marian-finetuned-kde4-en-to-ar

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on the kde4 dataset.

Model description

if you want to learn about the model used check Helsinki-NLP Model

Intended uses & limitations

Training and evaluation data

More information needed

Training procedure

the training was done on google colab.

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
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.20.0
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1