leaderboard-pr-bot
commited on
Commit
•
a5d025a
1
Parent(s):
036fa46
Adding Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions
README.md
CHANGED
@@ -1,10 +1,113 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
datasets:
|
4 |
- cerebras/SlimPajama-627B
|
5 |
- bigcode/starcoderdata
|
6 |
-
|
7 |
-
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
8 |
---
|
9 |
<div align="center">
|
10 |
|
@@ -35,4 +138,17 @@ This collection contains all checkpoints after the 1T fix. Branch name indicates
|
|
35 |
| TinyLlama-1.1B-intermediate-step-715k-1.5T | 1.5T | 53.68 | 35.20 | 58.33 | 29.18 | 51.89 | 59.08 | 71.65 | 51.29 |
|
36 |
| TinyLlama-1.1B-intermediate-step-955k-2T | 2T | 54.63 | 33.40 | 56.83 | 28.07 | 54.67 | 63.21 | 70.67 | 51.64 |
|
37 |
| TinyLlama-1.1B-intermediate-step-1195k-2.5T | 2.5T | 58.96 | 34.40 | 58.72 | 31.91 | 56.78 | 63.21 | 73.07 | 53.86|
|
38 |
-
| TinyLlama-1.1B-intermediate-step-1431k-3T | 3T | 59.20 | 36.00 | 59.12 | 30.12 | 55.25 | 57.83 | 73.29 | 52.99|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
license: apache-2.0
|
5 |
datasets:
|
6 |
- cerebras/SlimPajama-627B
|
7 |
- bigcode/starcoderdata
|
8 |
+
model-index:
|
9 |
+
- name: TinyLlama-1.1B-intermediate-step-1431k-3T
|
10 |
+
results:
|
11 |
+
- task:
|
12 |
+
type: text-generation
|
13 |
+
name: Text Generation
|
14 |
+
dataset:
|
15 |
+
name: AI2 Reasoning Challenge (25-Shot)
|
16 |
+
type: ai2_arc
|
17 |
+
config: ARC-Challenge
|
18 |
+
split: test
|
19 |
+
args:
|
20 |
+
num_few_shot: 25
|
21 |
+
metrics:
|
22 |
+
- type: acc_norm
|
23 |
+
value: 33.87
|
24 |
+
name: normalized accuracy
|
25 |
+
source:
|
26 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
27 |
+
name: Open LLM Leaderboard
|
28 |
+
- task:
|
29 |
+
type: text-generation
|
30 |
+
name: Text Generation
|
31 |
+
dataset:
|
32 |
+
name: HellaSwag (10-Shot)
|
33 |
+
type: hellaswag
|
34 |
+
split: validation
|
35 |
+
args:
|
36 |
+
num_few_shot: 10
|
37 |
+
metrics:
|
38 |
+
- type: acc_norm
|
39 |
+
value: 60.31
|
40 |
+
name: normalized accuracy
|
41 |
+
source:
|
42 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
43 |
+
name: Open LLM Leaderboard
|
44 |
+
- task:
|
45 |
+
type: text-generation
|
46 |
+
name: Text Generation
|
47 |
+
dataset:
|
48 |
+
name: MMLU (5-Shot)
|
49 |
+
type: cais/mmlu
|
50 |
+
config: all
|
51 |
+
split: test
|
52 |
+
args:
|
53 |
+
num_few_shot: 5
|
54 |
+
metrics:
|
55 |
+
- type: acc
|
56 |
+
value: 26.04
|
57 |
+
name: accuracy
|
58 |
+
source:
|
59 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
60 |
+
name: Open LLM Leaderboard
|
61 |
+
- task:
|
62 |
+
type: text-generation
|
63 |
+
name: Text Generation
|
64 |
+
dataset:
|
65 |
+
name: TruthfulQA (0-shot)
|
66 |
+
type: truthful_qa
|
67 |
+
config: multiple_choice
|
68 |
+
split: validation
|
69 |
+
args:
|
70 |
+
num_few_shot: 0
|
71 |
+
metrics:
|
72 |
+
- type: mc2
|
73 |
+
value: 37.32
|
74 |
+
source:
|
75 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
76 |
+
name: Open LLM Leaderboard
|
77 |
+
- task:
|
78 |
+
type: text-generation
|
79 |
+
name: Text Generation
|
80 |
+
dataset:
|
81 |
+
name: Winogrande (5-shot)
|
82 |
+
type: winogrande
|
83 |
+
config: winogrande_xl
|
84 |
+
split: validation
|
85 |
+
args:
|
86 |
+
num_few_shot: 5
|
87 |
+
metrics:
|
88 |
+
- type: acc
|
89 |
+
value: 59.51
|
90 |
+
name: accuracy
|
91 |
+
source:
|
92 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
93 |
+
name: Open LLM Leaderboard
|
94 |
+
- task:
|
95 |
+
type: text-generation
|
96 |
+
name: Text Generation
|
97 |
+
dataset:
|
98 |
+
name: GSM8k (5-shot)
|
99 |
+
type: gsm8k
|
100 |
+
config: main
|
101 |
+
split: test
|
102 |
+
args:
|
103 |
+
num_few_shot: 5
|
104 |
+
metrics:
|
105 |
+
- type: acc
|
106 |
+
value: 1.44
|
107 |
+
name: accuracy
|
108 |
+
source:
|
109 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
110 |
+
name: Open LLM Leaderboard
|
111 |
---
|
112 |
<div align="center">
|
113 |
|
|
|
138 |
| TinyLlama-1.1B-intermediate-step-715k-1.5T | 1.5T | 53.68 | 35.20 | 58.33 | 29.18 | 51.89 | 59.08 | 71.65 | 51.29 |
|
139 |
| TinyLlama-1.1B-intermediate-step-955k-2T | 2T | 54.63 | 33.40 | 56.83 | 28.07 | 54.67 | 63.21 | 70.67 | 51.64 |
|
140 |
| TinyLlama-1.1B-intermediate-step-1195k-2.5T | 2.5T | 58.96 | 34.40 | 58.72 | 31.91 | 56.78 | 63.21 | 73.07 | 53.86|
|
141 |
+
| TinyLlama-1.1B-intermediate-step-1431k-3T | 3T | 59.20 | 36.00 | 59.12 | 30.12 | 55.25 | 57.83 | 73.29 | 52.99|
|
142 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
143 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_TinyLlama__TinyLlama-1.1B-intermediate-step-1431k-3T)
|
144 |
+
|
145 |
+
| Metric |Value|
|
146 |
+
|---------------------------------|----:|
|
147 |
+
|Avg. |36.42|
|
148 |
+
|AI2 Reasoning Challenge (25-Shot)|33.87|
|
149 |
+
|HellaSwag (10-Shot) |60.31|
|
150 |
+
|MMLU (5-Shot) |26.04|
|
151 |
+
|TruthfulQA (0-shot) |37.32|
|
152 |
+
|Winogrande (5-shot) |59.51|
|
153 |
+
|GSM8k (5-shot) | 1.44|
|
154 |
+
|