Qingyun Li
commited on
Commit
•
5db8840
1
Parent(s):
3f4a318
Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (3a1b32ae66e700e263b04fcf5c9f5e1037680a97)
README.md
CHANGED
@@ -1,5 +1,4 @@
|
|
1 |
---
|
2 |
-
base_model: unsloth/Llama-3.2-3B-Instruct
|
3 |
language:
|
4 |
- en
|
5 |
license: apache-2.0
|
@@ -9,6 +8,102 @@ tags:
|
|
9 |
- unsloth
|
10 |
- llama
|
11 |
- trl
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
12 |
---
|
13 |
|
14 |
# Uploaded model
|
@@ -20,3 +115,17 @@ tags:
|
|
20 |
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
|
21 |
|
22 |
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
|
|
2 |
language:
|
3 |
- en
|
4 |
license: apache-2.0
|
|
|
8 |
- unsloth
|
9 |
- llama
|
10 |
- trl
|
11 |
+
base_model: unsloth/Llama-3.2-3B-Instruct
|
12 |
+
model-index:
|
13 |
+
- name: LLaMa_3.2_3B_Catalysts
|
14 |
+
results:
|
15 |
+
- task:
|
16 |
+
type: text-generation
|
17 |
+
name: Text Generation
|
18 |
+
dataset:
|
19 |
+
name: IFEval (0-Shot)
|
20 |
+
type: HuggingFaceH4/ifeval
|
21 |
+
args:
|
22 |
+
num_few_shot: 0
|
23 |
+
metrics:
|
24 |
+
- type: inst_level_strict_acc and prompt_level_strict_acc
|
25 |
+
value: 49.92
|
26 |
+
name: strict accuracy
|
27 |
+
source:
|
28 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/LLaMa_3.2_3B_Catalysts
|
29 |
+
name: Open LLM Leaderboard
|
30 |
+
- task:
|
31 |
+
type: text-generation
|
32 |
+
name: Text Generation
|
33 |
+
dataset:
|
34 |
+
name: BBH (3-Shot)
|
35 |
+
type: BBH
|
36 |
+
args:
|
37 |
+
num_few_shot: 3
|
38 |
+
metrics:
|
39 |
+
- type: acc_norm
|
40 |
+
value: 21.35
|
41 |
+
name: normalized accuracy
|
42 |
+
source:
|
43 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/LLaMa_3.2_3B_Catalysts
|
44 |
+
name: Open LLM Leaderboard
|
45 |
+
- task:
|
46 |
+
type: text-generation
|
47 |
+
name: Text Generation
|
48 |
+
dataset:
|
49 |
+
name: MATH Lvl 5 (4-Shot)
|
50 |
+
type: hendrycks/competition_math
|
51 |
+
args:
|
52 |
+
num_few_shot: 4
|
53 |
+
metrics:
|
54 |
+
- type: exact_match
|
55 |
+
value: 11.1
|
56 |
+
name: exact match
|
57 |
+
source:
|
58 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/LLaMa_3.2_3B_Catalysts
|
59 |
+
name: Open LLM Leaderboard
|
60 |
+
- task:
|
61 |
+
type: text-generation
|
62 |
+
name: Text Generation
|
63 |
+
dataset:
|
64 |
+
name: GPQA (0-shot)
|
65 |
+
type: Idavidrein/gpqa
|
66 |
+
args:
|
67 |
+
num_few_shot: 0
|
68 |
+
metrics:
|
69 |
+
- type: acc_norm
|
70 |
+
value: 5.15
|
71 |
+
name: acc_norm
|
72 |
+
source:
|
73 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/LLaMa_3.2_3B_Catalysts
|
74 |
+
name: Open LLM Leaderboard
|
75 |
+
- task:
|
76 |
+
type: text-generation
|
77 |
+
name: Text Generation
|
78 |
+
dataset:
|
79 |
+
name: MuSR (0-shot)
|
80 |
+
type: TAUR-Lab/MuSR
|
81 |
+
args:
|
82 |
+
num_few_shot: 0
|
83 |
+
metrics:
|
84 |
+
- type: acc_norm
|
85 |
+
value: 7.95
|
86 |
+
name: acc_norm
|
87 |
+
source:
|
88 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/LLaMa_3.2_3B_Catalysts
|
89 |
+
name: Open LLM Leaderboard
|
90 |
+
- task:
|
91 |
+
type: text-generation
|
92 |
+
name: Text Generation
|
93 |
+
dataset:
|
94 |
+
name: MMLU-PRO (5-shot)
|
95 |
+
type: TIGER-Lab/MMLU-Pro
|
96 |
+
config: main
|
97 |
+
split: test
|
98 |
+
args:
|
99 |
+
num_few_shot: 5
|
100 |
+
metrics:
|
101 |
+
- type: acc
|
102 |
+
value: 22.31
|
103 |
+
name: accuracy
|
104 |
+
source:
|
105 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/LLaMa_3.2_3B_Catalysts
|
106 |
+
name: Open LLM Leaderboard
|
107 |
---
|
108 |
|
109 |
# Uploaded model
|
|
|
115 |
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
|
116 |
|
117 |
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
118 |
+
|
119 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
120 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/qingy2019__LLaMa_3.2_3B_Catalysts-details)
|
121 |
+
|
122 |
+
| Metric |Value|
|
123 |
+
|-------------------|----:|
|
124 |
+
|Avg. |19.63|
|
125 |
+
|IFEval (0-Shot) |49.92|
|
126 |
+
|BBH (3-Shot) |21.35|
|
127 |
+
|MATH Lvl 5 (4-Shot)|11.10|
|
128 |
+
|GPQA (0-shot) | 5.15|
|
129 |
+
|MuSR (0-shot) | 7.95|
|
130 |
+
|MMLU-PRO (5-shot) |22.31|
|
131 |
+
|