README.md

metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-roa
tags:
  - generated_from_trainer
model-index:
  - name: multilingual-MT_FR-ES-IT-PT-RO_CAS-NLP
    results: []

multilingual-MT_FR-ES-IT-PT-RO_CAS-NLP

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-roa on the None 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: 0.001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1