---
license: apache-2.0
base_model: microsoft/beit-base-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-de-pesos
  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. -->

# clasificador-de-pesos

This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0151
- Accuracy: 1.0

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.93  | 7    | 0.5468          | 0.6190   |
| 1.0237        | 2.0   | 15   | 0.1113          | 0.9619   |
| 0.5329        | 2.93  | 22   | 0.0462          | 0.9714   |
| 0.335         | 4.0   | 30   | 0.0151          | 1.0      |
| 0.3359        | 4.93  | 37   | 0.1429          | 0.9429   |
| 0.2794        | 6.0   | 45   | 0.0606          | 0.9619   |
| 0.2937        | 6.93  | 52   | 0.0159          | 0.9905   |
| 0.249         | 7.47  | 56   | 0.0184          | 0.9905   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1