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nllb-600-norm-iwslt26 – AI Model by jorirsan | AlphaNeural AI
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jorirsan
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nllb-600-norm-iwslt26
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peft
safetensors
adapter
lora
transformers
facebook/nllb-200-distilled-600M
cc-by-nc-4.0
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nllb-600-norm-iwslt26
This model is a fine-tuned version of
facebook/nllb-200-distilled-600M
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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_BNB 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: 3
Training results
Framework versions
PEFT 0.18.1
Transformers 4.51.0
Pytorch 2.8.0+cu128
Datasets 4.5.0
Tokenizers 0.21.4
