| --- |
| 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 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.29.0 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
