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Qwen2-Math-1.5B-MetaMathQA – AI Model by Lorry0727 | AlphaNeural AI
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Lorry0727
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Qwen2-Math-1.5B-MetaMathQA
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transformers
tensorboard
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2-Math-1.5B
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
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sft_lr_1e-6_bs_128
This model is a fine-tuned version of
Qwen/Qwen2-Math-1.5B
on the
meta-math/MetaMathQA
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: 5e-06
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 32
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: 1.0
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1
