Update README.md

README.md

@@ -5,9 +5,38 @@ datasets:
 language:
 - es
 metrics:
-- accuracy
-pipeline_tag: text-classification
+- accuracy:  0.9951
 widget:
-  - text: "AGATA"
-  - text: "GABRIEL"
----
+- 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.
+
+