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README.md
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base_model: bert-base-cased
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: bert-finetuned-ner
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results: []
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# bert-finetuned-ner
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0613
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- Precision: 0.9276
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- Recall: 0.9487
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- F1: 0.9380
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- Accuracy: 0.9858
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.0798 | 1.0 | 1756 | 0.0736 | 0.9071 | 0.9355 | 0.9211 | 0.9806 |
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| 0.0415 | 2.0 | 3512 | 0.0579 | 0.9248 | 0.9473 | 0.9359 | 0.9858 |
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| 0.0253 | 3.0 | 5268 | 0.0613 | 0.9276 | 0.9487 | 0.9380 | 0.9858 |
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### Framework versions
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- Transformers 4.35.2
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base_model: bert-base-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-finetuned-ner
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results: []
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# bert-finetuned-ner
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Framework versions
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- Transformers 4.35.2
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model.safetensors
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training_args.bin
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