limbxy_pose_2heads_1layers_32embeddim
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: 0.1391
- Rmse: 0.3729
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 |
|---|---|---|---|---|
| 0.214 | 1.0 | 89 | 0.1933 | 0.4396 |
| 0.161 | 2.0 | 178 | 0.1474 | 0.3839 |
| 0.1634 | 3.0 | 267 | 0.1541 | 0.3925 |
| 0.1547 | 4.0 | 356 | 0.1495 | 0.3867 |
| 0.1674 | 5.0 | 445 | 0.1680 | 0.4098 |
| 0.1644 | 6.0 | 534 | 0.1473 | 0.3838 |
| 0.1459 | 7.0 | 623 | 0.1405 | 0.3748 |
| 0.1544 | 8.0 | 712 | 0.1514 | 0.3891 |
| 0.1531 | 9.0 | 801 | 0.1419 | 0.3767 |
| 0.1468 | 10.0 | 890 | 0.1422 | 0.3770 |
| 0.143 | 11.0 | 979 | 0.1447 | 0.3804 |
| 0.1467 | 12.0 | 1068 | 0.1597 | 0.3996 |
| 0.149 | 13.0 | 1157 | 0.1394 | 0.3733 |
| 0.139 | 14.0 | 1246 | 0.1412 | 0.3758 |
| 0.1433 | 15.0 | 1335 | 0.1397 | 0.3738 |
| 0.1426 | 16.0 | 1424 | 0.1396 | 0.3736 |
| 0.1403 | 17.0 | 1513 | 0.1396 | 0.3737 |
| 0.1393 | 18.0 | 1602 | 0.1393 | 0.3733 |
| 0.1426 | 19.0 | 1691 | 0.1391 | 0.3730 |
| 0.1387 | 20.0 | 1780 | 0.1391 | 0.3729 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1