beit-base-patch16-224_alpha0.7_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: 0.7231
- Accuracy: 0.8080
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 |
|---|---|---|---|---|
| 0.5663 | 1.0 | 164 | 1.4230 | 0.2549 |
| 0.5186 | 2.0 | 328 | 1.2953 | 0.4024 |
| 0.3841 | 3.0 | 492 | 0.8618 | 0.7289 |
| 0.3209 | 4.0 | 656 | 0.8259 | 0.7505 |
| 0.2829 | 5.0 | 820 | 0.7344 | 0.8037 |
| 0.2556 | 6.0 | 984 | 0.7868 | 0.7939 |
| 0.2507 | 7.0 | 1148 | 0.7231 | 0.8080 |
| 0.2438 | 8.0 | 1312 | 0.7640 | 0.7842 |
| 0.2438 | 9.0 | 1476 | 0.7505 | 0.8048 |
| 0.2297 | 10.0 | 1640 | 0.7407 | 0.8178 |
| 0.227 | 11.0 | 1804 | 0.7734 | 0.7993 |
| 0.2303 | 12.0 | 1968 | 0.7463 | 0.7950 |
| 0.2221 | 13.0 | 2132 | 0.7577 | 0.7928 |
| 0.2256 | 14.0 | 2296 | 0.7403 | 0.8124 |
| 0.2267 | 15.0 | 2460 | 0.7455 | 0.8059 |
| 0.2222 | 16.0 | 2624 | 0.7406 | 0.8069 |
| 0.2268 | 17.0 | 2788 | 0.7435 | 0.8102 |
| 0.2168 | 18.0 | 2952 | 0.7401 | 0.8059 |
| 0.2224 | 19.0 | 3116 | 0.7402 | 0.8048 |
| 0.217 | 20.0 | 3280 | 0.7440 | 0.8037 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1