---
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiTv2
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilevit-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-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: 0.8370
- Accuracy: 0.6769

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2117        | 1.0   | 90   | 1.4099          | 0.2451   |
| 1.1611        | 2.0   | 180  | 1.3374          | 0.2945   |
| 1.0726        | 3.0   | 270  | 1.2361          | 0.3794   |
| 0.9066        | 4.0   | 360  | 1.0439          | 0.5168   |
| 0.8097        | 5.0   | 450  | 0.9753          | 0.5800   |
| 0.7541        | 6.0   | 540  | 0.9093          | 0.6146   |
| 0.7054        | 7.0   | 630  | 0.8776          | 0.6344   |
| 0.6567        | 8.0   | 720  | 0.9050          | 0.6136   |
| 0.6028        | 9.0   | 810  | 0.8489          | 0.6670   |
| 0.585         | 10.0  | 900  | 0.8526          | 0.6453   |
| 0.5614        | 11.0  | 990  | 0.8427          | 0.6690   |
| 0.5282        | 12.0  | 1080 | 0.8506          | 0.6611   |
| 0.4993        | 13.0  | 1170 | 0.8682          | 0.6492   |
| 0.4814        | 14.0  | 1260 | 0.8370          | 0.6769   |
| 0.4798        | 15.0  | 1350 | 0.8531          | 0.6640   |
| 0.4554        | 16.0  | 1440 | 0.8401          | 0.6709   |
| 0.4514        | 17.0  | 1530 | 0.8405          | 0.6690   |
| 0.4313        | 18.0  | 1620 | 0.8409          | 0.6729   |
| 0.4352        | 19.0  | 1710 | 0.8418          | 0.6749   |
| 0.4362        | 20.0  | 1800 | 0.8477          | 0.6709   |


### Framework versions

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