File size: 5,911 Bytes
ca46373 04ed5af dbaeee8 a40cf3e ca46373 6e31b38 d41acf4 ca46373 6e31b38 d49824a 6e31b38 ca46373 6e31b38 ca46373 6e31b38 ca46373 6e31b38 d41acf4 6e31b38 d41acf4 6e31b38 d41acf4 6e31b38 d41acf4 6e31b38 d41acf4 ae24756 6e31b38 d41acf4 a40cf3e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 |
---
base_model: Daemontatox/RA_Reasoner
license: apache-2.0
datasets:
- Daemontatox/Deepthinking-COT
language:
- en
new_version: Daemontatox/RA_Reasoner2.0
library_name: transformers
tags:
- COT
- Reasoning
- text-generation-inference
pipeline_tag: text-generation
model-index:
- name: RA_Reasoner2.0
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: wis-k/instruction-following-eval
split: train
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 53.66
name: averaged accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Daemontatox%2FRA_Reasoner2.0
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: SaylorTwift/bbh
split: test
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 43.07
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Daemontatox%2FRA_Reasoner2.0
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: lighteval/MATH-Hard
split: test
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 22.89
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Daemontatox%2FRA_Reasoner2.0
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
split: train
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 9.96
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Daemontatox%2FRA_Reasoner2.0
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 7.18
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Daemontatox%2FRA_Reasoner2.0
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 37.26
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Daemontatox%2FRA_Reasoner2.0
name: Open LLM Leaderboard
---
# **RA_Reasoner 2.0**
## **Model Details**
**Developed by:** [Daemontatox](#)
**License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
**Base Model:** Daemontatox/RA_Reasoner
This model is fine-tuned from the Falcon-10B-Instruct model, leveraging advanced training optimizations to enhance reasoning and instruction-following capabilities. It was trained 2x faster using [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library.
---
## **Training Details**
- **Frameworks Used:** Unsloth, Hugging Face TRL
- **Fine-Tuning Focus:** Emphasis on reasoning, logic-based tasks, and instruction comprehension.
- **Dataset:** Includes examples from [Daemontatox/Deepthinking-COT](https://huggingface.co/datasets/Daemontatox/Deepthinking-COT).
- **Optimization:** Significant speedup during fine-tuning while maintaining model quality.
Further details on hyperparameters and fine-tuning methodology will be added in future updates.
---
## **Intended Use**
This model is intended for **research and development** in text generation, reasoning tasks, and instruction-following applications.
### **Key Features:**
- Enhanced reasoning capabilities for multi-step logical problems.
- Robust instruction-following for complex tasks.
- Fine-tuned for Chain-of-Thought (COT) reasoning and inference.
### **Applications:**
- Research on reasoning-based AI systems.
- Tasks requiring logical deductions, such as question answering and problem-solving.
- General text generation with a focus on nuanced understanding.
---
## **Limitations and Warnings**
- This model is not designed for real-time or production-critical tasks.
- Outputs may vary based on input specificity and complexity.
- Users are responsible for ensuring ethical use and compliance with applicable regulations.
---
## **Acknowledgments**
- Base model: Daemontatox/RA_Reasoner
- Training acceleration powered by [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library.
- Dataset contributions: [Daemontatox/Deepthinking-COT](https://huggingface.co/datasets/Daemontatox/Deepthinking-COT).
---# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/Daemontatox__RA_Reasoner2.0-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=Daemontatox%2FRA_Reasoner2.0&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
| Metric |Value (%)|
|-------------------|--------:|
|**Average** | 29.00|
|IFEval (0-Shot) | 53.66|
|BBH (3-Shot) | 43.07|
|MATH Lvl 5 (4-Shot)| 22.89|
|GPQA (0-shot) | 9.96|
|MuSR (0-shot) | 7.18|
|MMLU-PRO (5-shot) | 37.26|
|