| library_name: transformers | |
| license: other | |
| base_model: Qwen/Qwen3-8B-Base | |
| tags: | |
| - llama-factory | |
| - full | |
| - generated_from_trainer | |
| model-index: | |
| - name: 500M | |
| 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. --> | |
| # 500M | |
| This model is a fine-tuned version of [/lus/flare/projects/MultiModalLLM/model-weights/Qwen/Qwen3-8B-Base](https://huggingface.co//lus/flare/projects/MultiModalLLM/model-weights/Qwen/Qwen3-8B-Base) on the rv5_g2_2_oldcode_synthcm_newcode and the instruct_replay datasets. | |
| ## 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: 2e-05 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 12 | |
| - total_train_batch_size: 12 | |
| - total_eval_batch_size: 96 | |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: warmup_stable_decay | |
| - lr_scheduler_warmup_steps: 178 | |
| - training_steps: 5597 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.57.6 | |
| - Pytorch 2.10.0a0+git449b176 | |
| - Datasets 4.5.0 | |
| - Tokenizers 0.22.2 | |