opus-mt-tc-big-en-tr-finetuned-en-to-tr

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-tr on the wmt16 dataset. It achieves the following results on the evaluation set:

• Loss: 1.6132
• Bleu: 19.8042
• Gen Len: 23.0739

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.9813	1.0	12860	1.6132	19.8042	23.0739

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3