---
license: apache-2.0
datasets:
- ittailup/issste
language:
- es
metrics:
- accuracy:  0.9951
widget:
- text: AGATA
- text: GABRIEL
---

## Model Card

### Overview

This model card provides details about a trained model, its training process, and evaluation metrics. This information ensures transparency and assists users in understanding the model's performance and behavior.

### Training Details

- **Training Epochs**: The model was trained for 2 epochs.
- **Training Steps**: The model underwent 1856 training steps.
- **Training Runtime**: The model's training runtime was approximately 2680.184 seconds.
- **Training Speed**: The model trained at a rate of 0.692 steps per second and processed approximately 1417.813 samples per second.
- **Learning Rate**: The learning rate during training was approximately 0.0000095905.
- **Training Loss**: The average training loss recorded was approximately 0.0184, with a specific loss value of 0.023423514232553285.

### Evaluation Details

- **Evaluation Loss**: The model achieved an evaluation loss of 0.017659155651926994.
- **Evaluation Runtime**: The evaluation process took approximately 23.8414 seconds.
- **Evaluation Speed**: The model was evaluated at a rate of 2.055 steps per second, processing approximately 4194.378 samples per second.

### Performance Metrics

- **Accuracy**: The model achieved an accuracy of 0.9951 during evaluation.
- **Precision**: The precision of the model is approximately 0.9957234121187588.
- **Recall**: The model's recall is approximately 0.9956533216014078.
- **F1-Score**: The F1-Score for the model is approximately 0.995688365626595.