---
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiTv2
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deit-tiny-distilled-patch16-224_alpha0.5_temp5.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# deit-tiny-distilled-patch16-224_alpha0.5_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: 0.8025
- Accuracy: 0.6848

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.207         | 1.0   | 90   | 1.4125          | 0.2895   |
| 1.0715        | 2.0   | 180  | 1.2814          | 0.4121   |
| 0.9394        | 3.0   | 270  | 1.1279          | 0.5049   |
| 0.6911        | 4.0   | 360  | 0.9337          | 0.6215   |
| 0.4932        | 5.0   | 450  | 0.8380          | 0.6551   |
| 0.3481        | 6.0   | 540  | 0.8896          | 0.6433   |
| 0.2781        | 7.0   | 630  | 0.8509          | 0.6621   |
| 0.2196        | 8.0   | 720  | 0.8348          | 0.6749   |
| 0.2002        | 9.0   | 810  | 0.8325          | 0.6640   |
| 0.1821        | 10.0  | 900  | 0.8580          | 0.6700   |
| 0.1722        | 11.0  | 990  | 0.8279          | 0.6818   |
| 0.1726        | 12.0  | 1080 | 0.8298          | 0.6897   |
| 0.1583        | 13.0  | 1170 | 0.8128          | 0.6838   |
| 0.1596        | 14.0  | 1260 | 0.8156          | 0.6759   |
| 0.1551        | 15.0  | 1350 | 0.8226          | 0.6868   |
| 0.1518        | 16.0  | 1440 | 0.8178          | 0.6858   |
| 0.1485        | 17.0  | 1530 | 0.8045          | 0.6838   |
| 0.1404        | 18.0  | 1620 | 0.8061          | 0.6769   |
| 0.1415        | 19.0  | 1710 | 0.8038          | 0.6877   |
| 0.137         | 20.0  | 1800 | 0.8025          | 0.6848   |


### Framework versions

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