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.
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Model size
67M params
Tensor type
F32
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Dataset used to train ittailup/distilgender-es-2M