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--- |
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license: cc |
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language: |
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- tr |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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library_name: bertopic |
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pipeline_tag: text-classification |
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tags: |
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- finance |
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--- |
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### Model Description |
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- **Developed by:** Mikail Doğruer |
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- **Model type:** 128k Bert Model |
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- **Language(s) (NLP):** Turkish |
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{'eval_loss': 0.25295722484588623, |
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'eval_accuracy': 0.9484536082474226, |
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'eval_precision': 0.9497797985940278, |
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'eval_recall': 0.9463618552943321, |
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'eval_f1': 0.9479608415152083, |
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'eval_runtime': 1.5618, |
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'eval_samples_per_second': 186.318, |
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'eval_steps_per_second': 1.921, |
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'epoch': 12.0} |
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# 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 |
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** TrainOutput(global_step=120, training_loss=0.29438418547312417, metrics={'train_runtime': 253.1978, 'train_samples_per_second': 55.072, |
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'train_steps_per_second': 0.474, 'total_flos': 716572948593600.0, 'train_loss': 0.29438418547312417, 'epoch': 12.0}) |
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