metadata

license: apache-2.0
tags:
  - translation
  - generated_from_trainer
datasets:
  - kde4
base_model: Helsinki-NLP/opus-mt-en-ar
model-index:
  - name: marian-finetuned-kde4-en-to-ar
    results: []

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