--- base_model: ka05ar/Banglat5_EDx1 tags: - generated_from_trainer model-index: - name: wsdbanglat5_1e4_ED1 results: [] --- # wsdbanglat5_1e4_ED1 This model is a fine-tuned version of [ka05ar/Banglat5_EDx1](https://huggingface.co/ka05ar/Banglat5_EDx1) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0049 ## 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: 0.0001 - 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: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 0.1282 | 1.0 | 1481 | 0.0998 | | 0.0283 | 2.0 | 2962 | 0.0112 | | 0.0162 | 3.0 | 4443 | 0.0081 | | 0.0112 | 4.0 | 5924 | 0.0051 | | 0.0088 | 5.0 | 7405 | 0.0044 | | 0.0063 | 6.0 | 8886 | 0.0046 | | 0.0064 | 7.0 | 10367 | 0.0048 | | 0.0055 | 8.0 | 11848 | 0.0049 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.1.2 - Datasets 2.19.2 - Tokenizers 0.19.1