ittailup/distilgender-es-2M

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.