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nllb-200-distilled-600M_dyu-fr

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m2m_100
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metadata
base_model: facebook/nllb-200-distilled-600M
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: nllb-200-distilled-600M_dyu-fr
    results: []

Visualize in Weights & Biases

nllb-200-distilled-600M_dyu-fr

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.1702
  • Bleu: 7.5487
  • Gen Len: 12.639

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 253 2.2080 7.1224 12.484
2.5581 2.0 506 2.1702 7.5487 12.639

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1