---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wmt16
- autoevaluate/wmt16-sample
metrics:
- bleu
model-index:
- name: translation
  results:
  - task:
      type: text2text-generation
      name: Sequence-to-sequence Language Modeling
    dataset:
      name: wmt16
      type: wmt16
      args: ro-en
    metrics:
    - type: bleu
      value: 28.5866
      name: Bleu
  - 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.eyJoYXNoIjoiNjRlMmFiNmViZmFmYTViZmQ4NWIwNDQ2NmI4MDBiZjg1MzZjMWZkMzY0YjA2ZjE2ZTZhZjI5MWVmOGZhOGRmNiIsInZlcnNpb24iOjF9.9may0WjvZnNl1ulo8rxh3Fl_g1om6QRC7ZklgV2rZ_-w8_ZhA7v62SEopmkIPLX_cpWinwKzg-p-2e18XDgvBQ
    - type: loss
      value: 4.943170070648193
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWQ2MmIwMjcxMDJhOGI1ODE5NjA2ZjViMDYxMjlhY2MzODIwMDI1YWU5NzExMTBjYWUxOTNhYzU1OTc5OGFjNyIsInZlcnNpb24iOjF9._ogVvMQzTw3w77SHzZx-lfKDqoBb3gxjdztg5TFKn_FujSxRw14NhcZxYrpEeZmWa7rcMshhzKFBjTYSaLxIAg
    - type: gen_len
      value: 40.35
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWUwYWNkMmZkM2MxNjJjNmU1MTYzYzliMjU0NGFkZGM2MjBiNDkyNzMxYWJiM2ViNDYxZWMyMDFhMDdiNTJlYiIsInZlcnNpb24iOjF9.PBIJpF-XsDMCV1XrQBmFN_kjUKwlz4bqgNm698AtMgYTrsfkwgOq_CItdgjGK1aXzRqZMfGOzP2NIPeiy3dMBg
---

<!-- 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