--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilbert-finetuned-lr1e-05-epochs15 results: [] --- # distilbert-finetuned-lr1e-05-epochs15 This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the None dataset. It achieves the following results on the evaluation set: - Loss: 3.0019 ## 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: 1e-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: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 10 | 4.0327 | | No log | 2.0 | 20 | 3.3750 | | No log | 3.0 | 30 | 3.2252 | | No log | 4.0 | 40 | 3.0340 | | No log | 5.0 | 50 | 2.9771 | | No log | 6.0 | 60 | 2.9568 | | No log | 7.0 | 70 | 2.9837 | | No log | 8.0 | 80 | 2.9969 | | No log | 9.0 | 90 | 2.8922 | | No log | 10.0 | 100 | 2.9075 | | No log | 11.0 | 110 | 2.9617 | | No log | 12.0 | 120 | 2.9936 | | No log | 13.0 | 130 | 2.9937 | | No log | 14.0 | 140 | 2.9997 | | No log | 15.0 | 150 | 3.0019 | ### Framework versions - Transformers 4.28.1 - Pytorch 2.0.0+cu118 - Datasets 2.12.0 - Tokenizers 0.13.3