igala-model-EtuhE

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-mul on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.4215
• Bleu: 11.6659
• Chrf: 46.6955

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
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Chrf
3.0537	1.0	113	2.5994	13.7789	47.0317
2.2081	2.0	226	2.3182	16.9857	47.9976
1.9068	3.0	339	2.1943	13.1883	48.6903
1.4002	4.0	452	2.1886	13.0707	46.4789
1.3395	5.0	565	2.1805	14.6239	47.7008
1.3799	6.0	678	2.1673	15.0548	48.3228
1.1872	7.0	791	2.1802	15.5940	48.4844
1.2332	8.0	904	2.1887	15.6937	48.5543

Framework versions

• Transformers 5.18.0
• Pytorch 2.11.0+cu130
• Datasets 4.8.5
• Tokenizers 0.23.2