sattu-finetuned-kde4-en-to-jap
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-jap on the kde4 dataset. It achieves the following results on the evaluation set:
- Loss: 1.4199
- Model Preparation Time: 0.0018
- Bleu: 20.7275
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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
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Model tree for iSathyam03/sattu-finetuned-kde4-en-to-jap
Base model
Helsinki-NLP/opus-mt-en-jap