---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-inc
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-inc-finetuned-en-to-bn-fp16
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opus-mt-en-inc-finetuned-en-to-bn-fp16

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-inc](https://huggingface.co/Helsinki-NLP/opus-mt-en-inc) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8782
- Bleu: 21.613
- Gen Len: 21.9459

## 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: 1e-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: 1

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
| 1.9652        | 1.0   | 171895 | 1.8782          | 21.613 | 21.9459 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3