---
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_pose_2heads_1layers_8embeddim
  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_pose_2heads_1layers_8embeddim

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_pose dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0077
- Rmse: 0.0876

## 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   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.174         | 1.0   | 89   | 0.1471          | 0.3835 |
| 0.1559        | 2.0   | 178  | 0.1466          | 0.3829 |
| 0.1485        | 3.0   | 267  | 0.1661          | 0.4075 |
| 0.1624        | 4.0   | 356  | 0.1418          | 0.3765 |
| 0.1457        | 5.0   | 445  | 0.1437          | 0.3790 |
| 0.1635        | 6.0   | 534  | 0.1424          | 0.3773 |
| 0.1428        | 7.0   | 623  | 0.1584          | 0.3980 |
| 0.1481        | 8.0   | 712  | 0.1408          | 0.3753 |
| 0.1494        | 9.0   | 801  | 0.1478          | 0.3845 |
| 0.1417        | 10.0  | 890  | 0.1545          | 0.3930 |
| 0.1421        | 11.0  | 979  | 0.1432          | 0.3785 |
| 0.145         | 12.0  | 1068 | 0.1403          | 0.3745 |
| 0.1466        | 13.0  | 1157 | 0.1443          | 0.3799 |
| 0.0601        | 14.0  | 1246 | 0.0208          | 0.1443 |
| 0.0154        | 15.0  | 1335 | 0.0124          | 0.1115 |
| 0.0102        | 16.0  | 1424 | 0.0128          | 0.1133 |
| 0.0071        | 17.0  | 1513 | 0.0129          | 0.1137 |
| 0.0076        | 18.0  | 1602 | 0.0085          | 0.0920 |
| 0.0057        | 19.0  | 1691 | 0.0079          | 0.0888 |
| 0.0046        | 20.0  | 1780 | 0.0077          | 0.0876 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1