---
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiT-t3
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilevit-x-small_alpha0.7_temp3.0_t3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mobilevit-x-small_alpha0.7_temp3.0_t3

This model is a fine-tuned version of [c14kevincardenas/ClimBEiT-t3](https://huggingface.co/c14kevincardenas/ClimBEiT-t3) on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9598
- Accuracy: 0.6453

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5532        | 1.0   | 164  | 1.3950          | 0.2766   |
| 0.5286        | 2.0   | 328  | 1.3456          | 0.3015   |
| 0.4764        | 3.0   | 492  | 1.2156          | 0.4881   |
| 0.4397        | 4.0   | 656  | 1.1208          | 0.5499   |
| 0.4225        | 5.0   | 820  | 1.0595          | 0.5900   |
| 0.3976        | 6.0   | 984  | 1.0301          | 0.6085   |
| 0.3816        | 7.0   | 1148 | 1.0354          | 0.5987   |
| 0.3825        | 8.0   | 1312 | 1.0171          | 0.6182   |
| 0.3696        | 9.0   | 1476 | 0.9928          | 0.6269   |
| 0.3513        | 10.0  | 1640 | 1.0023          | 0.6226   |
| 0.3489        | 11.0  | 1804 | 1.0007          | 0.6095   |
| 0.3529        | 12.0  | 1968 | 0.9781          | 0.6377   |
| 0.3323        | 13.0  | 2132 | 0.9598          | 0.6453   |
| 0.3355        | 14.0  | 2296 | 0.9915          | 0.6388   |
| 0.3328        | 15.0  | 2460 | 0.9801          | 0.6377   |
| 0.3305        | 16.0  | 2624 | 0.9745          | 0.6388   |
| 0.3268        | 17.0  | 2788 | 0.9656          | 0.6497   |
| 0.3165        | 18.0  | 2952 | 0.9608          | 0.6529   |
| 0.3222        | 19.0  | 3116 | 0.9698          | 0.6421   |
| 0.3161        | 20.0  | 3280 | 0.9689          | 0.6421   |


### Framework versions

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