---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wmt16
- autoevaluate/wmt16-sample
metrics:
- bleu
duplicated_from: autoevaluate/translation
model-index:
- name: autoevaluate/translation-not-evaluated
  results:
  - task:
      type: translation
      name: Translation
    dataset:
      name: autoevaluate/wmt16-ro-en-sample
      type: autoevaluate/wmt16-ro-en-sample
      config: autoevaluate--wmt16-ro-en-sample
      split: test
    metrics:
    - type: bleu
      value: 2.7663
      name: BLEU
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjliZDkxYzhhNDNkYTZkN2Q1MjA5ZmNjYWE2ZjViZDc3ODhmYTZhZDY4N2ViNWZmZTMzZjUwZTQ3YWIwOWNkMSIsInZlcnNpb24iOjF9.D9Y87BbOzY4GpXSTN0OuSiE92DlZR7Go_aJXoPJPgZ5erlPBtRM4dM64VpOET2fOoOWBP2mqyXryovjIQca8Bg
    - type: loss
      value: 4.943170070648193
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWFkNGIxMjJiMTUyMjM5NWFkYjMyODM4N2IwNTZhMjBiMTQ3YmU0ZWY5YjY5ZWU5NmRhOTYyZTIxZjE2ODBjNiIsInZlcnNpb24iOjF9.mQGJnrn2U5tJ5B2LcoCTZQFdJtbsTvu3q0U-Vlcx1unwhKF2q9aNtusz3xJanANreHs19uNcXvto3gRYKUswDw
    - type: gen_len
      value: 40.35
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGJjODc5YTI2NzYxZTE2YzFlZTAzMTYzMTI5OWE4ZjU2MzdhNTZiOTUzOGRlZmMwNzI4ZjVhZTcwNGE0ODQyZCIsInZlcnNpb24iOjF9.gDcAyE1NYrHlz1zw4zNMGkL0vobpNhZpx2DYvMIJQmkydcv5mdKMzujuDy4xFmHtP4bQTkvH96m7tLxCv3SgCw
---

<!-- 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. -->

# translation

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on the wmt16 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3170
- Bleu: 28.5866
- Gen Len: 33.9575

## 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
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.8302        | 0.03  | 1000 | 1.3170          | 28.5866 | 33.9575 |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1