--- base_model: csebuetnlp/banglat5 tags: - generated_from_trainer metrics: - rouge model-index: - name: banglat5-finetuned-headlineBT5_PP results: [] --- # banglat5-finetuned-headlineBT5_PP 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: 6.6356 - Rouge1: 0.0 - Rouge2: 0.0 - Rougel: 0.0 - Rougelsum: 0.0 - Gen Len: 16.4375 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | 14.3172 | 1.0 | 80 | 8.5273 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0875 | | 11.5082 | 2.0 | 160 | 7.7195 | 0.0 | 0.0 | 0.0 | 0.0 | 11.7875 | | 8.8925 | 3.0 | 240 | 7.1556 | 0.0 | 0.0 | 0.0 | 0.0 | 17.4625 | | 8.8689 | 4.0 | 320 | 6.7662 | 0.0 | 0.0 | 0.0 | 0.0 | 17.6 | | 8.6182 | 5.0 | 400 | 6.6356 | 0.0 | 0.0 | 0.0 | 0.0 | 16.4375 | ### Framework versions - Transformers 4.39.3 - Pytorch 2.1.2 - Datasets 2.18.0 - Tokenizers 0.15.2