| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | metrics: |
| | - matthews_correlation |
| | model-index: |
| | - name: roberta-base-finetuned-cola |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # roberta-base-finetuned-cola |
| |
|
| | This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5127 |
| | - Matthews Correlation: 0.5815 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 2e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - distributed_type: IPU |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 64 |
| | - total_eval_batch_size: 20 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| | - training precision: Mixed Precision |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
| | | 0.3138 | 1.0 | 133 | 0.4104 | 0.5538 | |
| | | 0.2082 | 2.0 | 266 | 0.4849 | 0.5402 | |
| | | 0.1687 | 3.0 | 399 | 0.5127 | 0.5815 | |
| | | 0.0865 | 4.0 | 532 | 0.5752 | 0.5661 | |
| | | 0.1008 | 5.0 | 665 | 0.5952 | 0.5764 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.20.1 |
| | - Pytorch 1.10.0+cpu |
| | - Datasets 2.7.1 |
| | - Tokenizers 0.12.1 |
| | |
