Translation
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-de on a Keyurjotaniya007/en-de-text-translation dataset. It achieves the following results on the evaluation set:
• Eval loss: 0.11771681159734726
• Eval bleu: 35.90809133471939
Training hyperparameters
The following hyperparameters were used during training:
• learning_rate: 1e-6
• train_batch_size: 32
• eval_batch_size: 32
• gradient_accumulation_steps=2
• seed: 42
• weight_decay=0.01
• lr_scheduler_type: linear
• warmup_ratio=0.1
• num_epochs: 1
• predict_with_generate: True
• fp16: True
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Model tree for Keyurjotaniya007/helsinki-en-de-opus-translation
Base model
Helsinki-NLP/opus-mt-en-zh