My Awesome Eli5 Clm Model

--- library_name: transformers license: apache-2.0 base_model: distilbert/distilgpt2 tags: - generated_from_trainer model-index: - name: my_awesome_eli5_clm-model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # my_awesome_eli5_clm-model This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.7949 ## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.9148 | 1.0 | 1324 | 3.8072 | | 3.8246 | 2.0 | 2648 | 3.7964 | | 3.7763 | 3.0 | 3972 | 3.7949 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

Source context: 19 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo Harryk2Hug/my_awesome_eli5_clm-model

Source context: 13 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo Harryk2Hug/my_awesome_eli5_clm-model