---
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiT-t3
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-base-patch16-224_alpha0.5_temp3.0_t3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# beit-base-patch16-224_alpha0.5_temp3.0_t3

This model is a fine-tuned version of [c14kevincardenas/ClimBEiT-t3](https://huggingface.co/c14kevincardenas/ClimBEiT-t3) on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6020
- Accuracy: 0.8547

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8129        | 1.0   | 164  | 1.4044          | 0.2549   |
| 0.7193        | 2.0   | 328  | 1.1587          | 0.5065   |
| 0.5431        | 3.0   | 492  | 0.7722          | 0.7419   |
| 0.4342        | 4.0   | 656  | 0.7605          | 0.7581   |
| 0.3763        | 5.0   | 820  | 0.6501          | 0.8080   |
| 0.3418        | 6.0   | 984  | 0.6816          | 0.7907   |
| 0.323         | 7.0   | 1148 | 0.6434          | 0.8102   |
| 0.3123        | 8.0   | 1312 | 0.6709          | 0.8080   |
| 0.3109        | 9.0   | 1476 | 0.6393          | 0.8124   |
| 0.2944        | 10.0  | 1640 | 0.6249          | 0.8330   |
| 0.2928        | 11.0  | 1804 | 0.6533          | 0.8341   |
| 0.2966        | 12.0  | 1968 | 0.6237          | 0.8275   |
| 0.2845        | 13.0  | 2132 | 0.6263          | 0.8373   |
| 0.2933        | 14.0  | 2296 | 0.6042          | 0.8503   |
| 0.2917        | 15.0  | 2460 | 0.6152          | 0.8449   |
| 0.2865        | 16.0  | 2624 | 0.6020          | 0.8547   |
| 0.2923        | 17.0  | 2788 | 0.6055          | 0.8568   |
| 0.281         | 18.0  | 2952 | 0.6053          | 0.8438   |
| 0.2865        | 19.0  | 3116 | 0.6039          | 0.8503   |
| 0.28          | 20.0  | 3280 | 0.6057          | 0.8482   |


### Framework versions

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