File size: 3,996 Bytes
913eec9 6f1f92b 913eec9 6f1f92b |
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 |
---
license: cc-by-nc-nd-4.0
model-index:
- name: caigun-lora-model-34B-v2
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: 65.02
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=APMIC/caigun-lora-model-34B-v2
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: 85.28
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=APMIC/caigun-lora-model-34B-v2
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: 75.69
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=APMIC/caigun-lora-model-34B-v2
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: 58.03
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=APMIC/caigun-lora-model-34B-v2
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: 83.03
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=APMIC/caigun-lora-model-34B-v2
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: 60.12
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=APMIC/caigun-lora-model-34B-v2
name: Open LLM Leaderboard
---
This is model finetuned on Orca style dataset.
Model Details:
Model Name: caigun-lora-model-33B
Model Version: 1.0
Date Created: 2023/12/21
Model Overview:
Intended Use:
caigun-lora-model-33B is a LLM designed for various purpose.
Training Data:
Orca style dataset
Model Architecture:
It is based on LLaMA architecture.
Training Procedure:
[Stay tuned for updates]
Model Performance:
[Stay tuned for updates]
Potential Risks:
It's important to consider ethical implications related to the use of our model.
Updates and Version History:
Version 1.0: finetuned on fake news detection.
Version 2.0: finetuned on Orca style dataset.
# [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_APMIC__caigun-lora-model-34B-v2)
| Metric |Value|
|---------------------------------|----:|
|Avg. |71.19|
|AI2 Reasoning Challenge (25-Shot)|65.02|
|HellaSwag (10-Shot) |85.28|
|MMLU (5-Shot) |75.69|
|TruthfulQA (0-shot) |58.03|
|Winogrande (5-shot) |83.03|
|GSM8k (5-shot) |60.12|
|