Tounsify-v0.3

This model is a fine-tuned version of marefa-nlp/marefa-mt-en-ar on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.7357
• Bleu: 14.3631
• Gen Len: 7.5667

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	8	3.9993	8.8788	9.4
No log	2.0	16	3.7357	14.3631	7.5667

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1