marian-finetuned-kde4-en-to-es
| Property | Value |
|---|---|
| Base Model | Helsinki-NLP/opus-mt-en-fr |
| BLEU Score | 10.2817 |
| Training Dataset | KDE4 |
| Author | abh1na5 |
What is marian-finetuned-kde4-en-to-es?
This is a specialized machine translation model fine-tuned for English to Spanish translation, built upon the Helsinki-NLP's opus-mt-en-fr architecture. The model has been specifically optimized using the KDE4 dataset, making it particularly suitable for technical and software-related translations.
Implementation Details
The model was trained using PyTorch 2.1.2 and Transformers 4.38.2, implementing native AMP (Automatic Mixed Precision) training. The training process utilized the Adam optimizer with carefully tuned hyperparameters (β1=0.9, β2=0.999, ε=1e-08) and a linear learning rate scheduler.
- Learning rate: 2e-05
- Training batch size: 64
- Evaluation batch size: 128
- Training epochs: 3
Core Capabilities
- English to Spanish translation optimization
- Evaluation performance: 10.2817 BLEU score
- Efficient processing with 12.266 samples per second during evaluation
- Specialized for KDE4 dataset domain
Frequently Asked Questions
Q: What makes this model unique?
This model specializes in English to Spanish translation, particularly fine-tuned on the KDE4 dataset, making it especially suitable for software and technical documentation translation tasks. Its optimization process focused on achieving better performance in this specific domain.
Q: What are the recommended use cases?
The model is best suited for translating technical documentation, software interfaces, and KDE4-related content from English to Spanish. Its specialized training makes it particularly effective for technical and software-related translations.
