| | --- |
| | license: bigscience-openrail-m |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: Bangla summarization using mt5-base |
| | 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. --> |
| |
|
| | # mt5_large_riju_data |
| | |
| | This model is a fine-tuned version of [MahdiSUST/bn_sum](https://huggingface.co/MahdiSUST/bn_sum) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 1.3531 |
| | - eval_rouge1: {'precision': 41.8541697896367, 'recall': 41.3654041539666, 'fmeasure': 40.98106539607074} |
| | - eval_rougeL: {'precision': 39.824364163293794, 'recall': 39.31906760605605, 'fmeasure': 38.97108720823315} |
| | - eval_runtime: 229.14 |
| | - eval_samples_per_second: 4.159 |
| | - eval_steps_per_second: 2.082 |
| | - epoch: 9 |
| | |
| | ## 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: 5.6e-05 |
| | - train_batch_size: 9 |
| | - eval_batch_size: 9 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.27.1 |
| | - Pytorch 1.13.1+cu116 |
| | - Datasets 2.10.1 |
| | - Tokenizers 0.13.2 |
| | |
