Model save
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README.md
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This model is a fine-tuned version of [pczarnik/herbert-base-ner](https://huggingface.co/pczarnik/herbert-base-ner) on an unknown 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: 1.
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- Recall: 1.
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- F1: 1.
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| 0.
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| 0.
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| 0.0002 | 4.0 | 1736 | 0.
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| 0.0001 | 5.0 | 2170 | 0.
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| 0.0001 | 6.0 | 2604 | 0.
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| 0.0001 | 7.0 | 3038 | 0.
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### Framework versions
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This model is a fine-tuned version of [pczarnik/herbert-base-ner](https://huggingface.co/pczarnik/herbert-base-ner) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| 0.0286 | 1.0 | 434 | 0.0004 | 0.9999 | 0.9999 | 0.9999 |
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| 0.0007 | 2.0 | 868 | 0.0001 | 1.0000 | 1.0000 | 1.0000 |
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| 0.0002 | 3.0 | 1302 | 0.0001 | 1.0000 | 1.0000 | 1.0000 |
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| 0.0002 | 4.0 | 1736 | 0.0000 | 1.0 | 1.0 | 1.0 |
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| 0.0001 | 5.0 | 2170 | 0.0000 | 1.0 | 1.0 | 1.0 |
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| 0.0001 | 6.0 | 2604 | 0.0000 | 1.0 | 1.0 | 1.0 |
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| 0.0001 | 7.0 | 3038 | 0.0000 | 1.0 | 1.0 | 1.0 |
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| 0.0001 | 8.0 | 3472 | 0.0000 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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model.safetensors
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training_args.bin
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