nllb-sna-en-mt-v1

This model is a fine-tuned version of SalomonMetre13/nllb-sna-en-mt-v1 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.1462
• eval_runtime: 185.4131
• eval_samples_per_second: 33.477
• eval_steps_per_second: 8.37
• epoch: 0.7877
• step: 11000

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: 4
• eval_batch_size: 4
• 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
• lr_scheduler_warmup_steps: 200
• num_epochs: 1
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1