|
--- |
|
license: other |
|
license_name: yi-34b |
|
license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE |
|
model-index: |
|
- name: Tess-M-v1.1 |
|
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: 67.15 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=migtissera/Tess-M-v1.1 |
|
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: 84.76 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=migtissera/Tess-M-v1.1 |
|
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: 74.5 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=migtissera/Tess-M-v1.1 |
|
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: 54.8 |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=migtissera/Tess-M-v1.1 |
|
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: 82.87 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=migtissera/Tess-M-v1.1 |
|
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: 54.66 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=migtissera/Tess-M-v1.1 |
|
name: Open LLM Leaderboard |
|
--- |
|
|
|
# Note: |
|
This version is experimental and have been depracated. Please use the stable release Tess-M-v1.3: https://huggingface.co/migtissera/Tess-M-v1.3 |
|
|
|
# Tess |
|
|
|
![Tess](https://huggingface.co/migtissera/Tess-M-v1.0/resolve/main/Tess.png) |
|
|
|
Tess, short for Tessoro/Tessoso, is a general purpose Large Language Model series. Tess-M-v1.1 was trained on the Yi-34B-200K base. |
|
|
|
|
|
# Prompt Format: |
|
|
|
``` |
|
SYSTEM: <ANY SYSTEM CONTEXT> |
|
USER: |
|
ASSISTANT: |
|
``` |
|
|
|
|
|
|
|
# [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_migtissera__Tess-M-v1.1) |
|
|
|
| Metric |Value| |
|
|---------------------------------|----:| |
|
|Avg. |69.79| |
|
|AI2 Reasoning Challenge (25-Shot)|67.15| |
|
|HellaSwag (10-Shot) |84.76| |
|
|MMLU (5-Shot) |74.50| |
|
|TruthfulQA (0-shot) |54.80| |
|
|Winogrande (5-shot) |82.87| |
|
|GSM8k (5-shot) |54.66| |
|
|
|
|