| | --- |
| | base_model: csebuetnlp/banglat5 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - bleu |
| | model-index: |
| | - name: Model_run_korai_lagbe |
| | 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. --> |
| |
|
| | # Model_run_korai_lagbe |
| | |
| | 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: 1.5785 |
| | - Bleu: 18.6683 |
| | - Gen Len: 11.5981 |
| | |
| | ## 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: 0.0005 |
| | - 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 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | | 1.9574 | 1.0 | 1800 | 1.5379 | 16.7857 | 11.6603 | |
| | | 1.5368 | 2.0 | 3600 | 1.4768 | 17.6951 | 11.6234 | |
| | | 1.2285 | 3.0 | 5400 | 1.4869 | 18.2589 | 11.6088 | |
| | | 0.9943 | 4.0 | 7200 | 1.5305 | 18.0562 | 11.5131 | |
| | | 0.8437 | 5.0 | 9000 | 1.5785 | 18.6683 | 11.5981 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.37.2 |
| | - Pytorch 1.13.1+cu117 |
| | - Datasets 2.17.1 |
| | - Tokenizers 0.15.2 |
| | |
