beit-base-patch16-384_alpha0.7_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: 0.7145
- Accuracy: 0.8210
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 |
|---|---|---|---|---|
| 0.5651 | 1.0 | 164 | 1.4176 | 0.2581 |
| 0.513 | 2.0 | 328 | 1.2863 | 0.4642 |
| 0.3848 | 3.0 | 492 | 0.9326 | 0.6779 |
| 0.3243 | 4.0 | 656 | 0.8487 | 0.7462 |
| 0.2955 | 5.0 | 820 | 0.7188 | 0.8124 |
| 0.2665 | 6.0 | 984 | 0.7605 | 0.8059 |
| 0.2592 | 7.0 | 1148 | 0.7145 | 0.8210 |
| 0.256 | 8.0 | 1312 | 0.7547 | 0.7983 |
| 0.2509 | 9.0 | 1476 | 0.7419 | 0.8080 |
| 0.2361 | 10.0 | 1640 | 0.7513 | 0.8113 |
| 0.2333 | 11.0 | 1804 | 0.7794 | 0.7972 |
| 0.2365 | 12.0 | 1968 | 0.7325 | 0.8178 |
| 0.2271 | 13.0 | 2132 | 0.7417 | 0.8189 |
| 0.2317 | 14.0 | 2296 | 0.7332 | 0.8156 |
| 0.2316 | 15.0 | 2460 | 0.7399 | 0.8102 |
| 0.2265 | 16.0 | 2624 | 0.7357 | 0.8134 |
| 0.2304 | 17.0 | 2788 | 0.7330 | 0.8189 |
| 0.2201 | 18.0 | 2952 | 0.7288 | 0.8145 |
| 0.2253 | 19.0 | 3116 | 0.7330 | 0.8200 |
| 0.2197 | 20.0 | 3280 | 0.7306 | 0.8221 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1