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README.md
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metrics:
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- name: Matthews Correlation
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type: matthews_correlation
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Matthews Correlation: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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| 0.
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### Framework versions
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metrics:
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- name: Matthews Correlation
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type: matthews_correlation
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value: 0.4706932444154383
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4939
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- Matthews Correlation: 0.4707
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 7.590049876247753e-06
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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| 0.5211 | 1.0 | 535 | 0.4939 | 0.4707 |
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### Framework versions
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