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---
license: apache-2.0
base_model: dokyoungkim/wmt19-finetuned-it-de-to-en
tags:
- tanslation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: wmt19-finetuned-it-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-it-de-to-en-2
This model is a fine-tuned version of [dokyoungkim/wmt19-finetuned-it-de-to-en](https://huggingface.co./dokyoungkim/wmt19-finetuned-it-de-to-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1271
- Bleu: 46.8781
## 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: 160
- 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
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