| | --- |
| | library_name: transformers |
| | license: other |
| | base_model: LLM4Binary/llm4decompile-6.7b-v1.5 |
| | tags: |
| | - llama-factory |
| | - full |
| | - generated_from_trainer |
| | model-index: |
| | - name: llm4decompile-6.7b-v1.6 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # llm4decompile-6.7b-v1.6 |
| |
|
| | This model is a fine-tuned version of [/data/user/models/llm4decompile-6.7b-v1.5](https://huggingface.co//data/user/models/llm4decompile-6.7b-v1.5) on the llm4binary_v1.6 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: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 7 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 1792 |
| | - total_eval_batch_size: 56 |
| | - 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_ratio: 0.025 |
| | - num_epochs: 1.0 |
| |
|
| | ### Training results |
| |
|
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.52.4 |
| | - Pytorch 2.7.0+cu126 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
| |
|
