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metadata
library_name: transformers
license: apache-2.0
base_model: huggingface-course/marian-finetuned-kde4-en-to-fr
tags:
  - translation
  - generated_from_trainer
datasets:
  - kde4
metrics:
  - bleu
model-index:
  - name: marian-finetuned-kde4-en-to-fr
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: kde4
          type: kde4
          config: en-fr
          split: train
          args: en-fr
        metrics:
          - name: Bleu
            type: bleu
            value: 52.74848000173208

marian-finetuned-kde4-en-to-fr

This model is a fine-tuned version of huggingface-course/marian-finetuned-kde4-en-to-fr on the kde4 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7036
  • Model Preparation Time: 0.0037
  • Bleu: 52.7485

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: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3