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---
language:
- en
- de
license: mit
model-index:
- name: LexGPT-V3
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: 66.47
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3
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: 85.91
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3
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: 64.48
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3
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: 59.98
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3
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: 78.53
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3
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: 61.56
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3
name: Open LLM Leaderboard
---
This Model was just an Test Train to see how our new Training Algorithm and Data does like.
Model is based on Mistral v0.1
As this was an test run, we just tested it and heres the Data, the model hasnt Improved any better.
| Model | Turn 1 Score | Turn 2 Score | Average Score |
|-------|-------------|-------------|---------------|
| gpt-4 | 8.95625 | 9.025000 | 8.990625 |
| gpt-3.5-turbo | 8.075000 | 7.943750 | 7.943750 |
| claude-v1 | 8.150000 | 7.900000 | 8.025000 |
| **LexGPT-V3** | **8.14375** | 7.719355 | 7.926667 |
| vicuna-13b-v1.3 | 6.812500 | 5.962500 | 6.387500 |
Open-LLM Leaderboard Results:
[Results](https://huggingface.co/datasets/open-llm-leaderboard/details_lex-hue__LexGPT-V3)
# [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_lex-hue__LexGPT-V3)
| Metric |Value|
|---------------------------------|----:|
|Avg. |69.49|
|AI2 Reasoning Challenge (25-Shot)|66.47|
|HellaSwag (10-Shot) |85.91|
|MMLU (5-Shot) |64.48|
|TruthfulQA (0-shot) |59.98|
|Winogrande (5-shot) |78.53|
|GSM8k (5-shot) |61.56|
|