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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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model-index:
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- name: balanced-augmented-distilbert-gest-pred-seqeval-partialmatch
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [elastic/distilbert-base-cased-finetuned-conll03-english](https://huggingface.co/elastic/distilbert-base-cased-finetuned-conll03-english) 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: 0.7890
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## Model description
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- Transformers 4.27.3
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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---
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license: apache-2.0
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widget:
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- text: I'm fine. Who is this?
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- text: You can't take anything seriously.
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- text: In the end he's going to croak, isn't he?
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tags:
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- generated_from_trainer
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metrics:
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model-index:
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- name: balanced-augmented-distilbert-gest-pred-seqeval-partialmatch
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results: []
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pipeline_tag: token-classification
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [elastic/distilbert-base-cased-finetuned-conll03-english](https://huggingface.co/elastic/distilbert-base-cased-finetuned-conll03-english) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8831
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- Precision: 0.8268
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- Recall: 0.8056
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- F1: 0.8096
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- Accuracy: 0.7890
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## Model description
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- Transformers 4.27.3
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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