---
license: apache-2.0
base_model: dokyoungkim/wmt19-finetuned-law-de-to-en
tags:
- tanslation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: wmt19-finetuned-law-de-to-en-2
  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. -->

# wmt19-finetuned-law-de-to-en-2

This model is a fine-tuned version of [dokyoungkim/wmt19-finetuned-law-de-to-en](https://huggingface.co/dokyoungkim/wmt19-finetuned-law-de-to-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2307
- Bleu: 58.4579

## 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: 40
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2