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llama3-8b-instruct-final-less-lora-everything – AI Model by safesign | AlphaNeural AI
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llama3-8b-instruct-final-less-lora-everything
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meta-llama/Meta-Llama-3-8B-Instruct
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llama3
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llama3-8b-instruct-final-less-lora-everything
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B-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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 0
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
training_steps: 6
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.17.0
Tokenizers 0.15.2
