--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: distilbert-base-uncased-finetuned-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola split: train args: cola metrics: - name: Matthews Correlation type: matthews_correlation value: 0.5640063794282216 --- # distilbert-base-uncased-finetuned-cola This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset. It achieves the following results on the evaluation set: - Loss: 0.8231 - Matthews Correlation: 0.5640 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data [CoLA](https://nyu-mll.github.io/CoLA/) ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |:-------------:|:-----:|:----:|:---------------:|:--------------------:| | 0.5249 | 1.0 | 535 | 0.4499 | 0.5117 | | 0.3431 | 2.0 | 1070 | 0.4726 | 0.5515 | | 0.2262 | 3.0 | 1605 | 0.6070 | 0.5330 | | 0.1632 | 4.0 | 2140 | 0.7148 | 0.5556 | | 0.1318 | 5.0 | 2675 | 0.8231 | 0.5640 | ### Framework versions - Transformers 4.22.0.dev0 - Pytorch 1.12.1 - Datasets 2.4.0 - Tokenizers 0.11.0