limbxy_pose_2heads_1layers_64embeddim
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: 0.0148
- Rmse: 0.1218
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 |
|---|---|---|---|---|
| 0.2345 | 1.0 | 89 | 0.2326 | 0.4823 |
| 0.2345 | 2.0 | 178 | 0.2326 | 0.4823 |
| 0.2177 | 3.0 | 267 | 0.1564 | 0.3954 |
| 0.2261 | 4.0 | 356 | 0.1935 | 0.4399 |
| 0.1607 | 5.0 | 445 | 0.1622 | 0.4028 |
| 0.1566 | 6.0 | 534 | 0.1466 | 0.3829 |
| 0.1579 | 7.0 | 623 | 0.1461 | 0.3822 |
| 0.1596 | 8.0 | 712 | 0.1493 | 0.3863 |
| 0.1524 | 9.0 | 801 | 0.1456 | 0.3816 |
| 0.1477 | 10.0 | 890 | 0.1447 | 0.3804 |
| 0.1618 | 11.0 | 979 | 0.1677 | 0.4095 |
| 0.0386 | 12.0 | 1068 | 0.0263 | 0.1620 |
| 0.0246 | 13.0 | 1157 | 0.0348 | 0.1864 |
| 0.0254 | 14.0 | 1246 | 0.0181 | 0.1344 |
| 0.0194 | 15.0 | 1335 | 0.0156 | 0.1250 |
| 0.0166 | 16.0 | 1424 | 0.0175 | 0.1323 |
| 0.0169 | 17.0 | 1513 | 0.0152 | 0.1234 |
| 0.0148 | 18.0 | 1602 | 0.0196 | 0.1399 |
| 0.0148 | 19.0 | 1691 | 0.0164 | 0.1279 |
| 0.0141 | 20.0 | 1780 | 0.0148 | 0.1218 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1