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adapter-unsloth-llama-3-8b-py-coder – AI Model by samaigod | AlphaNeural AI
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adapter-unsloth-llama-3-8b-py-coder
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peft
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unsloth
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unsloth/llama-3-8b-bnb-4bit
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llama2
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adapter-unsloth-llama-3-8b-py-coder
This model is a fine-tuned version of
unsloth/llama-3-8b-bnb-4bit
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.01
lr_scheduler_warmup_steps: 10
training_steps: 1500
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.1.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
