 0.1539 | 16.0 | 1440 | 0.5585 | 0.7935 |
| 0.1547 | 17.0 | 1530 | 0.5541 | 0.7955 |
| 0.1449 | 18.0 | 1620 | 0.5601 | 0.7964 |
| 0.1463 | 19.0 | 1710 | 0.5563 | 0.7974 |
| 0.1421 | 20.0 | 1800 | 0.5571 | 0.8004 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1