--- license: apache-2.0 base_model: distilbert/distilbert-base-uncased-distilled-squad tags: - generated_from_trainer datasets: - srhv2 model-index: - name: Distilbert-finetuned-SRHV2 results: [] --- # Distilbert-finetuned-SRHV2 This model is a fine-tuned version of [distilbert/distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert/distilbert-base-uncased-distilled-squad) on the srhv2 dataset. It achieves the following results on the evaluation set: - Loss: 1.8417 ## 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: 3e-05 - train_batch_size: 6 - eval_batch_size: 60 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 115 | 1.7873 | | No log | 2.0 | 230 | 1.8417 | ### Framework versions - Transformers 4.40.0 - Pytorch 2.4.1+cu121 - Datasets 2.21.0 - Tokenizers 0.19.1