File size: 5,501 Bytes
bb7d4ab 78cdc44 5164b14 78cdc44 f5f9309 99a3adf f5f9309 ab502e0 99a3adf cf19bec 78cdc44 bb7d4ab 4af31fb bb7d4ab 103d947 7a04e67 bb7d4ab 2856795 bb7d4ab a38dc9a 78cdc44 |
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 |
---
language:
- en
license: apache-2.0
tags:
- conversational
datasets:
- Intel/orca_dpo_pairs
- Locutusque/Hercules-v3.0
inference:
parameters:
do_sample: true
temperature: 0.8
top_p: 0.95
top_k: 40
min_new_tokens: 2
max_new_tokens: 250
repetition_penalty: 1.1
widget:
- text: Hello who are you?
example_title: Identity
- text: What can you do?
example_title: Capabilities
- text: Create a fastapi endpoint to retrieve the weather given a zip code.
example_title: Coding
model-index:
- name: NeuralReyna-Mini-1.8B-v0.2
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 37.8
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 60.51
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 45.04
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 37.75
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 60.93
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 27.07
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
name: Open LLM Leaderboard
---
# NeuralReyna-Mini-1.8B-v0.2
# Description
Taken aloobun/Reyna-Mini-1.8B-v0.2 and further fine-tuned it using DPO using the Intel/orca_dpo_pairs dataset.
This model has capabilities in coding, math, science, roleplay, and function calling.
This model was trained on OpenAI's ChatML prompt format.
# Evaluation
AGIEval:
GPT4ALL:
| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
|-------------|------:|------|-----:|--------|-----:|---|-----:|
|arc_challenge| 1|none | 0|acc |0.3208|± |0.0136|
| | |none | 0|acc_norm|0.3336|± |0.0138|
|arc_easy | 1|none | 0|acc |0.6035|± |0.0100|
| | |none | 0|acc_norm|0.5833|± |0.0101|
|boolq | 2|none | 0|acc |0.6526|± |0.0083|
|hellaswag | 1|none | 0|acc |0.4556|± |0.0050|
| | |none | 0|acc_norm|0.6076|± |0.0049|
|openbookqa | 1|none | 0|acc |0.2600|± |0.0196|
| | |none | 0|acc_norm|0.3460|± |0.0213|
|piqa | 1|none | 0|acc |0.7236|± |0.0104|
| | |none | 0|acc_norm|0.7307|± |0.0104|
|winogrande | 1|none | 0|acc |0.6062|± |0.0137|
# Disclaimer
This model may have overfitted to the DPO training data, and may not perform well.
# Contributions
Thanks to @aloobun and @Locutusque for their contributions to this model.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_M4-ai__NeuralReyna-Mini-1.8B-v0.2)
| Metric |Value|
|---------------------------------|----:|
|Avg. |44.85|
|AI2 Reasoning Challenge (25-Shot)|37.80|
|HellaSwag (10-Shot) |60.51|
|MMLU (5-Shot) |45.04|
|TruthfulQA (0-shot) |37.75|
|Winogrande (5-shot) |60.93|
|GSM8k (5-shot) |27.07|
|