marian-finetuned-kde4-it-to-en

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

• Loss: 2.4971
• Model Preparation Time: 0.0014
• Bleu: 33.5531

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 4.45.0.dev0
• Pytorch 2.4.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1