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  1. README.md +15 -0
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@@ -3,6 +3,11 @@ license: cc-by-sa-4.0
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  base_model: surrey-nlp/roberta-large-finetuned-abbr-filtered-plod
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  tags:
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: roberta-large-finetuned-abbr-filtered-plod-finetuned-ner
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  results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # roberta-large-finetuned-abbr-filtered-plod-finetuned-ner
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  This model is a fine-tuned version of [surrey-nlp/roberta-large-finetuned-abbr-filtered-plod](https://huggingface.co/surrey-nlp/roberta-large-finetuned-abbr-filtered-plod) on an unknown dataset.
 
 
 
 
 
 
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  ## Model description
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@@ -40,6 +51,10 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 6
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  ### Framework versions
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  - Transformers 4.37.2
 
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  base_model: surrey-nlp/roberta-large-finetuned-abbr-filtered-plod
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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  model-index:
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  - name: roberta-large-finetuned-abbr-filtered-plod-finetuned-ner
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  results: []
 
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  # roberta-large-finetuned-abbr-filtered-plod-finetuned-ner
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  This model is a fine-tuned version of [surrey-nlp/roberta-large-finetuned-abbr-filtered-plod](https://huggingface.co/surrey-nlp/roberta-large-finetuned-abbr-filtered-plod) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4541
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+ - Precision: 0.8911
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+ - Recall: 0.8907
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+ - F1: 0.8909
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+ - Accuracy: 0.8851
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 6
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+ ### Training results
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+
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+
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+
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  ### Framework versions
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  - Transformers 4.37.2