--- license: apache-2.0 base_model: makhataei/qa-persian-roberta-fa-zwnj-base tags: - generated_from_trainer datasets: - parsinlu_reading_comprehension model-index: - name: qa-persian-roberta-fa-zwnj-base results: [] --- # qa-persian-roberta-fa-zwnj-base This model is a fine-tuned version of [makhataei/qa-persian-roberta-fa-zwnj-base](https://huggingface.co/makhataei/qa-persian-roberta-fa-zwnj-base) on the parsinlu_reading_comprehension dataset. It achieves the following results on the evaluation set: - Loss: 5.6923 ## 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: 0.001 - train_batch_size: 14 - eval_batch_size: 14 - 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 | |:-------------:|:-----:|:----:|:---------------:| | 5.6141 | 1.0 | 44 | 5.6923 | | 5.7015 | 2.0 | 88 | 5.6923 | | 5.7426 | 3.0 | 132 | 5.6923 | | 5.7496 | 4.0 | 176 | 5.6923 | | 5.8146 | 5.0 | 220 | 5.6923 | | 5.8157 | 6.0 | 264 | 5.6923 | | 5.8118 | 7.0 | 308 | 5.6923 | | 5.8191 | 8.0 | 352 | 5.6923 | | 5.8186 | 9.0 | 396 | 5.6923 | | 5.8705 | 10.0 | 440 | 5.6923 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.0.1+cu117 - Datasets 2.15.0 - Tokenizers 0.15.0