Farjfar commited on
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End of training

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README.md CHANGED
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  ---
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- license: apache-2.0
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- base_model: bert-base-cased
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -17,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # BERT-Libertarian
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- This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1831
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- - Precision: 0.5697
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- - Recall: 0.5740
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- - F1: 0.5718
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  ## Model description
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@@ -53,9 +52,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 306 | 0.1200 | 0.5867 | 0.4722 | 0.5232 |
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- | 0.1038 | 2.0 | 612 | 0.1409 | 0.5198 | 0.6324 | 0.5706 |
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- | 0.1038 | 3.0 | 918 | 0.1831 | 0.5697 | 0.5740 | 0.5718 |
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  ### Framework versions
 
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  ---
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+ base_model: Contrastive-Tension/BERT-Base-CT-STSb
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # BERT-Libertarian
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+ This model is a fine-tuned version of [Contrastive-Tension/BERT-Base-CT-STSb](https://huggingface.co/Contrastive-Tension/BERT-Base-CT-STSb) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1146
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+ - Precision: 0.4943
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+ - Recall: 0.6115
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+ - F1: 0.5467
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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+ | No log | 1.0 | 306 | 0.0919 | 0.4068 | 0.5211 | 0.4569 |
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+ | 0.0931 | 2.0 | 612 | 0.0957 | 0.4700 | 0.6100 | 0.5309 |
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+ | 0.0931 | 3.0 | 918 | 0.1146 | 0.4943 | 0.6115 | 0.5467 |
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  ### Framework versions
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