Model Description
- Developed by: Mikail Doğruer
- Model type: 128k Bert Model
- Language(s) (NLP): Turkish
{'eval_loss': 0.25295722484588623, 'eval_accuracy': 0.9484536082474226, 'eval_precision': 0.9497797985940278, 'eval_recall': 0.9463618552943321, 'eval_f1': 0.9479608415152083, 'eval_runtime': 1.5618, 'eval_samples_per_second': 186.318, 'eval_steps_per_second': 1.921, 'epoch': 12.0}
Epoch Training Loss Validation Loss Accuracy Precision Recall F1
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1 0.297100 0.253670 0.945017 0.945524 0.942778 0.944051
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2 0.279300 0.253695 0.945017 0.945524 0.942778 0.944051
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3 0.278800 0.253687 0.945017 0.945524 0.942778 0.944051
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4 0.299700 0.253546 0.948454 0.949780 0.946362 0.947961
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5 0.293400 0.253468 0.948454 0.949780 0.946362 0.947961
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6 0.316400 0.253449 0.948454 0.949780 0.946362 0.947961
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7 0.285500 0.253279 0.948454 0.949780 0.946362 0.947961
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8 0.326200 0.253156 0.948454 0.949780 0.946362 0.947961
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9 0.297200 0.253054 0.948454 0.949780 0.946362 0.947961
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10 0.284200 0.252992 0.948454 0.949780 0.946362 0.947961
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11 0.289500 0.252961 0.948454 0.949780 0.946362 0.947961
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12 0.285400 0.252957 0.948454 0.949780 0.946362 0.947961
** TrainOutput(global_step=120, training_loss=0.29438418547312417, metrics={'train_runtime': 253.1978, 'train_samples_per_second': 55.072, 'train_steps_per_second': 0.474, 'total_flos': 716572948593600.0, 'train_loss': 0.29438418547312417, 'epoch': 12.0})
