---
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

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: 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