End of training
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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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- 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 [bert-large-cased](https://huggingface.co/bert-large-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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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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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: 0.26426174496644295
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- name: Recall
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type: recall
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value: 0.05301245371928644
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- name: F1
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type: f1
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value: 0.08830950378469302
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- name: Accuracy
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type: accuracy
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value: 0.8491102371402983
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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-large-cased](https://huggingface.co/bert-large-cased) on the conll2003 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5525
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- Precision: 0.2643
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- Recall: 0.0530
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- F1: 0.0883
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- Accuracy: 0.8491
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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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| No log | 1.0 | 25 | 0.7702 | 0.2857 | 0.0003 | 0.0007 | 0.8326 |
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| No log | 2.0 | 50 | 0.6046 | 0.1537 | 0.0106 | 0.0198 | 0.8373 |
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| No log | 3.0 | 75 | 0.5525 | 0.2643 | 0.0530 | 0.0883 | 0.8491 |
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### Framework versions
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model.safetensors
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runs/Apr17_13-32-45_DESKTOP-IMESE8D/events.out.tfevents.1744867967.DESKTOP-IMESE8D.477255.0
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