| | --- |
| | license: apache-2.0 |
| | datasets: |
| | - ittailup/issste |
| | language: |
| | - es |
| | metrics: |
| | - accuracy: 0.9951 |
| | widget: |
| | - text: AGATA |
| | - text: GABRIEL |
| | --- |
| | |
| | ## Model Card |
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| | ### Overview |
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| | 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. |
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| | ### Training Details |
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| | - **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. |
| |
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| | ### Evaluation Details |
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| | - **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. |
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| | ### Performance Metrics |
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| | - **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. |
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