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nllb-3.3b-salt-lr2e-4-audersity – AI Model by kitaka | AlphaNeural AI
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kitaka
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nllb-3.3b-salt-lr2e-4-audersity
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transformers
tensorboard
safetensors
m2m_100
text-generation
generated_from_trainer
jq/nllb-3.3b-salt-lr2e-4-fp16
finetune
autotrain_compatible
endpoints_compatible
us
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nllb-3.3b-salt-lr2e-4-audersity
This model is a fine-tuned version of
jq/nllb-3.3b-salt-lr2e-4-fp16
on an unknown 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: 10
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 300
total_train_batch_size: 3000
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 3
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
