---
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-patch16-384_alpha0.7_temp3.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# beit-base-patch16-384_alpha0.7_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: 0.5082
- Accuracy: 0.8409

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1161        | 1.0   | 90   | 1.3958          | 0.3034   |
| 0.8866        | 2.0   | 180  | 0.9934          | 0.5830   |
| 0.5473        | 3.0   | 270  | 0.6915          | 0.7451   |
| 0.4068        | 4.0   | 360  | 0.6147          | 0.7836   |
| 0.2803        | 5.0   | 450  | 0.5613          | 0.8132   |
| 0.232         | 6.0   | 540  | 0.5583          | 0.8073   |
| 0.2132        | 7.0   | 630  | 0.5762          | 0.8103   |
| 0.1911        | 8.0   | 720  | 0.5657          | 0.8192   |
| 0.1705        | 9.0   | 810  | 0.5529          | 0.8103   |
| 0.1603        | 10.0  | 900  | 0.5434          | 0.8172   |
| 0.1553        | 11.0  | 990  | 0.5209          | 0.8221   |
| 0.1475        | 12.0  | 1080 | 0.5409          | 0.8182   |
| 0.1446        | 13.0  | 1170 | 0.5163          | 0.8340   |
| 0.1316        | 14.0  | 1260 | 0.5329          | 0.8251   |
| 0.1317        | 15.0  | 1350 | 0.5183          | 0.8389   |
| 0.1284        | 16.0  | 1440 | 0.5082          | 0.8409   |
| 0.1221        | 17.0  | 1530 | 0.5179          | 0.8389   |
| 0.1204        | 18.0  | 1620 | 0.5164          | 0.8370   |
| 0.1192        | 19.0  | 1710 | 0.5117          | 0.8439   |
| 0.1167        | 20.0  | 1800 | 0.5123          | 0.8429   |


### Framework versions

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