--- base_model: csebuetnlp/banglat5 tags: - generated_from_trainer metrics: - rouge model-index: - name: banglat5-headline-BanglaT5 results: [] --- # banglat5-headline-BanglaT5 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: 3.6345 - Rouge1: 0.0 - Rouge2: 0.0 - Rougel: 0.0 - Rougelsum: 0.0 - Gen Len: 11.9233 ## 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: 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: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | 6.0394 | 1.0 | 403 | 4.8558 | 0.0 | 0.0 | 0.0 | 0.0 | 18.0817 | | 4.8854 | 2.0 | 806 | 4.1942 | 0.0 | 0.0 | 0.0 | 0.0 | 13.6906 | | 4.3995 | 3.0 | 1209 | 3.8558 | 0.0 | 0.0 | 0.0 | 0.0 | 12.4158 | | 4.4694 | 4.0 | 1612 | 3.6887 | 0.0 | 0.0 | 0.0 | 0.0 | 12.0644 | | 4.0905 | 5.0 | 2015 | 3.6345 | 0.0 | 0.0 | 0.0 | 0.0 | 11.9233 | ### Framework versions - Transformers 4.39.3 - Pytorch 2.1.2 - Datasets 2.18.0 - Tokenizers 0.15.2