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nllb-finetuned-rlEVAL – AI Model by PriyaMishra | AlphaNeural AI
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nllb-finetuned-rlEVAL
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peft
safetensors
generated_from_trainer
facebook/nllb-200-distilled-1.3B
adapter
cc-by-nc-4.0
us
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nllb-finetuned-rlEVAL
This model is a fine-tuned version of
facebook/nllb-200-distilled-1.3B
on the None dataset.
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use 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
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
