deit-tiny-distilled-patch16-224_alpha0.5_temp3.0_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: 0.7123
- Accuracy: 0.7842
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 |
|---|---|---|---|---|
| 0.8039 | 1.0 | 164 | 1.3837 | 0.2733 |
| 0.7645 | 2.0 | 328 | 1.3707 | 0.2744 |
| 0.6389 | 3.0 | 492 | 1.0050 | 0.6443 |
| 0.4958 | 4.0 | 656 | 0.8329 | 0.7148 |
| 0.4273 | 5.0 | 820 | 0.7814 | 0.7343 |
| 0.3586 | 6.0 | 984 | 0.7849 | 0.7354 |
| 0.321 | 7.0 | 1148 | 0.7563 | 0.7570 |
| 0.3109 | 8.0 | 1312 | 0.7642 | 0.7484 |
| 0.313 | 9.0 | 1476 | 0.7382 | 0.7625 |
| 0.2939 | 10.0 | 1640 | 0.7508 | 0.7516 |
| 0.2923 | 11.0 | 1804 | 0.7446 | 0.7625 |
| 0.2962 | 12.0 | 1968 | 0.7362 | 0.7820 |
| 0.2844 | 13.0 | 2132 | 0.7123 | 0.7842 |
| 0.2883 | 14.0 | 2296 | 0.7210 | 0.7831 |
| 0.2895 | 15.0 | 2460 | 0.7299 | 0.7809 |
| 0.2872 | 16.0 | 2624 | 0.7198 | 0.7831 |
| 0.2893 | 17.0 | 2788 | 0.7218 | 0.7874 |
| 0.2794 | 18.0 | 2952 | 0.7164 | 0.7885 |
| 0.2869 | 19.0 | 3116 | 0.7181 | 0.7852 |
| 0.2796 | 20.0 | 3280 | 0.7190 | 0.7863 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1