--- license: apache-2.0 base_model: distilbert-base-uncased tags: - generated_from_trainer metrics: - matthews_correlation model-index: - name: Homework01 results: [] --- # Homework01 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.1272 - Matthews Correlation: 0.4633 ## 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: 0.0001 - 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 | |:-------------:|:-----:|:----:|:---------------:|:--------------------:| | 0.5722 | 1.0 | 535 | 0.5384 | 0.3159 | | 0.4008 | 2.0 | 1070 | 0.5775 | 0.4218 | | 0.2655 | 3.0 | 1605 | 0.8239 | 0.3985 | | 0.1743 | 4.0 | 2140 | 0.8277 | 0.4366 | | 0.1155 | 5.0 | 2675 | 1.1272 | 0.4633 | ### Framework versions - Transformers 4.36.2 - Pytorch 2.1.0+cu121 - Datasets 2.16.0 - Tokenizers 0.15.0