marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4839
- Model Preparation Time: 0.003
- Bleu: 43.1379
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: 16
- eval_batch_size: 32
- 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
- training_steps: 100
Training results
Framework versions
- Transformers 5.2.0
- Pytorch 2.9.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
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Model tree for Lyken35/lab1_finetuning
Base model
Helsinki-NLP/opus-mt-en-fr