--- base_model: imvladikon/alephbertgimmel-base-512 tags: - generated_from_trainer datasets: - imvladikon/parashoot model-index: - name: alephbertgimmel_parashoot results: [] language: - he metrics: - f1 - exact_match pipeline_tag: question-answering --- # alephbertgimmel_parashoot This model is a fine-tuned version of [imvladikon/alephbertgimmel-base-512](https://huggingface.co/imvladikon/alephbertgimmel-base-512) on the [imvladikon/parashoot](https://huggingface.co/datasets/imvladikon/parashoot) 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: 3e-05 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5.0 ### Training results ``` ***** predict metrics ***** predict_samples = 1102 test_exact_match = 27.7073 test_f1 = 51.787 test_runtime = 0:00:32.05 test_samples_per_second = 34.383 test_steps_per_second = 4.306 ``` ### Framework versions - Transformers 4.31.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.2 - Tokenizers 0.13.3