README.md

metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ar-en
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: darija-latin-to-english-new
    results: []

darija-latin-to-english-new

This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0525
• Bleu: 29.8636
• Gen Len: 8.8467

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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.0219	5.0	1400	0.0525	29.8636	8.8467

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.2