--- library_name: transformers license: apache-2.0 base_model: distilbert-base-uncased-distilled-squad tags: - generated_from_trainer model-index: - name: model results: [] --- # model This model is a fine-tuned version of [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0000 ## 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: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 2 | 1.5204 | | No log | 2.0 | 4 | 0.1924 | | No log | 3.0 | 6 | 0.0326 | | No log | 4.0 | 8 | 0.0087 | | No log | 5.0 | 10 | 0.0034 | | No log | 6.0 | 12 | 0.0017 | | No log | 7.0 | 14 | 0.0009 | | No log | 8.0 | 16 | 0.0005 | | No log | 9.0 | 18 | 0.0002 | | No log | 10.0 | 20 | 0.0001 | | No log | 11.0 | 22 | 0.0001 | | No log | 12.0 | 24 | 0.0000 | | No log | 13.0 | 26 | 0.0000 | | No log | 14.0 | 28 | 0.0000 | | No log | 15.0 | 30 | 0.0000 | | No log | 16.0 | 32 | 0.0000 | | No log | 17.0 | 34 | 0.0000 | | No log | 18.0 | 36 | 0.0000 | | No log | 19.0 | 38 | 0.0000 | | No log | 20.0 | 40 | 0.0000 | ### Framework versions - Transformers 4.45.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.1 - Tokenizers 0.20.1