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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
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  datasets:
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  - blurb
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  model-index:
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  - name: bert-base-cased-finetuned-ner-BC2GM-IOB
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  results: []
 
 
 
 
 
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  ---
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  # bert-base-cased-finetuned-ner-BC2GM-IOB
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- This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the blurb dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0813
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  - Gene
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  ## Model description
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- More information needed
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  ## Intended uses & limitations
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- More information needed
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  - Transformers 4.28.1
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  - Pytorch 2.0.0
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  - Datasets 2.11.0
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- - Tokenizers 0.13.3
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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+ - NER
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  datasets:
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  - blurb
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  model-index:
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  - name: bert-base-cased-finetuned-ner-BC2GM-IOB
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  results: []
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+ language:
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+ - en
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+ metrics:
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+ - seqeval
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+ pipeline_tag: token-classification
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  ---
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  # bert-base-cased-finetuned-ner-BC2GM-IOB
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+ This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased).
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0813
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  - Gene
 
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  ## Model description
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+ For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Token%20Classification/Monolingual/EMBO-BLURB/NER%20Project%20Using%20EMBO-BLURB%20Dataset.ipynb
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  ## Intended uses & limitations
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+ This model is intended to demonstrate my ability to solve a complex problem using technology.
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  ## Training and evaluation data
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+ Dataset Source: https://huggingface.co/datasets/EMBO/BLURB
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  ## Training procedure
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  - Transformers 4.28.1
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  - Pytorch 2.0.0
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  - Datasets 2.11.0
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+ - Tokenizers 0.13.3