--- library_name: transformers base_model: csebuetnlp/banglat5_nmt_bn_en tags: - generated_from_trainer metrics: - bleu model-index: - name: my_awesome_opus_books_model results: [] --- # my_awesome_opus_books_model This model is a fine-tuned version of [csebuetnlp/banglat5_nmt_bn_en](https://huggingface.co/csebuetnlp/banglat5_nmt_bn_en) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: nan - Bleu: 36.4281 - Gen Len: 82.125 ## 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: 1e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| | No log | 1.0 | 4 | nan | 36.4281 | 82.125 | | No log | 2.0 | 8 | nan | 36.4281 | 82.125 | | No log | 3.0 | 12 | nan | 36.4281 | 82.125 | | No log | 4.0 | 16 | nan | 36.4281 | 82.125 | | No log | 5.0 | 20 | nan | 36.4281 | 82.125 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.1 - Tokenizers 0.19.1