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# clasificador-muchocine

This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4091
- Accuracy: 0.4310

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 388  | 1.3549          | 0.3768   |
| 1.401         | 2.0   | 776  | 1.3037          | 0.4348   |
| 1.0061        | 3.0   | 1164 | 1.4091          | 0.4310   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mrm8488/electricidad-base-discriminator", "model-index": [{"name": "clasificador-muchocine", "results": []}]}
transformers safetensors electra text-classification classification generated_from_trainer base_model:mrm8488/electricidad-base-discriminator autotrain_compatible endpoints_compatible region:us