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: 1.6967
eval_bleu: 39.2747
eval_runtime: 1030.7421
eval_samples_per_second: 20.391
eval_steps_per_second: 0.319
step: 0

Model description

More information needed

Intended uses & limitations

Mostly usable for substituting the language in KDE apps. They are a couple of computer science terms that the model with attempt to translate or not. Domain adaptation may come up due to the former generalized training that was done.

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

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0