--- base_model: distilbert/distilgpt2 datasets: - eli5_category license: apache-2.0 tags: - generated_from_trainer model-index: - name: my_awesome_eli5_mlm_model results: [] --- [Visualize in Weights & Biases]() [Visualize in Weights & Biases]() [Visualize in Weights & Biases]() [Visualize in Weights & Biases]() [Visualize in Weights & Biases]() [Visualize in Weights & Biases]() # my_awesome_eli5_mlm_model This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the eli5_category dataset. It achieves the following results on the evaluation set: - Loss: 3.8083 ## 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: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.8873 | 1.0 | 565 | 3.8142 | | 3.8662 | 2.0 | 1130 | 3.8092 | | 3.8244 | 3.0 | 1695 | 3.8083 | ### Framework versions - Transformers 4.42.3 - Pytorch 2.1.2 - Datasets 2.20.0 - Tokenizers 0.19.1