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llama3.2-qlora-sentiment – AI Model by Tushar1K | AlphaNeural AI
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Tushar1K
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llama3.2-qlora-sentiment
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peft
safetensors
adapter
lora
transformers
meta-llama/Llama-3.2-1B
llama3.2
us
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llama3.2-qlora-sentiment
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.0
Transformers 4.57.5
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
