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GJATT/
2stageDEC16-nllb-1-sentence-punjabi

Name: 2stageDEC16-nllb-1-sentence-punjabi
Availability: InStock

generated_from_trainer

facebook/nllb-200-distilled-600M

finetune

cc-by-nc-4.0

endpoints_compatible

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2stageDEC16-nllb-1-sentence-punjabi

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: 0.0432

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: 0.0001
train_batch_size: 16
eval_batch_size: 8
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: 100
num_epochs: 13
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.2795	1.0	124	1.6282
1.6555	2.0	248	0.9486
1.0787	3.0	372	0.5634
0.6866	4.0	496	0.3309
0.5549	5.0	620	0.2022
0.3568	6.0	744	0.1275
0.2656	7.0	868	0.0919
0.19	8.0	992	0.0672
0.1413	9.0	1116	0.0591
0.1195	10.0	1240	0.0549
0.1133	11.0	1364	0.0484
0.071	12.0	1488	0.0451
0.0792	13.0	1612	0.0432

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1

GJATT/2stageDEC16-nllb-1-sentence-punjabi

2stageDEC16-nllb-1-sentence-punjabi

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

GJATT/
2stageDEC16-nllb-1-sentence-punjabi