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---
license: mit
library_name: adapter-transformers
datasets:
- meta-math/MetaMathQA
pipeline_tag: text-generation
model-index:
- name: TarsMeta
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: 52.9
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xriminact/TarsMeta
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: 78.2
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xriminact/TarsMeta
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: 52.63
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xriminact/TarsMeta
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: 47.88
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xriminact/TarsMeta
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: 72.77
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xriminact/TarsMeta
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: 52.84
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xriminact/TarsMeta
name: Open LLM Leaderboard
---
# Model Card for TarsMeta
## Model Details
TarsMeta is FT on MetaMathQA dataset for better word math problem solving capabilities
### Training Data
epochs 4
rows 39K
lr 2e-4
### Training Procedure
autotrain-advanced
#### Preprocessing
dataset was converted in chatML format
# [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_xriminact__TarsMeta)
| Metric |Value|
|---------------------------------|----:|
|Avg. |59.54|
|AI2 Reasoning Challenge (25-Shot)|52.90|
|HellaSwag (10-Shot) |78.20|
|MMLU (5-Shot) |52.63|
|TruthfulQA (0-shot) |47.88|
|Winogrande (5-shot) |72.77|
|GSM8k (5-shot) |52.84|
|