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revised-llamafactory-llama-3-8b – AI Model by fay-ong | AlphaNeural AI
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fay-ong
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revised-llamafactory-llama-3-8b
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peft
tensorboard
safetensors
llama-factory
lora
unsloth
generated_from_trainer
unsloth/llama-3-8b-Instruct-bnb-4bit
adapter
llama3
us
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revised-llamafactory-llama-3-8b
This model is a fine-tuned version of
unsloth/llama-3-8b-Instruct-bnb-4bit
on the formatted_data 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.11.1
Transformers 4.43.3
Pytorch 2.2.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
