--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad_v2 model-index: - name: EkattorBert-multilingual-finetuned-squad_v2 results: [] language: - bn - en --- # EkattorBert-multilingual-finetuned-squad_v2 This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the squad_v2 dataset. It achieves the following results on the evaluation set: - Loss: 0.9630 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.0202 | 1.0 | 8258 | 0.9630 | ### Framework versions - Transformers 4.27.3 - Pytorch 1.13.1+cu116 - Datasets 2.10.1 - Tokenizers 0.13.2