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Billyyy/
mn_nllb_1.3B_continue

Name: mn_nllb_1.3B_continue
Availability: InStock

peft

safetensors

generated_from_trainer

facebook/nllb-200-distilled-1.3B

adapter

cc-by-nc-4.0

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mn_nllb_1.3B_continue

This model is a fine-tuned version of facebook/nllb-200-distilled-1.3B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 7.1680

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: 5e-05
train_batch_size: 40
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 160
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
7.0421	0.32	20	7.1684
7.0297	0.64	40	7.1668
7.0254	0.96	60	7.1666
7.0207	1.272	80	7.1669
7.0429	1.592	100	7.1672
7.0276	1.912	120	7.1675
7.0199	2.224	140	7.1675
7.0254	2.544	160	7.1678
7.0379	2.864	180	7.1678
7.0454	3.176	200	7.1680
7.0415	3.496	220	7.1680
7.0466	3.816	240	7.1680

Framework versions

PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0

Billyyy/mn_nllb_1.3B_continue

mn_nllb_1.3B_continue

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Billyyy/
mn_nllb_1.3B_continue