Text Generation
Transformers
Safetensors
mistral
RolePlay
Role-Play-Pro
NPC
Mystical
Character-Based-Gaming
Custom-Vision
TextVision-Text
Vision-Text
TextVision-Vision
TextAudio-Text
TextAudio-Audio
mergekit
Merge
Mistral_Star
Mistral_Quiet
Mistral
Mixtral
Question-Answer
Token-Classification
Sequence-Classification
SpydazWeb-AI
chemistry
biology
legal
code
climate
medical
LCARS_AI_StarTrek_Computer
text-generation-inference
chain-of-thought
tree-of-knowledge
forest-of-thoughts
visual-spacial-sketchpad
alpha-mind
knowledge-graph
entity-detection
encyclopedia
wikipedia
stack-exchange
Reddit
Cyber-series
MegaMind
Cybertron
SpydazWeb
Spydaz
LCARS
star-trek
mega-transformers
Mulit-Mega-Merge
Multi-Lingual
Afro-Centric
African-Model
Ancient-One
image-detection
Base64-Text
Text-Base64
Spectrogram-Text
Text-Spectrogram
Mel-Text
Text-Mel
Eval Results
Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (cf793ed4c578ac16e11f388e12920a35502a5b0f)
README.md
CHANGED
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@@ -1,33 +1,4 @@
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| 1 |
---
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| 2 |
-
base_model:
|
| 3 |
-
- rvv-karma/BASH-Coder-Mistral-7B
|
| 4 |
-
- Locutusque/Hercules-3.1-Mistral-7B
|
| 5 |
-
- KoboldAI/Mistral-7B-Erebus-v3
|
| 6 |
-
- Locutusque/Hyperion-2.1-Mistral-7B
|
| 7 |
-
- Severian/Nexus-IKM-Mistral-7B-Pytorch
|
| 8 |
-
- NousResearch/Hermes-2-Pro-Mistral-7B
|
| 9 |
-
- mistralai/Mistral-7B-Instruct-v0.2
|
| 10 |
-
- Nitral-AI/ProdigyXBioMistral_7B
|
| 11 |
-
- Nitral-AI/Infinite-Mika-7b
|
| 12 |
-
- Nous-Yarn-Mistral-7b-128k
|
| 13 |
-
- yanismiraoui/Yarn-Mistral-7b-128k-sharded
|
| 14 |
-
- LeroyDyer/LCARS_TOP_SCORE
|
| 15 |
-
- LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0
|
| 16 |
-
- LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
|
| 17 |
-
- LeroyDyer/LCARS_AI_StarTrek_Computer
|
| 18 |
-
- LeroyDyer/_Spydaz_Web_AI_ActionQA_Project
|
| 19 |
-
- LeroyDyer/_Spydaz_Web_AI_ChatML_512K_Project
|
| 20 |
-
- LeroyDyer/_Spydaz_Web_AI_ChatQA_ReAct_Project_UltraFineTuned
|
| 21 |
-
- LeroyDyer/SpyazWeb_AI_DeepMind_Project
|
| 22 |
-
- LeroyDyer/SpydazWeb_AI_Swahili_Project
|
| 23 |
-
- LeroyDyer/_Spydaz_Web_AI_ChatQA_ReAct_Project
|
| 24 |
-
- LeroyDyer/_Spydaz_Web_AI_MistralStar_001_Project
|
| 25 |
-
- LeroyDyer/QuietStar_Project
|
| 26 |
-
- LeroyDyer/Mixtral_BioMedical_7b
|
| 27 |
-
- LeroyDyer/Mixtral_AI_CyberTron_Coder
|
| 28 |
-
- LeroyDyer/_Spydaz_Web_AI_BIBLE_002
|
| 29 |
-
- LeroyDyer/_Spydaz_Web_AI_ChatQA_Reasoning101_Project
|
| 30 |
-
- LeroyDyer/SpydazWeb_AI_Text_AudioVision_Project
|
| 31 |
language:
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| 32 |
- en
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| 33 |
- sw
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|
@@ -44,21 +15,7 @@ language:
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| 44 |
- bm
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| 45 |
- su
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| 46 |
license: apache-2.0
|
| 47 |
-
|
| 48 |
-
- neoneye/base64-decode-v2
|
| 49 |
-
- neoneye/base64-encode-v1
|
| 50 |
-
- VuongQuoc/Chemistry_text_to_image
|
| 51 |
-
- Kamizuru00/diagram_image_to_text
|
| 52 |
-
- LeroyDyer/Chemistry_text_to_image_BASE64
|
| 53 |
-
- LeroyDyer/AudioCaps-Spectrograms_to_Base64
|
| 54 |
-
- LeroyDyer/winogroud_text_to_imaget_BASE64
|
| 55 |
-
- LeroyDyer/chart_text_to_Base64
|
| 56 |
-
- LeroyDyer/diagram_image_to_text_BASE64
|
| 57 |
-
- mekaneeky/salt_m2e_15_3_instruction
|
| 58 |
-
- mekaneeky/SALT-languages-bible
|
| 59 |
-
- xz56/react-llama
|
| 60 |
-
- BeIR/hotpotqa
|
| 61 |
-
- arcee-ai/agent-data
|
| 62 |
tags:
|
| 63 |
- RolePlay
|
| 64 |
- Role-Play-Pro
|
|
@@ -120,8 +77,50 @@ tags:
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| 120 |
- Text-Spectrogram
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| 121 |
- Mel-Text
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| 122 |
- Text-Mel
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| 123 |
-
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| 124 |
-
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metrics:
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| 126 |
- accuracy
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| 127 |
- bertscore
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@@ -129,6 +128,102 @@ metrics:
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| 129 |
- bleurt
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| 130 |
- brier_score
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| 131 |
- cer
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| 132 |
---
|
| 133 |
|
| 134 |
BASE MODEL :
|
|
@@ -407,4 +502,17 @@ It most definatly did create graphs ad recognize some images , but i will need t
|
|
| 407 |
so I will find some other insteresting datasets based around the task of image detection and generation as well as image segmentation and mask etc :
|
| 408 |
It only the conversion of the dataset to include these base64 representations :
|
| 409 |
Image training is quite slow ! ( i was able to create the trainer settings to perform 5000 samples in a single step , but it was still very slow for the step. ( google colab ))
|
| 410 |
-
So If i Tap into the A100 I will Do a few 1000( sample ) Steps : also using this prompt ! as well as task training we are also prompt tuning ! by installing many repetitions of the same prompt ... hopefully removing traces of ..."your a helpful AI"
|
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| 1 |
---
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| 2 |
language:
|
| 3 |
- en
|
| 4 |
- sw
|
|
|
|
| 15 |
- bm
|
| 16 |
- su
|
| 17 |
license: apache-2.0
|
| 18 |
+
library_name: transformers
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| 19 |
tags:
|
| 20 |
- RolePlay
|
| 21 |
- Role-Play-Pro
|
|
|
|
| 77 |
- Text-Spectrogram
|
| 78 |
- Mel-Text
|
| 79 |
- Text-Mel
|
| 80 |
+
base_model:
|
| 81 |
+
- rvv-karma/BASH-Coder-Mistral-7B
|
| 82 |
+
- Locutusque/Hercules-3.1-Mistral-7B
|
| 83 |
+
- KoboldAI/Mistral-7B-Erebus-v3
|
| 84 |
+
- Locutusque/Hyperion-2.1-Mistral-7B
|
| 85 |
+
- Severian/Nexus-IKM-Mistral-7B-Pytorch
|
| 86 |
+
- NousResearch/Hermes-2-Pro-Mistral-7B
|
| 87 |
+
- mistralai/Mistral-7B-Instruct-v0.2
|
| 88 |
+
- Nitral-AI/ProdigyXBioMistral_7B
|
| 89 |
+
- Nitral-AI/Infinite-Mika-7b
|
| 90 |
+
- Nous-Yarn-Mistral-7b-128k
|
| 91 |
+
- yanismiraoui/Yarn-Mistral-7b-128k-sharded
|
| 92 |
+
- LeroyDyer/LCARS_TOP_SCORE
|
| 93 |
+
- LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0
|
| 94 |
+
- LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
|
| 95 |
+
- LeroyDyer/LCARS_AI_StarTrek_Computer
|
| 96 |
+
- LeroyDyer/_Spydaz_Web_AI_ActionQA_Project
|
| 97 |
+
- LeroyDyer/_Spydaz_Web_AI_ChatML_512K_Project
|
| 98 |
+
- LeroyDyer/_Spydaz_Web_AI_ChatQA_ReAct_Project_UltraFineTuned
|
| 99 |
+
- LeroyDyer/SpyazWeb_AI_DeepMind_Project
|
| 100 |
+
- LeroyDyer/SpydazWeb_AI_Swahili_Project
|
| 101 |
+
- LeroyDyer/_Spydaz_Web_AI_ChatQA_ReAct_Project
|
| 102 |
+
- LeroyDyer/_Spydaz_Web_AI_MistralStar_001_Project
|
| 103 |
+
- LeroyDyer/QuietStar_Project
|
| 104 |
+
- LeroyDyer/Mixtral_BioMedical_7b
|
| 105 |
+
- LeroyDyer/Mixtral_AI_CyberTron_Coder
|
| 106 |
+
- LeroyDyer/_Spydaz_Web_AI_BIBLE_002
|
| 107 |
+
- LeroyDyer/_Spydaz_Web_AI_ChatQA_Reasoning101_Project
|
| 108 |
+
- LeroyDyer/SpydazWeb_AI_Text_AudioVision_Project
|
| 109 |
+
datasets:
|
| 110 |
+
- neoneye/base64-decode-v2
|
| 111 |
+
- neoneye/base64-encode-v1
|
| 112 |
+
- VuongQuoc/Chemistry_text_to_image
|
| 113 |
+
- Kamizuru00/diagram_image_to_text
|
| 114 |
+
- LeroyDyer/Chemistry_text_to_image_BASE64
|
| 115 |
+
- LeroyDyer/AudioCaps-Spectrograms_to_Base64
|
| 116 |
+
- LeroyDyer/winogroud_text_to_imaget_BASE64
|
| 117 |
+
- LeroyDyer/chart_text_to_Base64
|
| 118 |
+
- LeroyDyer/diagram_image_to_text_BASE64
|
| 119 |
+
- mekaneeky/salt_m2e_15_3_instruction
|
| 120 |
+
- mekaneeky/SALT-languages-bible
|
| 121 |
+
- xz56/react-llama
|
| 122 |
+
- BeIR/hotpotqa
|
| 123 |
+
- arcee-ai/agent-data
|
| 124 |
metrics:
|
| 125 |
- accuracy
|
| 126 |
- bertscore
|
|
|
|
| 128 |
- bleurt
|
| 129 |
- brier_score
|
| 130 |
- cer
|
| 131 |
+
pipeline_tag: text-generation
|
| 132 |
+
model-index:
|
| 133 |
+
- name: SpydazWeb_AI_HumanAI_RP
|
| 134 |
+
results:
|
| 135 |
+
- task:
|
| 136 |
+
type: text-generation
|
| 137 |
+
name: Text Generation
|
| 138 |
+
dataset:
|
| 139 |
+
name: IFEval (0-Shot)
|
| 140 |
+
type: HuggingFaceH4/ifeval
|
| 141 |
+
args:
|
| 142 |
+
num_few_shot: 0
|
| 143 |
+
metrics:
|
| 144 |
+
- type: inst_level_strict_acc and prompt_level_strict_acc
|
| 145 |
+
value: 25.41
|
| 146 |
+
name: strict accuracy
|
| 147 |
+
source:
|
| 148 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_AI_HumanAI_RP
|
| 149 |
+
name: Open LLM Leaderboard
|
| 150 |
+
- task:
|
| 151 |
+
type: text-generation
|
| 152 |
+
name: Text Generation
|
| 153 |
+
dataset:
|
| 154 |
+
name: BBH (3-Shot)
|
| 155 |
+
type: BBH
|
| 156 |
+
args:
|
| 157 |
+
num_few_shot: 3
|
| 158 |
+
metrics:
|
| 159 |
+
- type: acc_norm
|
| 160 |
+
value: 7.18
|
| 161 |
+
name: normalized accuracy
|
| 162 |
+
source:
|
| 163 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_AI_HumanAI_RP
|
| 164 |
+
name: Open LLM Leaderboard
|
| 165 |
+
- task:
|
| 166 |
+
type: text-generation
|
| 167 |
+
name: Text Generation
|
| 168 |
+
dataset:
|
| 169 |
+
name: MATH Lvl 5 (4-Shot)
|
| 170 |
+
type: hendrycks/competition_math
|
| 171 |
+
args:
|
| 172 |
+
num_few_shot: 4
|
| 173 |
+
metrics:
|
| 174 |
+
- type: exact_match
|
| 175 |
+
value: 1.28
|
| 176 |
+
name: exact match
|
| 177 |
+
source:
|
| 178 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_AI_HumanAI_RP
|
| 179 |
+
name: Open LLM Leaderboard
|
| 180 |
+
- task:
|
| 181 |
+
type: text-generation
|
| 182 |
+
name: Text Generation
|
| 183 |
+
dataset:
|
| 184 |
+
name: GPQA (0-shot)
|
| 185 |
+
type: Idavidrein/gpqa
|
| 186 |
+
args:
|
| 187 |
+
num_few_shot: 0
|
| 188 |
+
metrics:
|
| 189 |
+
- type: acc_norm
|
| 190 |
+
value: 3.36
|
| 191 |
+
name: acc_norm
|
| 192 |
+
source:
|
| 193 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_AI_HumanAI_RP
|
| 194 |
+
name: Open LLM Leaderboard
|
| 195 |
+
- task:
|
| 196 |
+
type: text-generation
|
| 197 |
+
name: Text Generation
|
| 198 |
+
dataset:
|
| 199 |
+
name: MuSR (0-shot)
|
| 200 |
+
type: TAUR-Lab/MuSR
|
| 201 |
+
args:
|
| 202 |
+
num_few_shot: 0
|
| 203 |
+
metrics:
|
| 204 |
+
- type: acc_norm
|
| 205 |
+
value: 5.87
|
| 206 |
+
name: acc_norm
|
| 207 |
+
source:
|
| 208 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_AI_HumanAI_RP
|
| 209 |
+
name: Open LLM Leaderboard
|
| 210 |
+
- task:
|
| 211 |
+
type: text-generation
|
| 212 |
+
name: Text Generation
|
| 213 |
+
dataset:
|
| 214 |
+
name: MMLU-PRO (5-shot)
|
| 215 |
+
type: TIGER-Lab/MMLU-Pro
|
| 216 |
+
config: main
|
| 217 |
+
split: test
|
| 218 |
+
args:
|
| 219 |
+
num_few_shot: 5
|
| 220 |
+
metrics:
|
| 221 |
+
- type: acc
|
| 222 |
+
value: 3.6
|
| 223 |
+
name: accuracy
|
| 224 |
+
source:
|
| 225 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_AI_HumanAI_RP
|
| 226 |
+
name: Open LLM Leaderboard
|
| 227 |
---
|
| 228 |
|
| 229 |
BASE MODEL :
|
|
|
|
| 502 |
so I will find some other insteresting datasets based around the task of image detection and generation as well as image segmentation and mask etc :
|
| 503 |
It only the conversion of the dataset to include these base64 representations :
|
| 504 |
Image training is quite slow ! ( i was able to create the trainer settings to perform 5000 samples in a single step , but it was still very slow for the step. ( google colab ))
|
| 505 |
+
So If i Tap into the A100 I will Do a few 1000( sample ) Steps : also using this prompt ! as well as task training we are also prompt tuning ! by installing many repetitions of the same prompt ... hopefully removing traces of ..."your a helpful AI"
|
| 506 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
| 507 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/LeroyDyer__SpydazWeb_AI_HumanAI_RP-details)
|
| 508 |
+
|
| 509 |
+
| Metric |Value|
|
| 510 |
+
|-------------------|----:|
|
| 511 |
+
|Avg. | 7.78|
|
| 512 |
+
|IFEval (0-Shot) |25.41|
|
| 513 |
+
|BBH (3-Shot) | 7.18|
|
| 514 |
+
|MATH Lvl 5 (4-Shot)| 1.28|
|
| 515 |
+
|GPQA (0-shot) | 3.36|
|
| 516 |
+
|MuSR (0-shot) | 5.87|
|
| 517 |
+
|MMLU-PRO (5-shot) | 3.60|
|
| 518 |
+
|