You can deploy this model and start earning money today!

asimokby/
nllb-finetuned-de-en

Name: nllb-finetuned-de-en
Rating: 2.5 (7 reviews)

generated_from_trainer

facebook/nllb-200-distilled-600M

finetune

cc-by-nc-4.0

endpoints_compatible

Views

No views yet

nllb-finetuned-de-en

This model is a fine-tuned version of 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

asimokby/nllb-finetuned-de-en

nllb-finetuned-de-en

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

asimokby/
nllb-finetuned-de-en