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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# deit-small-distilled-patch16-224_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: 0.7187
- Accuracy: 0.7292

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1503        | 1.0   | 90   | 1.4292          | 0.2717   |
| 1.0007        | 2.0   | 180  | 1.2262          | 0.4526   |
| 0.6862        | 3.0   | 270  | 0.8957          | 0.6186   |
| 0.4297        | 4.0   | 360  | 0.7742          | 0.6927   |
| 0.2549        | 5.0   | 450  | 0.7670          | 0.7006   |
| 0.1769        | 6.0   | 540  | 0.8104          | 0.6848   |
| 0.1607        | 7.0   | 630  | 0.7589          | 0.7243   |
| 0.1481        | 8.0   | 720  | 0.7446          | 0.7174   |
| 0.1418        | 9.0   | 810  | 0.7526          | 0.7134   |
| 0.1308        | 10.0  | 900  | 0.7379          | 0.7204   |
| 0.1246        | 11.0  | 990  | 0.7421          | 0.7283   |
| 0.1226        | 12.0  | 1080 | 0.7369          | 0.7184   |
| 0.1143        | 13.0  | 1170 | 0.7189          | 0.7332   |
| 0.1125        | 14.0  | 1260 | 0.7187          | 0.7292   |
| 0.1109        | 15.0  | 1350 | 0.7294          | 0.7292   |
| 0.1087        | 16.0  | 1440 | 0.7224          | 0.7213   |
| 0.1075        | 17.0  | 1530 | 0.7298          | 0.7243   |
| 0.1015        | 18.0  | 1620 | 0.7258          | 0.7253   |
| 0.1042        | 19.0  | 1710 | 0.7268          | 0.7273   |
| 0.1014        | 20.0  | 1800 | 0.7265          | 0.7263   |


### Framework versions

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