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qwen3_4b_rewot_low_solution_count – AI Model by Shuibai12138 | AlphaNeural AI
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qwen3_4b_rewot_low_solution_count
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen3-4B
adapter
apache-2.0
us
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qwen3_4b_rewot_low_solution_count
This model is a fine-tuned version of
Qwen/Qwen3-4B
on the low_solution_count_data 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: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 8
total_eval_batch_size: 32
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: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5.0
Training results
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1
