|
|
--- |
|
|
library_name: transformers |
|
|
license: other |
|
|
base_model: /data2/wuxinrui/RoboBrain2.0/HF_Models/BAAI-RoboBrain2.0-7B |
|
|
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](https://huggingface.co//data2/wuxinrui/RoboBrain2.0/HF_Models/BAAI-RoboBrain2.0-7B) on the COT_1_shorten_shorten2_budgetthinker_abalation_mllm, the COT_1_shorten_budgetthinker_abalation_mllm, the COT_1_budgetthinker_abalation_mllm, the COT_2_shorten_shorten2_budgetthinker_abalation_mllm, the COT_2_shorten_budgetthinker_abalation_mllm, the COT_2_budgetthinker_abalation_mllm, the COT_3_shorten_shorten2_budgetthinker_abalation_mllm, the COT_3_shorten_budgetthinker_abalation_mllm, the COT_3_budgetthinker_abalation_mllm, the COT_4_shorten_shorten2_budgetthinker_abalation_mllm, the COT_4_shorten_budgetthinker_abalation_mllm, the COT_4_budgetthinker_abalation_mllm, the COT_5_shorten_shorten2_budgetthinker_abalation_mllm, the COT_5_shorten_budgetthinker_abalation_mllm, the COT_5_budgetthinker_abalation_mllm, the COT_6_shorten_shorten2_budgetthinker_abalation_mllm, the COT_6_shorten_budgetthinker_abalation_mllm, the COT_6_budgetthinker_abalation_mllm, the COT_8_shorten_shorten2_budgetthinker_abalation_mllm, the COT_8_shorten_budgetthinker_abalation_mllm, the COT_8_budgetthinker_abalation_mllm, the COT_9_shorten_shorten2_budgetthinker_abalation_mllm, the COT_9_shorten_budgetthinker_abalation_mllm, the COT_9_budgetthinker_abalation_mllm, the COT_10_shorten_shorten2_budgetthinker_abalation_mllm, the COT_10_shorten_budgetthinker_abalation_mllm and the COT_10_budgetthinker_abalation_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: 2 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- distributed_type: multi-GPU |
|
|
- num_devices: 6 |
|
|
- gradient_accumulation_steps: 2 |
|
|
- total_train_batch_size: 24 |
|
|
- 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 |
|
|
|
