marian-finetuned-kde4-en-to-fr

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

• eval_loss: 0.9456
• eval_model_preparation_time: 0.0031
• eval_bleu: 51.2104
• eval_runtime: 11.5175
• eval_samples_per_second: 17.365
• eval_steps_per_second: 0.347
• epoch: 3.0
• step: 17736

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Framework versions

• Transformers 5.5.4
• Pytorch 2.10.0+cu128
• Datasets 4.8.4
• Tokenizers 0.22.2