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--- |
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language: |
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- en |
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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-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 COLA |
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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: 0.6232164195970928 |
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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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# roberta-base-cola |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the GLUE COLA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0571 |
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- Matthews Correlation: 0.6232 |
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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: 16 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_ratio: 0.06 |
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- num_epochs: 10.0 |
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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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| 0.5497 | 1.0 | 535 | 0.5504 | 0.4613 | |
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| 0.3786 | 2.0 | 1070 | 0.4850 | 0.5470 | |
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| 0.2733 | 3.0 | 1605 | 0.5036 | 0.5792 | |
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| 0.2204 | 4.0 | 2140 | 0.5532 | 0.6139 | |
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| 0.164 | 5.0 | 2675 | 0.9516 | 0.5934 | |
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| 0.1351 | 6.0 | 3210 | 0.9051 | 0.5754 | |
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| 0.1065 | 7.0 | 3745 | 0.9006 | 0.6161 | |
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| 0.0874 | 8.0 | 4280 | 0.9457 | 0.6157 | |
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| 0.0579 | 9.0 | 4815 | 1.0372 | 0.6007 | |
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| 0.0451 | 10.0 | 5350 | 1.0571 | 0.6232 | |
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### Framework versions |
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- Transformers 4.20.0.dev0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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