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pep-extraction-llama-3.2-1b – AI Model by Dali309 | AlphaNeural AI
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Dali309
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pep-extraction-llama-3.2-1b
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peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Llama-3.2-1B-Instruct
adapter
llama3.2
us
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pep-extraction-llama-3.2-1b
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
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: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use adamw_torch 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: 0.1
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
