update model card README.md
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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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value: 0.
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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 [bert-base-cased](https://huggingface.co/bert-base-cased) 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: 0.937448149991704
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- name: Recall
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type: recall
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value: 0.9508582968697409
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- name: F1
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type: f1
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value: 0.9441056061492189
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- name: Accuracy
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type: accuracy
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value: 0.9864308000235474
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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 [bert-base-cased](https://huggingface.co/bert-base-cased) on the conll2003 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0614
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- Precision: 0.9374
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- Recall: 0.9509
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- F1: 0.9441
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- Accuracy: 0.9864
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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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| 0.089 | 1.0 | 1756 | 0.0749 | 0.9104 | 0.9280 | 0.9191 | 0.9812 |
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| 0.0331 | 2.0 | 3512 | 0.0614 | 0.9299 | 0.9470 | 0.9384 | 0.9858 |
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| 0.0169 | 3.0 | 5268 | 0.0614 | 0.9374 | 0.9509 | 0.9441 | 0.9864 |
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### Framework versions
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