---
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/beit-large-patch16-384-limb
tags:
- image-regression
- human-movement
- vision
- generated_from_trainer
model-index:
- name: limbxy_hands
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# limbxy_hands

This model is a fine-tuned version of [c14kevincardenas/beit-large-patch16-384-limb](https://huggingface.co/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