metadata

language:
  - fr
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - PaulineSanchez/recipes_translation_400
metrics:
  - bleu
model-index:
  - name: train_hf_new_fren_batch_12_epoch_4
    results:
      - task:
          name: Translation
          type: translation
        dataset:
          name: PaulineSanchez/recipes_translation_400
          type: PaulineSanchez/recipes_translation_400
          split: validation
        metrics:
          - name: Bleu
            type: bleu
            value: 59.7829

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