transformers tensorboard safetensors marian text2text-generation translation generated_from_trainer dataset:kde4 base_model:shinjc/marian-finetuned-kde4-en-to-fr base_model:finetune:shinjc/marian-finetuned-kde4-en-to-fr autotrain_compatible endpoints_compatible region:us
---
base_model: shinjc/marian-finetuned-kde4-en-to-fr
datasets:
- kde4
library_name: transformers
tags:
- translation
- generated_from_trainer
model-index:
- name: marian-finetuned-kde4-en-to-fr
  results: []
---

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# marian-finetuned-kde4-en-to-fr

This model is a fine-tuned version of [shinjc/marian-finetuned-kde4-en-to-fr](https://huggingface.co/shinjc/marian-finetuned-kde4-en-to-fr) on the kde4 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.8554
- eval_model_preparation_time: 0.0035
- eval_bleu: 52.1109
- eval_runtime: 490.7873
- eval_samples_per_second: 42.825
- eval_steps_per_second: 0.67
- 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: 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: 3
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
