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README.md
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---
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language:
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- en
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tags:
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- generated_from_trainer
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datasets:
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name: Text Classification
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type: text-classification
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dataset:
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name:
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type: glue
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args: cola
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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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# mobilebert_sa_GLUE_Experiment_cola
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This model is a fine-tuned version of [](https://huggingface.co/) on the
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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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| 0.4884 | 10.0 | 340 | 0.7010 | 0.0801 |
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| 0.4559 | 11.0 | 374 | 0.6731 | 0.0905 |
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| 0.4367 | 12.0 | 408 | 0.6893 | 0.0901 |
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| 0.4319 | 13.0 | 442 | 0.7031 | 0.0850 |
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| 0.4153 | 14.0 | 476 | 0.7184 | 0.0821 |
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| 0.4048 | 15.0 | 510 | 0.8069 | 0.1045 |
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| 0.3926 | 16.0 | 544 | 0.7495 | 0.1315 |
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| 0.3907 | 17.0 | 578 | 0.8371 | 0.1020 |
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### Framework versions
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---
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tags:
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- generated_from_trainer
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datasets:
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name: Text Classification
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type: text-classification
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dataset:
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name: glue
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type: glue
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config: cola
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split: train
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args: cola
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metrics:
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- name: Matthews Correlation
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type: matthews_correlation
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value: 0.09007205990892461
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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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# mobilebert_sa_GLUE_Experiment_cola
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This model is a fine-tuned version of [](https://huggingface.co/) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6893
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- Matthews Correlation: 0.0901
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## Model description
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| 0.4884 | 10.0 | 340 | 0.7010 | 0.0801 |
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| 0.4559 | 11.0 | 374 | 0.6731 | 0.0905 |
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| 0.4367 | 12.0 | 408 | 0.6893 | 0.0901 |
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### Framework versions
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