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domain_name_generator-2025-02-23-LLAMA_32_3B_instruct – AI Model by JustinasLasinskas | AlphaNeural AI
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JustinasLasinskas
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domain_name_generator-2025-02-23-LLAMA_32_3B_instruct
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.2-3B-Instruct
adapter
llama3.2
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domain_name_generator-2025-02-23-LLAMA_32_3B_instruct
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B-Instruct
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: 0.0001
train_batch_size: 2
eval_batch_size: 1
seed: 42
optimizer: Use OptimizerNames.PAGED_ADAMW 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: 3
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.6.0+cu118
Datasets 3.3.0
Tokenizers 0.21.0
