---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
model-index:
- name: nllb-finetuned-de-en
  results: []
---

<!-- 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-finetuned-de-en

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5475

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 486  | 1.1181          |
| 1.3516        | 2.0   | 972  | 0.9976          |
| 1.0459        | 3.0   | 1458 | 0.9073          |
| 0.9073        | 4.0   | 1944 | 0.8393          |
| 0.7901        | 5.0   | 2430 | 0.7772          |
| 0.7072        | 6.0   | 2916 | 0.7292          |
| 0.6262        | 7.0   | 3402 | 0.6872          |
| 0.5713        | 8.0   | 3888 | 0.6532          |
| 0.5185        | 9.0   | 4374 | 0.6228          |
| 0.48          | 10.0  | 4860 | 0.5997          |
| 0.4424        | 11.0  | 5346 | 0.5795          |
| 0.4242        | 12.0  | 5832 | 0.5646          |
| 0.4049        | 13.0  | 6318 | 0.5558          |
| 0.3822        | 14.0  | 6804 | 0.5492          |
| 0.3792        | 15.0  | 7290 | 0.5475          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Tokenizers 0.19.1