README.md

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