---
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_alpha0.7_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_alpha0.7_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: 0.8373
- Accuracy: 0.6621

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1201        | 1.0   | 90   | 1.3907          | 0.2915   |
| 1.0793        | 2.0   | 180  | 1.3214          | 0.3775   |
| 0.9679        | 3.0   | 270  | 1.1766          | 0.4644   |
| 0.844         | 4.0   | 360  | 1.0511          | 0.5316   |
| 0.745         | 5.0   | 450  | 0.9649          | 0.5810   |
| 0.7137        | 6.0   | 540  | 0.9291          | 0.5800   |
| 0.6625        | 7.0   | 630  | 0.8924          | 0.6235   |
| 0.6515        | 8.0   | 720  | 0.9113          | 0.6018   |
| 0.604         | 9.0   | 810  | 0.8726          | 0.6324   |
| 0.6031        | 10.0  | 900  | 0.8651          | 0.6472   |
| 0.5679        | 11.0  | 990  | 0.8491          | 0.6532   |
| 0.5615        | 12.0  | 1080 | 0.8680          | 0.6324   |
| 0.5364        | 13.0  | 1170 | 0.8812          | 0.6255   |
| 0.507         | 14.0  | 1260 | 0.8634          | 0.6334   |
| 0.5122        | 15.0  | 1350 | 0.8725          | 0.6383   |
| 0.501         | 16.0  | 1440 | 0.8544          | 0.6502   |
| 0.4927        | 17.0  | 1530 | 0.8533          | 0.6502   |
| 0.4891        | 18.0  | 1620 | 0.8573          | 0.6482   |
| 0.4767        | 19.0  | 1710 | 0.8373          | 0.6621   |
| 0.4903        | 20.0  | 1800 | 0.8546          | 0.6472   |


### Framework versions

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