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+ ---
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+ license: mit
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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: roberta-base-finetuned-cola
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+ results: []
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+ ---
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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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+
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+ # roberta-base-finetuned-cola
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5430
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+ - Matthews Correlation: 0.6617
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: IPU
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 16
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+ - total_eval_batch_size: 5
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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 precision: Mixed Precision
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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+ | 0.5852 | 1.0 | 534 | 0.4062 | 0.5671 |
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+ | 0.5222 | 2.0 | 1068 | 0.4661 | 0.6110 |
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+ | 0.0514 | 3.0 | 1602 | 0.4888 | 0.5918 |
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+ | 0.0302 | 4.0 | 2136 | 0.4854 | 0.6369 |
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+ | 0.0743 | 5.0 | 2670 | 0.5430 | 0.6617 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.20.0
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+ - Pytorch 1.10.0+cpu
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+ - Datasets 2.6.1
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+ - Tokenizers 0.12.1