---
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