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asimokby/nllb-finetuned-de-en
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---
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