| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: banglat5_nmt_bn_en-finetuned-bn-to-bn | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # banglat5_nmt_bn_en-finetuned-bn-to-bn | |
| 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: 0.1006 | |
| - Gen Len: 20.338 | |
| ## 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: 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: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | |
| | 0.0 | 1.0 | 587 | nan | 0.1006 | 20.338 | | |
| ### Framework versions | |
| - Transformers 4.26.1 | |
| - Pytorch 1.13.1+cu116 | |
| - Datasets 2.9.0 | |
| - Tokenizers 0.13.2 | |