--- base_model: ka05ar/Banglat5_Dx1 tags: - generated_from_trainer model-index: - name: wsdbanglat5_F2e4 results: [] --- # wsdbanglat5_F2e4 This model is a fine-tuned version of [ka05ar/Banglat5_Dx1](https://huggingface.co/ka05ar/Banglat5_Dx1) on the None dataset. It achieves the following results on the evaluation set: - Loss: nan ## 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: 0.0002 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 15 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.0 | 1.0 | 1481 | nan | | 0.0 | 2.0 | 2962 | nan | | 0.0 | 3.0 | 4443 | nan | | 0.0 | 4.0 | 5924 | nan | ### Framework versions - Transformers 4.41.2 - Pytorch 2.1.2 - Datasets 2.19.2 - Tokenizers 0.19.1