Edit model card

marian-finetuned-kde4-en-to-zh

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: 0.9353
  • Bleu: 38.8247

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: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
Downloads last month
12
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for peteryushunli/marian-finetuned-kde4-en-to-zh

Finetuned
(24)
this model

Dataset used to train peteryushunli/marian-finetuned-kde4-en-to-zh

Evaluation results