nllb-200-tiny-tuned-v2

This model is a fine-tuned version of igorktech/nllb-200-tiny-tuned on the your_dataset_name dataset. It achieves the following results on the evaluation set:

• Loss: 0.0723
• Bleu: 59.8626
• Chrf++: 77.5470

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Chrf++
0.1055	0.6563	5000	0.0879	54.7679	74.4878
0.1145	1.3125	10000	0.0792	57.9832	76.3679
0.0716	1.9688	15000	0.0723	59.8626	77.5470

Framework versions

• Transformers 4.42.3
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1