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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Dataset used to train Keyurjotaniya007/helsinki-en-de-opus-translation