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template-adapter-meta-llama-Llama-3.1-8B-gsm8k-10 – AI Model by ASethi04 | AlphaNeural AI
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ASethi04
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template-adapter-meta-llama-Llama-3.1-8B-gsm8k-10
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.1-8B
adapter
llama3.1
us
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template-adapter-meta-llama-Llama-3.1-8B-gsm8k-10
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B
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: 0.0004
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 5
Training results
Framework versions
PEFT 0.15.1
Transformers 4.51.2
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
