Qwen_Math_high_1.5B
This model is a fine-tuned version of Qwen/Qwen2.5-1.5B on the high_Qwen2_5_Math_1_5B_llh 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: 1.25e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 2
- total_eval_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
- num_epochs: 5
Training results
Framework versions
- Transformers 4.56.2
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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Model tree for trackld/Math12K_high_1.5B_lr1.25e-6_bs1_gas_1_2GPU
Base model
Qwen/Qwen2.5-1.5B