mbart-large-50-many-to-many-mmt

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.3912
• Bleu: 12.0674

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• 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

Training Loss	Epoch	Step	Validation Loss	Bleu
2.1894	0.8	1000	2.3682	10.7429
1.7455	1.6	2000	2.3495	12.2553
1.3893	2.4	3000	2.3956	11.2554

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0