--- base_model: csebuetnlp/banglat5 tags: - generated_from_trainer metrics: - rouge model-index: - name: banglat5-headline_WithIp-1e-4 results: [] --- # banglat5-headline_WithIp-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: 2.8981 - Rouge1: 0.0 - Rouge2: 0.0 - Rougel: 0.0 - Rougelsum: 0.0 - Gen Len: 9.1935 ## 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: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | 4.301 | 1.0 | 403 | 3.1722 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0223 | | 3.6132 | 2.0 | 806 | 2.9466 | 0.0 | 0.0 | 0.0 | 0.0 | 8.5955 | | 2.7738 | 3.0 | 1209 | 2.8994 | 0.0 | 0.0 | 0.0 | 0.0 | 8.464 | | 2.756 | 4.0 | 1612 | 2.8967 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0918 | | 2.4844 | 5.0 | 2015 | 2.8981 | 0.0 | 0.0 | 0.0 | 0.0 | 9.1935 | ### Framework versions - Transformers 4.39.3 - Pytorch 2.1.2 - Datasets 2.18.0 - Tokenizers 0.15.2