---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# marian-finetuned-kde4-en-to-fr

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/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