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: 1.6967
- eval_bleu: 39.2747
- eval_runtime: 1030.7421
- eval_samples_per_second: 20.391
- eval_steps_per_second: 0.319
- step: 0
Model description
More information needed
Intended uses & limitations
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. Domain adaptation may come up due to the former generalized training that was done.
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for Skier8402/marian-finetuned-kde4-en-to-fr
Base model
Helsinki-NLP/opus-mt-en-fr