opus-mt-en-fr-finetuned-kde4-en-to-fr

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the kde4 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4887
  • Bleu: 48.0997

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.1+cpu
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
26
Safetensors
Model size
74.7M params
Tensor type
F32
·
Inference Examples
Unable to determine this model's library. Check the docs .

Model tree for scmis011/opus-mt-en-fr-finetuned-kde4-en-to-fr

Finetuned
(330)
this model

Dataset used to train scmis011/opus-mt-en-fr-finetuned-kde4-en-to-fr

Evaluation results