r3
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README.md
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license: apache-2.0
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base_model: albert/albert-base-v2 tags:
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generated_from_trainer metrics:
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accuracy
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f1
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precision
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Model description
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Built to identify ISIN vs ISIN_null titles.
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Intended uses & limitations
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Use it on any title to understand how the model is interpreting the title, whether it is ISIN or ISIN_null. Go ahead and try a few of your own.
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Training and evaluation data
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It achieves the following results on the evaluation set: Loss: 0.0173 Accuracy: 0.9951 F1: 0.9951 Precision: 0.9951 Recall: 0.9951 Accuracy Label ISIN: 0.95 Accuracy Label ISIN_null: .095 Training procedure Training hyperparameters
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Training hyperparameters
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The following hyperparameters were used during training:
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learning_rate: 2e-05
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## License
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license: apache-2.0
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## Base-Model
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base_model: albert/albert-base-v2 tags:
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### generated_from_trainer metrics:
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accuracy
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f1
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precision
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Model description
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Built to identify ISIN vs ISIN_null titles.
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### Intended uses & limitations
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Use it on any title to understand how the model is interpreting the title, whether it is ISIN or ISIN_null. Go ahead and try a few of your own.
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### Training and evaluation data
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It achieves the following results on the evaluation set: Loss: 0.0173 Accuracy: 0.9951 F1: 0.9951 Precision: 0.9951 Recall: 0.9951 Accuracy Label ISIN: 0.95 Accuracy Label ISIN_null: .095 Training procedure Training hyperparameters
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### Training hyperparameters
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The following hyperparameters were used during training:
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learning_rate: 2e-05
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