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train_hf_batch_8_epoch_8

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the PaulineSanchez/recipes_translation_2 dataset. It achieves the following results on the evaluation set:

• Loss: 0.6032
• Bleu: 61.6124
• Gen Len: 34.06

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8.0

Training results

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3