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nllb-shahmukhi-test – AI Model by syedaafatima145 | AlphaNeural AI
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nllb-shahmukhi-test
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transformers
safetensors
m2m_100
text2text-generation
generated_from_trainer
facebook/nllb-200-distilled-600M
finetune
cc-by-nc-4.0
endpoints_compatible
us
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nllb-shahmukhi-test
This model is a fine-tuned version of
facebook/nllb-200-distilled-600M
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1264
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.8092
1.0
500
1.2672
1.265
2.0
1000
1.1526
1.1374
3.0
1500
1.1264
Framework versions
Transformers 4.48.0
Pytorch 2.10.0+cu128
Datasets 3.2.0
Tokenizers 0.21.4
