deit-tiny-distilled-patch16-224_alpha0.7_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: 0.8283
- Accuracy: 0.6808
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 |
|---|---|---|---|---|
| 1.1465 | 1.0 | 90 | 1.4257 | 0.2856 |
| 1.0136 | 2.0 | 180 | 1.2902 | 0.4061 |
| 0.8581 | 3.0 | 270 | 1.1425 | 0.5099 |
| 0.6313 | 4.0 | 360 | 0.9627 | 0.6008 |
| 0.4469 | 5.0 | 450 | 0.8729 | 0.6265 |
| 0.307 | 6.0 | 540 | 0.9136 | 0.6275 |
| 0.2482 | 7.0 | 630 | 0.8533 | 0.6502 |
| 0.1911 | 8.0 | 720 | 0.8625 | 0.6561 |
| 0.1729 | 9.0 | 810 | 0.8415 | 0.6759 |
| 0.1548 | 10.0 | 900 | 0.8361 | 0.6700 |
| 0.1445 | 11.0 | 990 | 0.8495 | 0.6769 |
| 0.1438 | 12.0 | 1080 | 0.8442 | 0.6680 |
| 0.1294 | 13.0 | 1170 | 0.8405 | 0.6739 |
| 0.1279 | 14.0 | 1260 | 0.8366 | 0.6779 |
| 0.1238 | 15.0 | 1350 | 0.8354 | 0.6739 |
| 0.1207 | 16.0 | 1440 | 0.8447 | 0.6630 |
| 0.1185 | 17.0 | 1530 | 0.8283 | 0.6808 |
| 0.1118 | 18.0 | 1620 | 0.8335 | 0.6670 |
| 0.1116 | 19.0 | 1710 | 0.8291 | 0.6729 |
| 0.1074 | 20.0 | 1800 | 0.8299 | 0.6719 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1