End of training
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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: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 327
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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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### 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: 0.0014
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- Precision: 0.9977
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- Recall: 0.9982
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- F1: 0.9980
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 327
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- num_epochs: 10
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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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| 0.0072 | 0.7634 | 500 | 0.0061 | 0.9697 | 0.9905 | 0.98 |
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| 0.0034 | 1.5267 | 1000 | 0.0031 | 0.9879 | 0.9960 | 0.9920 |
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| 0.0016 | 2.2901 | 1500 | 0.0017 | 0.9958 | 0.9980 | 0.9969 |
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| 0.0012 | 3.0534 | 2000 | 0.0017 | 0.9958 | 0.9975 | 0.9966 |
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| 0.0007 | 3.8168 | 2500 | 0.0015 | 0.9976 | 0.9983 | 0.9980 |
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| 0.0004 | 4.5802 | 3000 | 0.0015 | 0.9976 | 0.9977 | 0.9977 |
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| 0.0006 | 5.3435 | 3500 | 0.0014 | 0.9977 | 0.9982 | 0.9980 |
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### Framework versions
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model.safetensors
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