--- license: apache-2.0 base_model: distilgpt2 tags: - generated_from_trainer model-index: - name: MLIsScary221 results: [] --- # MLIsScary221 This model is a fine-tuned version of [distilgpt2](https://huggingface.co./distilgpt2) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.3377 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 1 | 3.9704 | | No log | 2.0 | 2 | 3.5749 | | No log | 3.0 | 3 | 3.2832 | | No log | 4.0 | 4 | 3.0478 | | No log | 5.0 | 5 | 2.8582 | | No log | 6.0 | 6 | 2.6982 | | No log | 7.0 | 7 | 2.5625 | | No log | 8.0 | 8 | 2.4528 | | No log | 9.0 | 9 | 2.3767 | | No log | 10.0 | 10 | 2.3377 | ### Framework versions - Transformers 4.31.0 - Pytorch 2.0.1+cu118 - Datasets 2.13.1 - Tokenizers 0.13.3