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End of training

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README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  library_name: transformers
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- license: apache-2.0
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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:
@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0989
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- - Precision: 0.8007
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- - Recall: 0.8602
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- - F1: 0.8294
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- - Accuracy: 0.9700
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  ## Model description
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@@ -56,10 +56,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.4454 | 1.0 | 917 | 0.1342 | 0.6886 | 0.7867 | 0.7344 | 0.9554 |
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- | 0.1136 | 2.0 | 1834 | 0.1004 | 0.7818 | 0.8418 | 0.8107 | 0.9665 |
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- | 0.0712 | 3.0 | 2751 | 0.0973 | 0.7990 | 0.8551 | 0.8261 | 0.9705 |
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- | 0.0535 | 4.0 | 3668 | 0.0989 | 0.8007 | 0.8602 | 0.8294 | 0.9700 |
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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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