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MetaMathQA_Meta-Llama-3.1-8B-BNB-NF4_LORA_ADAPTER_64rank – AI Model by oftverse | AlphaNeural AI
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MetaMathQA_Meta-Llama-3.1-8B-BNB-NF4_LORA_ADAPTER_64rank
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.1-8B
adapter
llama3.1
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MetaMathQA_Meta-Llama-3.1-8B-BNB-NF4_LORA_ADAPTER_64rank
This model is a fine-tuned version of
meta-llama/Meta-Llama-3.1-8B
on an unknown 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
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 3.0
Training results
Framework versions
PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.4.0+cu121
Datasets 3.2.0
Tokenizers 0.20.3
