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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- glue
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metrics:
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- matthews_correlation
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model-index:
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- name: electra-small-discriminator-CoLA
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results:
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- task:
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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: validation
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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: 0.5857509882742485
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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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should probably proofread and complete it, then remove this comment. -->
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# electra-small-discriminator-CoLA
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This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4569
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- Matthews Correlation: 0.5858
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 8e-05
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- train_batch_size: 512
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- eval_batch_size: 16
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- seed: 32754
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- distributed_type: multi-GPU
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 8.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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| 0.6139 | 1.0 | 17 | 0.5997 | 0.0 |
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| 0.5315 | 2.0 | 34 | 0.4890 | 0.5154 |
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| 0.4244 | 3.0 | 51 | 0.4469 | 0.5433 |
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| 0.3568 | 4.0 | 68 | 0.4403 | 0.5510 |
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| 0.319 | 5.0 | 85 | 0.4517 | 0.5654 |
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| 0.2887 | 6.0 | 102 | 0.4656 | 0.5728 |
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| 0.2771 | 7.0 | 119 | 0.4558 | 0.5883 |
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| 0.2729 | 8.0 | 136 | 0.4569 | 0.5858 |
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 1.13.1+cu117
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- Datasets 2.8.0
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- Tokenizers 0.13.1
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