| | --- |
| | library_name: transformers |
| | base_model: Sabbir772/BhBHT5New |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - bleu |
| | model-index: |
| | - name: BhBHT5New |
| | 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. --> |
| |
|
| | # BhBHT5New |
| |
|
| | This model is a fine-tuned version of [Sabbir772/BhBHT5New](https://huggingface.co/Sabbir772/BhBHT5New) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.1106 |
| | - Bleu: 53.6682 |
| | - Chrf: 76.5616 |
| |
|
| | ## 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: 5e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 2 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | |
| | |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:| |
| | | 0.799 | 0.2851 | 400 | 1.1026 | 53.4427 | 76.3587 | |
| | | 0.768 | 0.5702 | 800 | 1.0923 | 54.0598 | 76.5200 | |
| | | 0.7882 | 0.8553 | 1200 | 1.1048 | 53.8004 | 76.4712 | |
| | | 0.7507 | 1.1404 | 1600 | 1.1046 | 53.4656 | 76.4324 | |
| | | 0.7357 | 1.4255 | 2000 | 1.1049 | 52.9521 | 76.1502 | |
| | | 0.7166 | 1.7106 | 2400 | 1.1104 | 53.7297 | 76.6875 | |
| | | 0.7087 | 1.9957 | 2800 | 1.1106 | 53.6682 | 76.5616 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.57.1 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.1 |
| | |
