--- base_model: csebuetnlp/banglat5 tags: - generated_from_trainer model-index: - name: wsdbanglat5_2e4_15 results: [] --- # wsdbanglat5_2e4_15 This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0009 ## 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 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 0.0234 | 1.0 | 1481 | 0.0182 | | 0.019 | 2.0 | 2962 | 0.0126 | | 0.0893 | 3.0 | 4443 | 0.0043 | | 0.0363 | 4.0 | 5924 | 0.0880 | | 0.002 | 5.0 | 7405 | 0.0015 | | 0.0017 | 6.0 | 8886 | 0.0011 | | 0.0011 | 7.0 | 10367 | 0.0011 | | 0.0007 | 8.0 | 11848 | 0.0009 | | 0.0011 | 9.0 | 13329 | 0.0009 | | 0.0006 | 10.0 | 14810 | 0.0008 | | 0.0003 | 11.0 | 16291 | 0.0010 | | 0.0003 | 12.0 | 17772 | 0.0009 | | 0.0002 | 13.0 | 19253 | 0.0009 | ### Framework versions - Transformers 4.41.1 - Pytorch 2.1.2 - Datasets 2.19.1 - Tokenizers 0.19.1