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--- |
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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: 1.6967 |
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- eval_bleu: 39.2747 |
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- eval_runtime: 1030.7421 |
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- eval_samples_per_second: 20.391 |
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- eval_steps_per_second: 0.319 |
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- step: 0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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Mostly usable for substituting the language in KDE apps. They are a couple of computer science terms that the model with attempt to translate or not. |
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Domain adaptation may come up due to the former generalized training that was done. |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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 4.38.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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