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Model save

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README.md CHANGED
@@ -20,10 +20,10 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0001
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- - Precision: 1.0000
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- - Recall: 1.0000
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- - F1: 1.0000
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  ## Model description
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@@ -48,19 +48,20 @@ The following hyperparameters were used during training:
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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: 7
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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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- | 0.0274 | 1.0 | 434 | 0.0003 | 1.0000 | 1.0000 | 1.0000 |
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- | 0.0008 | 2.0 | 868 | 0.0002 | 1.0000 | 1.0000 | 1.0000 |
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- | 0.0003 | 3.0 | 1302 | 0.0001 | 1.0000 | 1.0000 | 1.0000 |
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- | 0.0002 | 4.0 | 1736 | 0.0002 | 1.0000 | 1.0000 | 1.0000 |
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- | 0.0001 | 5.0 | 2170 | 0.0001 | 1.0000 | 1.0000 | 1.0000 |
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- | 0.0001 | 6.0 | 2604 | 0.0001 | 1.0000 | 1.0000 | 1.0000 |
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- | 0.0001 | 7.0 | 3038 | 0.0001 | 1.0000 | 1.0000 | 1.0000 |
 
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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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