deit-tiny-distilled-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: 0.8363
- Accuracy: 0.7473
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 |
|---|---|---|---|---|
| 0.5597 | 1.0 | 164 | 1.4047 | 0.2549 |
| 0.5314 | 2.0 | 328 | 1.3956 | 0.2625 |
| 0.4538 | 3.0 | 492 | 1.0888 | 0.5759 |
| 0.3622 | 4.0 | 656 | 0.9513 | 0.6388 |
| 0.3137 | 5.0 | 820 | 0.9170 | 0.6800 |
| 0.2708 | 6.0 | 984 | 0.8860 | 0.7028 |
| 0.2519 | 7.0 | 1148 | 0.8460 | 0.7495 |
| 0.2431 | 8.0 | 1312 | 0.8368 | 0.7191 |
| 0.2427 | 9.0 | 1476 | 0.8486 | 0.7310 |
| 0.2257 | 10.0 | 1640 | 0.8432 | 0.7397 |
| 0.2237 | 11.0 | 1804 | 0.8530 | 0.7213 |
| 0.229 | 12.0 | 1968 | 0.8623 | 0.7256 |
| 0.2182 | 13.0 | 2132 | 0.8367 | 0.7462 |
| 0.2222 | 14.0 | 2296 | 0.8380 | 0.7440 |
| 0.2236 | 15.0 | 2460 | 0.8538 | 0.7386 |
| 0.2213 | 16.0 | 2624 | 0.8363 | 0.7473 |
| 0.2242 | 17.0 | 2788 | 0.8428 | 0.7451 |
| 0.2148 | 18.0 | 2952 | 0.8365 | 0.7473 |
| 0.2213 | 19.0 | 3116 | 0.8387 | 0.7440 |
| 0.215 | 20.0 | 3280 | 0.8400 | 0.7419 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1