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README.md
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tags:
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- generated_from_trainer
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datasets:
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- few-nerd
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model-index:
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- name: span-marker-robert-base
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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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# span-marker-robert-base
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This model is a fine-tuned version of [](https://huggingface.co/) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0214
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- Overall Precision: 0.7642
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- Overall F1: 0.7791
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- Overall Accuracy: 0.9397
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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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### Training hyperparameters
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The following hyperparameters were used during training:
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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tags:
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- generated_from_trainer
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datasets:
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- DFKI-SLT/few-nerd
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model-index:
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- name: span-marker-robert-base
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results: []
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license: apache-2.0
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language:
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- en
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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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# span-marker-robert-base
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on [few-nerd](https://huggingface.co/datasets/DFKI-SLT/few-nerd) dataset using [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) an module for NER.
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It achieves the following results on the evaluation set:
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- Loss: 0.0214
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- Overall Precision: 0.7642
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- Overall F1: 0.7791
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- Overall Accuracy: 0.9397
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## Training and evaluation data
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### Training hyperparameters
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The following hyperparameters were used during training:
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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