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OpenR1-Math-Raw-all-correct-5k – Dataset by neginr | AlphaNeural AI
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OpenR1-Math-Raw-all-correct-5k
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the neginr/OpenR1-Math-Raw-all-correct-5k 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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 32
gradient_accumulation_steps: 3
total_train_batch_size: 96
total_eval_batch_size: 256
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 7.0
Training results
Framework versions
Transformers 4.46.1
Pytorch 2.5.1
Datasets 3.0.2
Tokenizers 0.20.3
