nllb-fra-shr-mt-v1

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

• eval_loss: 0.3453
• eval_runtime: 103.4424
• eval_samples_per_second: 33.758
• eval_steps_per_second: 8.439
• epoch: 1.0183
• step: 8000

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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1