PaulineSanchez/translation_for_recipes_fr_en

train_hf_new_fren_batch_12_epoch_4

This model is a fine-tuned version of Helsinki-NLP/opus-mt-fr-en on the PaulineSanchez/recipes_translation_400 dataset. It achieves the following results on the evaluation set:

• Loss: 0.7762
• Bleu: 59.7829
• Gen Len: 29.475

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: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4.0

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	27	0.8249	57.2256	29.225
No log	2.0	54	0.7964	58.125	28.95
No log	3.0	81	0.7786	59.3353	29.35
No log	4.0	108	0.7762	59.7829	29.475

Framework versions

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