---
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiTv2
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-base-patch16-224_alpha0.7_temp5.0
  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. -->

# beit-base-patch16-224_alpha0.7_temp5.0

This model is a fine-tuned version of [c14kevincardenas/ClimBEiTv2](https://huggingface.co/c14kevincardenas/ClimBEiTv2) on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb_2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5587
- Accuracy: 0.8014

## 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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1179        | 1.0   | 90   | 1.4254          | 0.2875   |
| 0.8879        | 2.0   | 180  | 1.0517          | 0.5632   |
| 0.5644        | 3.0   | 270  | 0.7063          | 0.7431   |
| 0.3909        | 4.0   | 360  | 0.6421          | 0.7727   |
| 0.2787        | 5.0   | 450  | 0.6018          | 0.7875   |
| 0.2167        | 6.0   | 540  | 0.6578          | 0.7688   |
| 0.1982        | 7.0   | 630  | 0.6107          | 0.7826   |
| 0.1799        | 8.0   | 720  | 0.5742          | 0.8132   |
| 0.1689        | 9.0   | 810  | 0.6021          | 0.7945   |
| 0.1555        | 10.0  | 900  | 0.5871          | 0.7895   |
| 0.1514        | 11.0  | 990  | 0.5836          | 0.7915   |
| 0.1418        | 12.0  | 1080 | 0.5684          | 0.7964   |
| 0.1356        | 13.0  | 1170 | 0.5688          | 0.7974   |
| 0.1262        | 14.0  | 1260 | 0.5783          | 0.8053   |
| 0.128         | 15.0  | 1350 | 0.5665          | 0.7925   |
| 0.1211        | 16.0  | 1440 | 0.5587          | 0.8014   |
| 0.1223        | 17.0  | 1530 | 0.5644          | 0.8034   |
| 0.1133        | 18.0  | 1620 | 0.5634          | 0.8083   |
| 0.1158        | 19.0  | 1710 | 0.5711          | 0.8063   |
| 0.1119        | 20.0  | 1800 | 0.5648          | 0.8083   |


### Framework versions

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