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vaibhav19341/DLA3-de-en-finetune-v2

This model is a fine-tuned version of Helsinki-NLP/opus-mt-ROMANCE-en on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 6.5035
• Validation Loss: 9.4804
• Epoch: 2

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:

• optimizer: {'name': 'RMSprop', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': 100, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
• training_precision: float32

Training results

Framework versions

• Transformers 4.28.1
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.3