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metadata
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: Helsinki-NLPopus-mt-tc-big-en-moroccain_dialect
    results: []
pipeline_tag: translation

Helsinki-NLPopus-mt-tc-big-en-moroccain_dialect

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6930
  • Bleu: 50.0607
  • Gen Len: 14.7048

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-07
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 4000
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.617 1.0 1931 0.6930 50.0607 14.7048

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3