--- library_name: transformers license: apache-2.0 base_model: Gholamreza/distilbert-fa-zwnj-base-finetuned-pquad tags: - generated_from_trainer datasets: - pquad model-index: - name: distilbert-fa-zwnj-base-finetuned-pquad-pquad results: [] --- # distilbert-fa-zwnj-base-finetuned-pquad-pquad 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 the pquad 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 ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.1 - Tokenizers 0.19.1 ## Computed Metrics {'exact': 43.91925777331996, 'f1': 59.06087423686695, 'total': 7976, 'HasAns_exact': 58.41534612176814, 'HasAns_f1': 78.5603891431611, 'HasAns_total': 5995, 'NoAns_exact': 0.05047955577990914, 'NoAns_f1': 0.05047955577990914, 'NoAns_total': 1981, 'best_exact': 43.91925777331996, 'best_exact_thresh': 0.0, 'best_f1': 59.0608742368668, 'best_f1_thresh': 0.0}