--- license: apache-2.0 base_model: distilbert-base-uncased tags: - generated_from_trainer metrics: - matthews_correlation model-index: - name: homework001 results: [] --- # homework001 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: 1.0680 - Matthews Correlation: 0.5309 ## 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: 3.5801518396562525e-05 - train_batch_size: 8 - eval_batch_size: 16 - seed: 37 - 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 | |:-------------:|:-----:|:----:|:---------------:|:--------------------:| | 0.5108 | 1.0 | 1069 | 0.4912 | 0.4402 | | 0.3536 | 2.0 | 2138 | 0.5719 | 0.5015 | | 0.2655 | 3.0 | 3207 | 0.7624 | 0.5285 | | 0.1485 | 4.0 | 4276 | 1.0106 | 0.5132 | | 0.1107 | 5.0 | 5345 | 1.0680 | 0.5309 | ### Framework versions - Transformers 4.36.2 - Pytorch 2.1.0+cu121 - Datasets 2.16.0 - Tokenizers 0.15.0