End of training
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README.md
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---
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library_name: transformers
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license:
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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# legal_ai_India_ner_results
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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### Framework versions
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---
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library_name: transformers
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license: cc-by-sa-4.0
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base_model: nlpaueb/legal-bert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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# legal_ai_India_ner_results
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This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0993
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- Precision: 0.8282
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- Recall: 0.8731
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- F1: 0.8501
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- Accuracy: 0.9751
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.4565 | 1.0 | 917 | 0.1275 | 0.7198 | 0.8134 | 0.7637 | 0.9639 |
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| 0.1035 | 2.0 | 1834 | 0.1027 | 0.7932 | 0.8666 | 0.8283 | 0.9702 |
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| 0.0661 | 3.0 | 2751 | 0.0980 | 0.8076 | 0.8713 | 0.8383 | 0.9730 |
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| 0.0501 | 4.0 | 3668 | 0.0993 | 0.8282 | 0.8731 | 0.8501 | 0.9751 |
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### Framework versions
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model.safetensors
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runs/Feb24_19-47-23_92734c0b55b6/events.out.tfevents.1740426444.92734c0b55b6.23332.0
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