--- base_model: csebuetnlp/banglat5 tags: - generated_from_trainer metrics: - rouge model-index: - name: banglat5-headline_WithIp-b8-1e-4 results: [] --- # banglat5-headline_WithIp-b8-1e-4 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: 2.9335 - Rouge1: 0.0 - Rouge2: 0.0 - Rougel: 0.0 - Rougelsum: 0.0 - Gen Len: 8.861 ## 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: 8 - eval_batch_size: 8 - 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 | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | 4.5814 | 1.0 | 202 | 3.4611 | 0.0 | 0.0 | 0.0 | 0.0 | 11.9231 | | 3.4664 | 2.0 | 404 | 3.0551 | 0.0 | 0.0 | 0.0 | 0.0 | 8.335 | | 3.5643 | 3.0 | 606 | 2.9732 | 0.0 | 0.0 | 0.0 | 0.0 | 8.871 | | 2.9927 | 4.0 | 808 | 2.9406 | 0.0 | 0.0 | 0.0 | 0.0 | 8.6774 | | 3.0685 | 5.0 | 1010 | 2.9335 | 0.0 | 0.0 | 0.0 | 0.0 | 8.861 | ### Framework versions - Transformers 4.40.2 - Pytorch 2.2.1+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1