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# cfe-telmex-classification-finetuned-v3

This model is a fine-tuned version of [JoseVilla/cfe-telmex-classification-finetuned-v2](https://huggingface.co/JoseVilla/cfe-telmex-classification-finetuned-v2) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2047
- Accuracy: 0.9583

## 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
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.94  | 8    | 0.4386          | 0.8167   |
| 0.6716        | 2.0   | 17   | 0.2047          | 0.9583   |
| 0.1864        | 2.82  | 24   | 0.1664          | 0.9583   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3

cfe other telmex