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: 0.9339607066204392
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- name: Recall
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type: recall
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value: 0.9520363513968361
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- name: F1
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type: f1
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value: 0.9429119093257772
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- name: Accuracy
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type: accuracy
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value: 0.9870636368988049
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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: 0.0599
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- Precision: 0.9340
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- Recall: 0.9520
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- F1: 0.9429
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- Accuracy: 0.9871
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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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| 0.0894 | 1.0 | 1756 | 0.0696 | 0.9194 | 0.9332 | 0.9263 | 0.9821 |
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| 0.0344 | 2.0 | 3512 | 0.0658 | 0.9276 | 0.9493 | 0.9384 | 0.9856 |
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| 0.0177 | 3.0 | 5268 | 0.0599 | 0.9340 | 0.9520 | 0.9429 | 0.9871 |
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### Framework versions
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