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End of training

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  1. README.md +21 -1
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@@ -3,6 +3,11 @@ license: apache-2.0
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  base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: bert-base
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  results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert-base
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 
 
 
 
 
 
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  ## Model description
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@@ -40,6 +51,15 @@ 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 4.36.2
 
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  base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - precision
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+ - recall
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+ - f1
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  model-index:
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  - name: bert-base
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  results: []
 
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  # bert-base
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5726
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+ - Accuracy: 0.6855
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+ - Precision: 0.6780
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+ - Recall: 0.7066
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+ - F1: 0.6920
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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 | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.6944 | 1.0 | 1074 | 0.6932 | 0.4921 | 0.4901 | 0.3924 | 0.4359 |
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+ | 0.6935 | 2.0 | 2148 | 0.6914 | 0.5337 | 0.5443 | 0.4139 | 0.4702 |
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+ | 0.5977 | 3.0 | 3222 | 0.5726 | 0.6855 | 0.6780 | 0.7066 | 0.6920 |
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+
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+
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  ### Framework versions
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  - Transformers 4.36.2