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llama-2-7B-factory-MetaMathQA-Muon-stage2 – AI Model by loafeihong | AlphaNeural AI
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llama-2-7B-factory-MetaMathQA-Muon-stage2
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transformers
safetensors
llama
text-generation
llama-factory
full
generated_from_trainer
conversational
meta-llama/Llama-2-7b-chat-hf
finetune
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text-generation-inference
endpoints_compatible
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sft_muon_stage2_metamath
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-hf
on the metamath 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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 2.0
Training results
Framework versions
Transformers 4.55.0
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.21.1
