limbxy_pose_8heads_1layers_8embeddim
This model is a fine-tuned version of c14kevincardenas/beit-large-patch16-384-limb on the c14kevincardenas/beta_caller_284_limbxy_pose dataset. It achieves the following results on the evaluation set:
- Loss: 0.1402
- Rmse: 0.3745
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: 2014
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|---|---|---|---|---|
| 0.3414 | 1.0 | 89 | 0.3311 | 0.5754 |
| 0.1834 | 2.0 | 178 | 0.2026 | 0.4501 |
| 0.1645 | 3.0 | 267 | 0.1491 | 0.3862 |
| 0.1729 | 4.0 | 356 | 0.2542 | 0.5042 |
| 0.1612 | 5.0 | 445 | 0.1539 | 0.3923 |
| 0.1578 | 6.0 | 534 | 0.1464 | 0.3827 |
| 0.1594 | 7.0 | 623 | 0.1860 | 0.4313 |
| 0.1546 | 8.0 | 712 | 0.1433 | 0.3785 |
| 0.1517 | 9.0 | 801 | 0.1416 | 0.3763 |
| 0.1461 | 10.0 | 890 | 0.1576 | 0.3969 |
| 0.1519 | 11.0 | 979 | 0.1623 | 0.4029 |
| 0.1491 | 12.0 | 1068 | 0.1411 | 0.3756 |
| 0.1489 | 13.0 | 1157 | 0.1416 | 0.3763 |
| 0.1425 | 14.0 | 1246 | 0.1426 | 0.3776 |
| 0.145 | 15.0 | 1335 | 0.1407 | 0.3751 |
| 0.1418 | 16.0 | 1424 | 0.1443 | 0.3799 |
| 0.1411 | 17.0 | 1513 | 0.1403 | 0.3745 |
| 0.1398 | 18.0 | 1602 | 0.1403 | 0.3746 |
| 0.143 | 19.0 | 1691 | 0.1405 | 0.3749 |
| 0.1395 | 20.0 | 1780 | 0.1402 | 0.3745 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1