finetuned_nllb

This model is a fine-tuned version of pi-de-pie/finetuned-nllb on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0547
• Bleu: 57.7832
• Chrf: 74.9957
• Ter: 19.6525

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Chrf	Ter
0.0577	1.0	7893	0.0547	57.7832	74.9957	19.6525

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0