--- license: apache-2.0 base_model: distilgpt2 tags: - generated_from_trainer model-index: - name: judge_JuDe results: [] --- # judge_JuDe 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: 2.4628 ## 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: 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: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 2.9881 | 0.25 | 2057 | 2.7543 | | 2.803 | 0.5 | 4114 | 2.6652 | | 2.7298 | 0.75 | 6171 | 2.6124 | | 2.687 | 1.0 | 8228 | 2.5772 | | 2.6374 | 1.25 | 10285 | 2.5535 | | 2.6161 | 1.5 | 12342 | 2.5332 | | 2.598 | 1.75 | 14399 | 2.5171 | | 2.5773 | 2.0 | 16456 | 2.5050 | | 2.5578 | 2.25 | 18513 | 2.4943 | | 2.5468 | 2.5 | 20570 | 2.4868 | | 2.5385 | 2.75 | 22627 | 2.4783 | | 2.5322 | 3.0 | 24684 | 2.4712 | | 2.5182 | 3.25 | 26741 | 2.4697 | | 2.5188 | 3.5 | 28798 | 2.4657 | | 2.513 | 3.75 | 30855 | 2.4630 | | 2.5123 | 4.0 | 32912 | 2.4628 | ### Framework versions - Transformers 4.34.1 - Pytorch 1.12.1+cu113 - Datasets 2.8.0 - Tokenizers 0.14.1