| --- |
| library_name: transformers |
| license: other |
| tags: |
| - llama-factory |
| - full |
| - generated_from_trainer |
| model-index: |
| - name: output_1 |
| 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. --> |
|
|
| # output_1 |
| |
| This model is a fine-tuned version of [/data2/wuxinrui/RoboBrain2.0/HF_Models/BAAI-RoboBrain2.0-7B_budgetthinker_3ratio](https://huggingface.co//data2/wuxinrui/RoboBrain2.0/HF_Models/BAAI-RoboBrain2.0-7B_budgetthinker_3ratio) on the region_ref_max_points_10_absxy_int_2k_cot_processed_shorten_shorten2_budgetthinker_3ratio_mllm, the region_ref_max_points_10_absxy_int_2k_cot_processed_shorten_budgetthinker_3ratio_mllm, the region_ref_max_points_10_absxy_int_2k_cot_processed_budgetthinker_3ratio_mllm, the sharerobot_trajectory_2k_cot_processed_shorten_shorten2_budgetthinker_3ratio_mllm, the sharerobot_trajectory_2k_cot_processed_shorten_budgetthinker_3ratio_mllm, the sharerobot_trajectory_2k_cot_processed_budgetthinker_3ratio_mllm, the AGD_affordance_train_common_1336_shorten_shorten2_budgetthinker_3ratio_mllm, the AGD_affordance_train_common_1336_shorten_budgetthinker_3ratio_mllm, the AGD_affordance_train_common_1336_budgetthinker_3ratio_mllm, the osd_choice_qa_absolute_position_2k_cot_processed_shorten_shorten2_budgetthinker_3ratio_mllm, the osd_choice_qa_absolute_position_2k_cot_processed_shorten_budgetthinker_3ratio_mllm, the osd_choice_qa_absolute_position_2k_cot_processed_budgetthinker_3ratio_mllm, the osd_reasoning_qa_2k_cot_processed_shorten_shorten2_budgetthinker_3ratio_mllm, the osd_reasoning_qa_2k_cot_processed_shorten_budgetthinker_3ratio_mllm and the osd_reasoning_qa_2k_cot_processed_budgetthinker_3ratio_mllm 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: 1e-06 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 6 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 12 |
| - total_eval_batch_size: 48 |
| - 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: 0.1 |
| - num_epochs: 2.0 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.51.3 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
| |
