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deep_test – AI Model by TammerKamel | AlphaNeural AI
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deep_test
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peft
safetensors
llama-factory
lora
generated_from_trainer
meta-llama/Llama-3.1-70B-Instruct
adapter
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llama3_lora
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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: 3.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.12.0
Transformers 4.46.1
Pytorch 2.3.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
