metadata
library_name: peft
license: apache-2.0
base_model: unsloth/qwen2.5-coder-7b-bnb-4bit
tags:
- base_model:adapter:unsloth/qwen2.5-coder-7b-bnb-4bit
- lora
- transformers
- unsloth
pipeline_tag: text-generation
model-index:
- name: qwen-mcoder
results: []
qwen-mcoder
This model is a fine-tuned version of unsloth/qwen2.5-coder-7b-bnb-4bit 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 11
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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_ratio: 0.1
- training_steps: 2000
Training results
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1