| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - bleu |
| | model-index: |
| | - name: HingFlow |
| | results: [] |
| | datasets: |
| | - cfilt/iitb-english-hindi |
| | language: |
| | - en |
| | library_name: transformers |
| | pipeline_tag: translation |
| | --- |
| | |
| | # HingFlow |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1887 |
| | - Bleu: 72.3468 |
| | - Gen Len: 5.9953 |
| |
|
| | ## Model description |
| | https://github.com/SRDdev/HingFlow |
| |
|
| | ## 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: 2 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | | 0.1505 | 1.0 | 1000 | 0.2053 | 71.6108 | 5.8418 | |
| | | 0.1057 | 2.0 | 2000 | 0.1887 | 72.3468 | 5.9953 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.29.0 |
| | - Pytorch 2.0.0+cu118 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
