---
library_name: transformers
base_model: SalomonMetre13/nllb-nde-fra-mt-v1
tags:
- generated_from_trainer
model-index:
- name: nllb-nde-fra-mt-v1
  results: []
pipeline_tag: translation
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# nllb-nde-fra-mt-v1

This model is a fine-tuned version of [SalomonMetre13/nllb-nde-fra-mt-v1](https://huggingface.co/SalomonMetre13/nllb-nde-fra-mt-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2109
- eval_runtime: 168.8043
- eval_samples_per_second: 32.659
- eval_steps_per_second: 8.169
- epoch: 0.2418
- step: 3000

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 1
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1