opus-mt-ca-en-ft-kde4-mt-ca-en

This model is a fine-tuned version of Helsinki-NLP/opus-mt-ca-en on the kde4 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5999
• Model Preparation Time: 0.0033
• Bleu: 67.6779

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: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1