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
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