--- library_name: transformers license: apache-2.0 base_model: Gholamreza/distilbert-fa-zwnj-base-finetuned-pquad tags: - generated_from_trainer model-index: - name: distilbert-fa-zwnj-base-finetuned-pquad-PersianQuAD results: [] --- # distilbert-fa-zwnj-base-finetuned-pquad-PersianQuAD This model is a fine-tuned version of [Gholamreza/distilbert-fa-zwnj-base-finetuned-pquad](https://huggingface.co/Gholamreza/distilbert-fa-zwnj-base-finetuned-pquad) on an unknown dataset. ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results { 'exact': 65.5, 'f1': 71.54387668799097, 'total': 1000, 'HasAns_exact': 65.5, 'HasAns_f1': 71.54387668799097, 'HasAns_total': 1000, 'best_exact': 65.5, 'best_exact_thresh': 0.0, 'best_f1': 71.54387668799097, 'best_f1_thresh': 0.0 } ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.1 - Tokenizers 0.19.1