---
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiTv2
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deit-small-distilled-patch16-224_alpha0.5_temp3.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# deit-small-distilled-patch16-224_alpha0.5_temp3.0

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: 0.6994
- Accuracy: 0.7352

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2256        | 1.0   | 90   | 1.4204          | 0.2708   |
| 1.0697        | 2.0   | 180  | 1.2418          | 0.4377   |
| 0.745         | 3.0   | 270  | 0.8560          | 0.6344   |
| 0.4822        | 4.0   | 360  | 0.7597          | 0.7055   |
| 0.296         | 5.0   | 450  | 0.7598          | 0.7036   |
| 0.2083        | 6.0   | 540  | 0.7894          | 0.6868   |
| 0.1911        | 7.0   | 630  | 0.7575          | 0.7134   |
| 0.1783        | 8.0   | 720  | 0.7299          | 0.7302   |
| 0.1743        | 9.0   | 810  | 0.7375          | 0.7184   |
| 0.1645        | 10.0  | 900  | 0.7215          | 0.7273   |
| 0.1548        | 11.0  | 990  | 0.7100          | 0.7411   |
| 0.1544        | 12.0  | 1080 | 0.7043          | 0.7352   |
| 0.1461        | 13.0  | 1170 | 0.7097          | 0.7352   |
| 0.1439        | 14.0  | 1260 | 0.7007          | 0.7431   |
| 0.1428        | 15.0  | 1350 | 0.7013          | 0.7401   |
| 0.1409        | 16.0  | 1440 | 0.7026          | 0.7401   |
| 0.1402        | 17.0  | 1530 | 0.7042          | 0.7431   |
| 0.1325        | 18.0  | 1620 | 0.6994          | 0.7352   |
| 0.1364        | 19.0  | 1710 | 0.7015          | 0.7460   |
| 0.1329        | 20.0  | 1800 | 0.7007          | 0.7460   |


### Framework versions

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