metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-fr
tags:
  - translation
  - generated_from_trainer
datasets:
  - kde4
model-index:
  - name: marian-finetuned-kde4-en-to-fr
    results: []

marian-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:

eval_loss: 1.6964
eval_bleu: 39.1660
eval_runtime: 1579.5551
eval_samples_per_second: 13.306
eval_steps_per_second: 0.208
step: 0

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

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3