KMayanja/nllb-600M-medical-luganda-bidirectional

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nllb-600M-medical-luganda-bidirectional

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.5663
• —Bleu: 6.6618
• —Chrf: 22.9805

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: 3e-05
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 32
• —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100
• —num_epochs: 12

Training results

Framework versions

• —PEFT 0.17.1
• —Transformers 4.56.2
• —Pytorch 2.8.0
• —Datasets 4.1.1
• —Tokenizers 0.22.1