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pid_test – AI Model by pawanpiovation | AlphaNeural AI
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pid_test
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peft
safetensors
llama-factory
lora
generated_from_trainer
NousResearch/Llama-3.2-1B
adapter
other
us
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test-run
This model is a fine-tuned version of
NousResearch/Llama-3.2-1B
on the alpaca_en_demo 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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
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: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
Training results
Framework versions
PEFT 0.15.2
Transformers 4.55.4
Pytorch 2.9.0.dev20250811+rocm6.4
Datasets 3.6.0
Tokenizers 0.21.1
