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llama-3.2-3b-qlora-alpaca_r64 – AI Model by ParamDev | AlphaNeural AI
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ParamDev
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llama-3.2-3b-qlora-alpaca_r64
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peft
safetensors
adapter
lora
transformers
text-generation
meta-llama/Llama-3.2-3B
llama3.2
us
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llama-3.2-3b-qlora-alpaca_r64
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0566
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: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.0570
1.0
1463
0.0559
0.0503
2.0
2926
0.0566
Framework versions
PEFT 0.19.1
Transformers 5.8.1
Pytorch 2.12.0+cu130
Datasets 4.8.5
Tokenizers 0.22.2
