metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-Coder-7B
tags:
- base_model:adapter:Qwen/Qwen2.5-Coder-7B
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: peft-FT-2.5-Coder-7b
results: []
peft-FT-2.5-Coder-7b
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-7B on an unknown 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 30
- training_steps: 1
Training results
Framework versions
- PEFT 0.17.1
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0