---
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiTv2
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilevit-x-small_alpha0.5_temp5.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mobilevit-x-small_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: 0.8056
- Accuracy: 0.6670

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1992        | 1.0   | 90   | 1.3813          | 0.3053   |
| 1.1608        | 2.0   | 180  | 1.3167          | 0.3775   |
| 1.0525        | 3.0   | 270  | 1.1716          | 0.4704   |
| 0.9202        | 4.0   | 360  | 1.0438          | 0.5296   |
| 0.8105        | 5.0   | 450  | 0.9463          | 0.5860   |
| 0.7675        | 6.0   | 540  | 0.9055          | 0.5949   |
| 0.7178        | 7.0   | 630  | 0.8651          | 0.6294   |
| 0.6966        | 8.0   | 720  | 0.8816          | 0.6206   |
| 0.6529        | 9.0   | 810  | 0.8390          | 0.6403   |
| 0.6468        | 10.0  | 900  | 0.8408          | 0.6393   |
| 0.6115        | 11.0  | 990  | 0.8196          | 0.6561   |
| 0.6059        | 12.0  | 1080 | 0.8353          | 0.6551   |
| 0.5808        | 13.0  | 1170 | 0.8468          | 0.6374   |
| 0.5506        | 14.0  | 1260 | 0.8270          | 0.6453   |
| 0.5535        | 15.0  | 1350 | 0.8425          | 0.6403   |
| 0.5444        | 16.0  | 1440 | 0.8188          | 0.6542   |
| 0.5409        | 17.0  | 1530 | 0.8202          | 0.6502   |
| 0.5296        | 18.0  | 1620 | 0.8193          | 0.6591   |
| 0.5153        | 19.0  | 1710 | 0.8056          | 0.6670   |
| 0.5239        | 20.0  | 1800 | 0.8194          | 0.6591   |


### Framework versions

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