---
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiTv2
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224_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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# swin-tiny-patch4-window7-224_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: 0.5913
- Accuracy: 0.7974

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2082        | 1.0   | 90   | 1.4079          | 0.2668   |
| 1.0779        | 2.0   | 180  | 1.2162          | 0.4377   |
| 0.8302        | 3.0   | 270  | 0.9251          | 0.6166   |
| 0.628         | 4.0   | 360  | 0.7442          | 0.7144   |
| 0.4817        | 5.0   | 450  | 0.6761          | 0.7540   |
| 0.378         | 6.0   | 540  | 0.7098          | 0.7559   |
| 0.3129        | 7.0   | 630  | 0.6408          | 0.7737   |
| 0.2627        | 8.0   | 720  | 0.6368          | 0.7806   |
| 0.2458        | 9.0   | 810  | 0.6722          | 0.7698   |
| 0.2303        | 10.0  | 900  | 0.6332          | 0.7806   |
| 0.2018        | 11.0  | 990  | 0.6203          | 0.7885   |
| 0.1942        | 12.0  | 1080 | 0.6081          | 0.7885   |
| 0.1831        | 13.0  | 1170 | 0.6041          | 0.7905   |
| 0.1827        | 14.0  | 1260 | 0.6043          | 0.7895   |
| 0.1825        | 15.0  | 1350 | 0.5913          | 0.7974   |
| 0.1727        | 16.0  | 1440 | 0.6064          | 0.7974   |
| 0.1701        | 17.0  | 1530 | 0.6057          | 0.8034   |
| 0.1595        | 18.0  | 1620 | 0.5969          | 0.7925   |
| 0.1616        | 19.0  | 1710 | 0.5923          | 0.7964   |
| 0.1594        | 20.0  | 1800 | 0.5932          | 0.7964   |


### Framework versions

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