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README.md
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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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- glue
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metrics:
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- matthews_correlation
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model-index:
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- name: longformer-base-4096-finetuned-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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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: 0.6088262979015748
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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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# longformer-base-4096-finetuned-cola
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5601
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- Matthews Correlation: 0.6088
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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: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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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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| No log | 1.0 | 268 | 0.5854 | 0.4865 |
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| 0.4087 | 2.0 | 536 | 0.4939 | 0.5495 |
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| 0.4087 | 3.0 | 804 | 0.6292 | 0.5687 |
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| 0.1978 | 4.0 | 1072 | 0.5601 | 0.6088 |
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| 0.1978 | 5.0 | 1340 | 0.6785 | 0.5931 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.12.0+cu102
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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