metadata
license: apache-2.0
base_model: dokyoungkim/wmt19-finetuned-it-de-to-en-2
tags:
- tanslation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: wmt19-finetuned-it-de-to-en-3
results: []
wmt19-finetuned-it-de-to-en-3
This model is a fine-tuned version of dokyoungkim/wmt19-finetuned-it-de-to-en-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1299
- Bleu: 47.4497
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