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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 [distilbert-base-uncased](https://huggingface.co/distilbert-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 Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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### Framework versions
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- Transformers 4.
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- Pytorch 1.10.0+cu111
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- Datasets 2.0.0
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- Tokenizers 0.
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metrics:
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- name: Matthews Correlation
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type: matthews_correlation
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value: 0.5340667882909217
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8951
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- Matthews Correlation: 0.5341
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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| 0.5228 | 1.0 | 535 | 0.5433 | 0.3978 |
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| 0.3485 | 2.0 | 1070 | 0.5720 | 0.4775 |
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| 0.2365 | 3.0 | 1605 | 0.6897 | 0.5014 |
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| 0.1707 | 4.0 | 2140 | 0.7869 | 0.5086 |
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| 0.1301 | 5.0 | 2675 | 0.8951 | 0.5341 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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