--- license: apache-2.0 base_model: distilbert-base-uncased-distilled-squad tags: - generated_from_trainer model-index: - name: bankstatementmodelver2 results: [] --- # bankstatementmodelver2 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: 5.9506 ## 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: 0.01 - train_batch_size: 16 - eval_batch_size: 11 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 5.9985 | 1.0 | 981 | 5.9506 | | 5.9666 | 2.0 | 1962 | 5.9506 | | 5.9623 | 3.0 | 2943 | 5.9506 | | 5.9592 | 4.0 | 3924 | 5.9506 | | 5.9577 | 5.0 | 4905 | 5.9506 | | 5.956 | 6.0 | 5886 | 5.9506 | | 5.9565 | 7.0 | 6867 | 5.9506 | | 5.9543 | 8.0 | 7848 | 5.9506 | | 5.9535 | 9.0 | 8829 | 5.9506 | | 5.9519 | 10.0 | 9810 | 5.9506 | ### Framework versions - Transformers 4.33.1 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3