metadata
library_name: peft
license: other
base_model: unsloth/Qwen3-4B
tags:
- base_model:adapter:unsloth/Qwen3-4B
- llama-factory
- lora
- transformers
- unsloth
pipeline_tag: text-generation
model-index:
- name: CodeRM-SFT-Warmup-Selection-4B-LlamaFactory
results: []
CodeRM-SFT-Warmup-Selection-4B-LlamaFactory
This model is a fine-tuned version of Qwen/Qwen3-4B on the sft_warmup_selection_combined 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 12
- 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_steps: 20
- num_epochs: 1.0
Training results
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.7.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2