README.md

---
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- wmt16
model-index:
- name: opus-mt-en-de-finetuned-en-to-de
  results: []
---

<!-- 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. -->

# opus-mt-en-de-finetuned-en-to-de

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-de](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) on the wmt16 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2799
- Bleu1: 0.5227
- Bleu2: 0.3993
- Rougelsum: 0.5577
- Gen Len: 27.2379

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu1  | Bleu2  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:---------:|:-------:|
| 1.5412        | 1.0   | 15625 | 1.2853          | 0.5232 | 0.4001 | 0.5595    | 27.1014 |
| 1.5375        | 2.0   | 31250 | 1.2816          | 0.5229 | 0.3996 | 0.5582    | 27.0881 |
| 1.5452        | 3.0   | 46875 | 1.2804          | 0.5227 | 0.3995 | 0.5577    | 27.2328 |
| 1.5405        | 4.0   | 62500 | 1.2800          | 0.5225 | 0.3993 | 0.5577    | 27.2365 |
| 1.5373        | 5.0   | 78125 | 1.2799          | 0.5227 | 0.3993 | 0.5577    | 27.2379 |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3