limbxy_hands
This model is a fine-tuned version of c14kevincardenas/beit-large-patch16-384-limb on the c14kevincardenas/beta_caller_284_limbxy_hands dataset. It achieves the following results on the evaluation set:
- Loss: 0.0048
- Rmse: 0.0691
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 |
|---|---|---|---|---|
| 0.1563 | 1.0 | 51 | 0.1439 | 0.3793 |
| 0.066 | 2.0 | 102 | 0.0629 | 0.2507 |
| 0.031 | 3.0 | 153 | 0.0240 | 0.1550 |
| 0.0189 | 4.0 | 204 | 0.0222 | 0.1491 |
| 0.0362 | 5.0 | 255 | 0.0700 | 0.2646 |
| 0.0106 | 6.0 | 306 | 0.0118 | 0.1088 |
| 0.0217 | 7.0 | 357 | 0.0419 | 0.2048 |
| 0.0167 | 8.0 | 408 | 0.0170 | 0.1303 |
| 0.0078 | 9.0 | 459 | 0.0111 | 0.1052 |
| 0.0102 | 10.0 | 510 | 0.0158 | 0.1256 |
| 0.009 | 11.0 | 561 | 0.0064 | 0.0802 |
| 0.0067 | 12.0 | 612 | 0.0074 | 0.0862 |
| 0.0047 | 13.0 | 663 | 0.0055 | 0.0739 |
| 0.0036 | 14.0 | 714 | 0.0068 | 0.0827 |
| 0.0072 | 15.0 | 765 | 0.0075 | 0.0869 |
| 0.006 | 16.0 | 816 | 0.0055 | 0.0739 |
| 0.0022 | 17.0 | 867 | 0.0052 | 0.0721 |
| 0.0051 | 18.0 | 918 | 0.0054 | 0.0738 |
| 0.0023 | 19.0 | 969 | 0.0051 | 0.0714 |
| 0.0016 | 20.0 | 1020 | 0.0048 | 0.0691 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1