--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilGPT-ft-eli5 results: [] --- # distilGPT-ft-eli5 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: 5.5643 ## 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: 30 - 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 | 281 | 5.8277 | | 5.7427 | 2.0 | 562 | 5.7525 | | 5.7427 | 3.0 | 843 | 5.7016 | | 5.5614 | 4.0 | 1124 | 5.6593 | | 5.5614 | 5.0 | 1405 | 5.6273 | | 5.4408 | 6.0 | 1686 | 5.6029 | | 5.4408 | 7.0 | 1967 | 5.5855 | | 5.3522 | 8.0 | 2248 | 5.5739 | | 5.2948 | 9.0 | 2529 | 5.5670 | | 5.2948 | 10.0 | 2810 | 5.5643 | ### Framework versions - Transformers 4.17.0 - Pytorch 1.6.0 - Datasets 2.0.0 - Tokenizers 0.11.6