Model save
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README.md
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base_model: roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta-base-finetuned-ner
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results: []
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# roberta-base-finetuned-ner
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) 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 4.36.2
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base_model: roberta-base
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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: roberta-base-finetuned-ner
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results: []
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# roberta-base-finetuned-ner
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1147
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- Precision: 0.9643
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- Recall: 0.9555
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- F1: 0.9599
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- Accuracy: 0.9558
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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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| 0.1403 | 0.5 | 7000 | 0.1326 | 0.9548 | 0.9453 | 0.9500 | 0.9459 |
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| 0.1308 | 0.99 | 14000 | 0.1277 | 0.9604 | 0.9475 | 0.9539 | 0.9496 |
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| 0.1104 | 1.49 | 21000 | 0.1161 | 0.9606 | 0.9523 | 0.9564 | 0.9525 |
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| 0.1043 | 1.99 | 28000 | 0.1156 | 0.9606 | 0.9557 | 0.9581 | 0.9541 |
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| 0.0964 | 2.49 | 35000 | 0.1147 | 0.9643 | 0.9555 | 0.9599 | 0.9558 |
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| 0.0921 | 2.98 | 42000 | 0.1138 | 0.9643 | 0.9567 | 0.9605 | 0.9566 |
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### Framework versions
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- Transformers 4.36.2
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