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Qwen2.5-7B-Instruct_mathqa – AI Model by jahyungu | AlphaNeural AI
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jahyungu
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Qwen2.5-7B-Instruct_mathqa
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transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
math_qa
Qwen/Qwen2.5-7B-Instruct
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Qwen2.5-7B-Instruct_mathqa
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the math_qa 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-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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: 0.03
num_epochs: 2
Training results
Framework versions
Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.0
