beit-base-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: 0.6020
- Accuracy: 0.8547
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 |
|---|---|---|---|---|
| 0.8129 | 1.0 | 164 | 1.4044 | 0.2549 |
| 0.7193 | 2.0 | 328 | 1.1587 | 0.5065 |
| 0.5431 | 3.0 | 492 | 0.7722 | 0.7419 |
| 0.4342 | 4.0 | 656 | 0.7605 | 0.7581 |
| 0.3763 | 5.0 | 820 | 0.6501 | 0.8080 |
| 0.3418 | 6.0 | 984 | 0.6816 | 0.7907 |
| 0.323 | 7.0 | 1148 | 0.6434 | 0.8102 |
| 0.3123 | 8.0 | 1312 | 0.6709 | 0.8080 |
| 0.3109 | 9.0 | 1476 | 0.6393 | 0.8124 |
| 0.2944 | 10.0 | 1640 | 0.6249 | 0.8330 |
| 0.2928 | 11.0 | 1804 | 0.6533 | 0.8341 |
| 0.2966 | 12.0 | 1968 | 0.6237 | 0.8275 |
| 0.2845 | 13.0 | 2132 | 0.6263 | 0.8373 |
| 0.2933 | 14.0 | 2296 | 0.6042 | 0.8503 |
| 0.2917 | 15.0 | 2460 | 0.6152 | 0.8449 |
| 0.2865 | 16.0 | 2624 | 0.6020 | 0.8547 |
| 0.2923 | 17.0 | 2788 | 0.6055 | 0.8568 |
| 0.281 | 18.0 | 2952 | 0.6053 | 0.8438 |
| 0.2865 | 19.0 | 3116 | 0.6039 | 0.8503 |
| 0.28 | 20.0 | 3280 | 0.6057 | 0.8482 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1