mbart-large-50-many-to-many-mmt-finetuned-ar_AR-to-en_XX-finetuned-ar_AR-to-en_XX

This model is a fine-tuned version of Shamus/mbart-large-50-many-to-many-mmt-finetuned-ar_AR-to-en_XX on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1972
• Bleu: 30.3169
• Gen Len: 34.536

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.122	1.0	2759	1.1972	30.3169	34.536

Framework versions

• Transformers 4.21.2
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1