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license: cc-by-nc-4.0 |
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[allenai/tk-instruct-base-def-pos](https://huggingface.co/allenai/tk-instruct-base-def-pos) model fined tuned on custom KeyBert default keywords extracter model - [all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) and ABSA model - [yangheng/deberta-v3-base-absa-v1.1](https://huggingface.co/yangheng/deberta-v3-base-absa-v1.1) auto annotated hospital reviews [keywords,polarity] dataset. |
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Training Results: |
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Epoch | Training Loss | Validation Loss |
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1 | 0.150800 | 0.112104 |
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2 | 0.103700 | 0.074400 |
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3 | 0.074500 | 0.065034 |
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4 | 0.065900 | 0.062676 |
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5 | 0.059700 | 0.058017 |
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6 | 0.050700 | 0.056635 |
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7 | 0.046500 | 0.056589 |
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8 | 0.046300 | 0.056924 |
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Evaluation Results: |
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Train Precision: 0.9552227554840818 |
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Train Recall: 0.9552107544443746 |
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Train F1: 0.9552167549265339 |
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Test Precision: 0.9300919842312746 |
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Test Recall: 0.9301530981010578 |
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Test F1: 0.9301225401622918 |
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UnseenTest Precision: 0.9329632792485055 |
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UnseenTest Recall: 0.9329632792485055 |
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UnseenTest F1: 0.9329632792485054 |
