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Model save

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  1. README.md +21 -0
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@@ -3,6 +3,11 @@ license: mit
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  base_model: roberta-large
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  tags:
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: roberta-large-ner-new
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  results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # roberta-large-ner-new
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  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
 
 
 
 
 
 
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  ## Model description
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@@ -40,6 +51,16 @@ The following hyperparameters were used during training:
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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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  base_model: roberta-large
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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-large-ner-new
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  results: []
 
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  # roberta-large-ner-new
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  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1106
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+ - Precision: 0.9670
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+ - Recall: 0.9604
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+ - F1: 0.9637
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+ - Accuracy: 0.9600
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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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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1241 | 0.71 | 5000 | 0.1161 | 0.9618 | 0.9505 | 0.9561 | 0.9521 |
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+ | 0.0993 | 1.42 | 10000 | 0.1132 | 0.9633 | 0.9568 | 0.9600 | 0.9562 |
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+ | 0.0812 | 2.13 | 15000 | 0.1223 | 0.9662 | 0.9574 | 0.9618 | 0.9580 |
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+ | 0.074 | 2.84 | 20000 | 0.1118 | 0.9661 | 0.9607 | 0.9634 | 0.9598 |
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+
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+
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  ### Framework versions
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  - Transformers 4.35.2