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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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model-index:
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- name: marian-finetuned-kde4-en-to-fr
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results: []
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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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- eval_loss: 0.9456
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- eval_model_preparation_time: 0.0031
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- eval_bleu: 51.2104
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- eval_runtime: 11.5175
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- eval_samples_per_second: 17.365
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- eval_steps_per_second: 0.347
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- epoch: 3.0
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- step: 17736
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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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### Framework versions
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- Transformers 5.5.4
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.4
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- Tokenizers 0.22.2
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