Training complete
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: Helsinki-NLP/opus-mt-en-fr
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tags:
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- translation
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- generated_from_trainer
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datasets:
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- kde4
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metrics:
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- bleu
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model-index:
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- name: marian-finetuned-kde4-en-to-fr
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: kde4
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type: kde4
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config: en-fr
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split: train
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args: en-fr
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metrics:
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- name: Bleu
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type: bleu
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value: 52.9752596085589
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# marian-finetuned-kde4-en-to-fr
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the kde4 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8550
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- Model Preparation Time: 0.0012
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- Bleu: 52.9753
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.9.0+cu128
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- Datasets 3.6.0
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- Tokenizers 0.22.1
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