nllb-wo-fr / README.md
Pis-py's picture
/content/nllb-wo-fr/checkpoint-26500
1413d65 verified
metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
  - generated_from_trainer
model-index:
  - name: nllb-wo-fr
    results: []

nllb-wo-fr

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset.

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: 2e-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: 5
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.55.4
  • Pytorch 2.8.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.21.4