deit-tiny-distilled-patch16-224_alpha0.5_temp5.0_t3
This model is a fine-tuned version of c14kevincardenas/ClimBEiT-t3 on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb dataset. It achieves the following results on the evaluation set:
- Loss: 0.7113
- Accuracy: 0.7874
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.8044 | 1.0 | 164 | 1.3844 | 0.2701 |
| 0.7648 | 2.0 | 328 | 1.3690 | 0.2798 |
| 0.6383 | 3.0 | 492 | 1.0005 | 0.6399 |
| 0.4941 | 4.0 | 656 | 0.8374 | 0.6996 |
| 0.4194 | 5.0 | 820 | 0.7788 | 0.7462 |
| 0.3512 | 6.0 | 984 | 0.7797 | 0.7462 |
| 0.326 | 7.0 | 1148 | 0.7322 | 0.7636 |
| 0.309 | 8.0 | 1312 | 0.7521 | 0.7538 |
| 0.3064 | 9.0 | 1476 | 0.7324 | 0.7701 |
| 0.2878 | 10.0 | 1640 | 0.7404 | 0.7549 |
| 0.2859 | 11.0 | 1804 | 0.7296 | 0.7711 |
| 0.2909 | 12.0 | 1968 | 0.7288 | 0.7766 |
| 0.2794 | 13.0 | 2132 | 0.7159 | 0.7820 |
| 0.2835 | 14.0 | 2296 | 0.7187 | 0.7766 |
| 0.2845 | 15.0 | 2460 | 0.7233 | 0.7842 |
| 0.2821 | 16.0 | 2624 | 0.7119 | 0.7863 |
| 0.2849 | 17.0 | 2788 | 0.7158 | 0.7787 |
| 0.2744 | 18.0 | 2952 | 0.7113 | 0.7874 |
| 0.282 | 19.0 | 3116 | 0.7140 | 0.7831 |
| 0.2743 | 20.0 | 3280 | 0.7148 | 0.7820 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1