End of training
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- pytorch_model.bin +1 -1
README.md
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metrics:
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- name: Precision
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type: precision
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value: 0.
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- name: Recall
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type: recall
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value: 0.
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- name: F1
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type: f1
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- name: Accuracy
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type: accuracy
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value: 0.
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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 [dslim/distilbert-NER](https://huggingface.co/dslim/distilbert-NER) on the conll2003 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.
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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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### Framework versions
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metrics:
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- name: Precision
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type: precision
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value: 0.8764705882352941
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- name: Recall
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type: recall
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value: 0.8969546742209632
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- name: F1
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type: f1
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value: 0.8865943297164859
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- name: Accuracy
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type: accuracy
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value: 0.975923333692258
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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 [dslim/distilbert-NER](https://huggingface.co/dslim/distilbert-NER) on the conll2003 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1908
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- Precision: 0.8765
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- Recall: 0.8970
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- F1: 0.8866
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- Accuracy: 0.9759
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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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| 0.0568 | 1.0 | 3922 | 0.1877 | 0.8678 | 0.8893 | 0.8785 | 0.9740 |
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| 0.0314 | 2.0 | 7844 | 0.1908 | 0.8765 | 0.8970 | 0.8866 | 0.9759 |
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### Framework versions
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pytorch_model.bin
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