metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-zh
tags:
- translation
- generated_from_trainer
datasets:
- kde4
metrics:
- bleu
model-index:
- name: marian-finetuned-kde4-en-to-zh-tw
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: kde4
type: kde4
config: en-zh_TW
split: train
args: en-zh_TW
metrics:
- name: Bleu
type: bleu
value: 40.065781493415884
marian-finetuned-kde4-en-to-zh-tw
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-zh on the kde4 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9680
- Bleu: 40.0658
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.42.4
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.19.1