---
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_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-small-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: 0.7008
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2119        | 1.0   | 90   | 1.4199          | 0.2698   |
| 1.059         | 2.0   | 180  | 1.2413          | 0.4328   |
| 0.7473        | 3.0   | 270  | 0.8504          | 0.6453   |
| 0.4798        | 4.0   | 360  | 0.7614          | 0.7016   |
| 0.2936        | 5.0   | 450  | 0.7519          | 0.7134   |
| 0.2081        | 6.0   | 540  | 0.7559          | 0.7095   |
| 0.1841        | 7.0   | 630  | 0.7576          | 0.7154   |
| 0.1766        | 8.0   | 720  | 0.7191          | 0.7243   |
| 0.1721        | 9.0   | 810  | 0.7418          | 0.7223   |
| 0.1603        | 10.0  | 900  | 0.7023          | 0.7312   |
| 0.1539        | 11.0  | 990  | 0.7189          | 0.7322   |
| 0.1526        | 12.0  | 1080 | 0.7107          | 0.7441   |
| 0.144         | 13.0  | 1170 | 0.7010          | 0.7381   |
| 0.1405        | 14.0  | 1260 | 0.7008          | 0.7352   |
| 0.1401        | 15.0  | 1350 | 0.7008          | 0.7381   |
| 0.138         | 16.0  | 1440 | 0.7019          | 0.7431   |
| 0.1375        | 17.0  | 1530 | 0.7053          | 0.7391   |
| 0.1302        | 18.0  | 1620 | 0.7023          | 0.7332   |
| 0.134         | 19.0  | 1710 | 0.7040          | 0.7431   |
| 0.1305        | 20.0  | 1800 | 0.7038          | 0.7431   |


### Framework versions

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