---
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_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-tiny-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: 0.8034
- Accuracy: 0.6798

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2203        | 1.0   | 90   | 1.4123          | 0.2875   |
| 1.0812        | 2.0   | 180  | 1.2838          | 0.4061   |
| 0.9486        | 3.0   | 270  | 1.1327          | 0.5040   |
| 0.6955        | 4.0   | 360  | 0.9298          | 0.6166   |
| 0.4946        | 5.0   | 450  | 0.8451          | 0.6551   |
| 0.3529        | 6.0   | 540  | 0.8921          | 0.6472   |
| 0.2815        | 7.0   | 630  | 0.8604          | 0.6581   |
| 0.2195        | 8.0   | 720  | 0.8425          | 0.6571   |
| 0.201         | 9.0   | 810  | 0.8144          | 0.6808   |
| 0.186         | 10.0  | 900  | 0.8184          | 0.6897   |
| 0.1747        | 11.0  | 990  | 0.8467          | 0.6709   |
| 0.1766        | 12.0  | 1080 | 0.8266          | 0.6789   |
| 0.1615        | 13.0  | 1170 | 0.8106          | 0.6729   |
| 0.1618        | 14.0  | 1260 | 0.8074          | 0.6868   |
| 0.1574        | 15.0  | 1350 | 0.8163          | 0.6789   |
| 0.1534        | 16.0  | 1440 | 0.8144          | 0.6798   |
| 0.1507        | 17.0  | 1530 | 0.8034          | 0.6798   |
| 0.1426        | 18.0  | 1620 | 0.8038          | 0.6828   |
| 0.1436        | 19.0  | 1710 | 0.8051          | 0.6848   |
| 0.1393        | 20.0  | 1800 | 0.8045          | 0.6877   |


### Framework versions

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