--- license: apache-2.0 base_model: distilbert/distilbert-base-cased-distilled-squad tags: - generated_from_trainer datasets: - srh_test66 model-index: - name: distilbert-base-cased-distilled-squad-finetuned-squad-test3 results: [] --- # distilbert-base-cased-distilled-squad-finetuned-squad-test3 This model is a fine-tuned version of [distilbert/distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert/distilbert-base-cased-distilled-squad) on the srh_test66 dataset. It achieves the following results on the evaluation set: - Loss: 1.6070 ## 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 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.1941 | 1.0 | 44 | 1.6611 | | 2.318 | 2.0 | 88 | 1.6329 | | 1.5787 | 3.0 | 132 | 1.6070 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.1.0+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2