Adding Evaluation Results
#6
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,85 +1,185 @@
|
|
1 |
---
|
|
|
|
|
|
|
2 |
tags:
|
3 |
- generated_from_trainer
|
4 |
- finance
|
5 |
model-index:
|
6 |
- name: completed-model
|
7 |
results:
|
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 |
**Albatross** is a collection of domain-specific language models for finance applications developed by [Gradient](https://gradient.ai/).
|
@@ -209,4 +309,17 @@ Gradient is accelerating AI transformation across industries. https://gradient.a
|
|
209 |
|
210 |
## Contact Us
|
211 |
|
212 |
-
Drop an email to [[email protected]](mailto:[email protected])
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
license: llama2
|
5 |
tags:
|
6 |
- generated_from_trainer
|
7 |
- finance
|
8 |
model-index:
|
9 |
- name: completed-model
|
10 |
results:
|
11 |
+
- task:
|
12 |
+
type: text-generation
|
13 |
+
dataset:
|
14 |
+
name: ai2_arc
|
15 |
+
type: ai2_arc
|
16 |
+
metrics:
|
17 |
+
- type: AI2 Reasoning Challenge (25-Shot)
|
18 |
+
value: 71.93
|
19 |
+
name: AI2 Reasoning Challenge (25-Shot)
|
20 |
+
source:
|
21 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
22 |
+
name: Open LLM Leaderboard
|
23 |
+
- task:
|
24 |
+
type: text-generation
|
25 |
+
dataset:
|
26 |
+
name: hellaswag
|
27 |
+
type: hellaswag
|
28 |
+
metrics:
|
29 |
+
- type: HellaSwag (10-shot)
|
30 |
+
value: 86.82
|
31 |
+
name: HellaSwag (10-shot)
|
32 |
+
source:
|
33 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
34 |
+
name: Open LLM Leaderboard
|
35 |
+
- task:
|
36 |
+
type: text-generation
|
37 |
+
dataset:
|
38 |
+
name: multiple
|
39 |
+
type: miltiple
|
40 |
+
metrics:
|
41 |
+
- type: MMLU (5-shot)
|
42 |
+
value: 70.38
|
43 |
+
name: MMLU (5-shot)
|
44 |
+
source:
|
45 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
46 |
+
name: Open LLM Leaderboard
|
47 |
+
- task:
|
48 |
+
type: text-generation
|
49 |
+
dataset:
|
50 |
+
name: truthful_qa
|
51 |
+
type: truthful_qa
|
52 |
+
metrics:
|
53 |
+
- type: TruthfulQA (0-shot)
|
54 |
+
value: 65.21
|
55 |
+
name: TruthfulQA (0-shot)
|
56 |
+
source:
|
57 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
58 |
+
name: Open LLM Leaderboard
|
59 |
+
- task:
|
60 |
+
type: text-generation
|
61 |
+
dataset:
|
62 |
+
name: winogrande
|
63 |
+
type: winogrande
|
64 |
+
metrics:
|
65 |
+
- type: Winogrande (5-shot)
|
66 |
+
value: 83.58
|
67 |
+
name: Winogrande (5-shot)
|
68 |
+
source:
|
69 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
70 |
+
name: Open LLM Leaderboard
|
71 |
+
- task:
|
72 |
+
type: text-generation
|
73 |
+
dataset:
|
74 |
+
name: gsm8k
|
75 |
+
type: gsm8k
|
76 |
+
metrics:
|
77 |
+
- type: GSM8k (5-shot)
|
78 |
+
value: 61.79
|
79 |
+
name: GSM8k (5-shot)
|
80 |
+
source:
|
81 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
82 |
+
name: Open LLM Leaderboard
|
83 |
+
- task:
|
84 |
+
type: text-generation
|
85 |
+
name: Text Generation
|
86 |
+
dataset:
|
87 |
+
name: AI2 Reasoning Challenge (25-Shot)
|
88 |
+
type: ai2_arc
|
89 |
+
config: ARC-Challenge
|
90 |
+
split: test
|
91 |
+
args:
|
92 |
+
num_few_shot: 25
|
93 |
+
metrics:
|
94 |
+
- type: acc_norm
|
95 |
+
value: 71.93
|
96 |
+
name: normalized accuracy
|
97 |
+
source:
|
98 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=gradientai/v-alpha-tross
|
99 |
+
name: Open LLM Leaderboard
|
100 |
+
- task:
|
101 |
+
type: text-generation
|
102 |
+
name: Text Generation
|
103 |
+
dataset:
|
104 |
+
name: HellaSwag (10-Shot)
|
105 |
+
type: hellaswag
|
106 |
+
split: validation
|
107 |
+
args:
|
108 |
+
num_few_shot: 10
|
109 |
+
metrics:
|
110 |
+
- type: acc_norm
|
111 |
+
value: 86.82
|
112 |
+
name: normalized accuracy
|
113 |
+
source:
|
114 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=gradientai/v-alpha-tross
|
115 |
+
name: Open LLM Leaderboard
|
116 |
+
- task:
|
117 |
+
type: text-generation
|
118 |
+
name: Text Generation
|
119 |
+
dataset:
|
120 |
+
name: MMLU (5-Shot)
|
121 |
+
type: cais/mmlu
|
122 |
+
config: all
|
123 |
+
split: test
|
124 |
+
args:
|
125 |
+
num_few_shot: 5
|
126 |
+
metrics:
|
127 |
+
- type: acc
|
128 |
+
value: 70.38
|
129 |
+
name: accuracy
|
130 |
+
source:
|
131 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=gradientai/v-alpha-tross
|
132 |
+
name: Open LLM Leaderboard
|
133 |
+
- task:
|
134 |
+
type: text-generation
|
135 |
+
name: Text Generation
|
136 |
+
dataset:
|
137 |
+
name: TruthfulQA (0-shot)
|
138 |
+
type: truthful_qa
|
139 |
+
config: multiple_choice
|
140 |
+
split: validation
|
141 |
+
args:
|
142 |
+
num_few_shot: 0
|
143 |
+
metrics:
|
144 |
+
- type: mc2
|
145 |
+
value: 65.21
|
146 |
+
source:
|
147 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=gradientai/v-alpha-tross
|
148 |
+
name: Open LLM Leaderboard
|
149 |
+
- task:
|
150 |
+
type: text-generation
|
151 |
+
name: Text Generation
|
152 |
+
dataset:
|
153 |
+
name: Winogrande (5-shot)
|
154 |
+
type: winogrande
|
155 |
+
config: winogrande_xl
|
156 |
+
split: validation
|
157 |
+
args:
|
158 |
+
num_few_shot: 5
|
159 |
+
metrics:
|
160 |
+
- type: acc
|
161 |
+
value: 83.58
|
162 |
+
name: accuracy
|
163 |
+
source:
|
164 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=gradientai/v-alpha-tross
|
165 |
+
name: Open LLM Leaderboard
|
166 |
+
- task:
|
167 |
+
type: text-generation
|
168 |
+
name: Text Generation
|
169 |
+
dataset:
|
170 |
+
name: GSM8k (5-shot)
|
171 |
+
type: gsm8k
|
172 |
+
config: main
|
173 |
+
split: test
|
174 |
+
args:
|
175 |
+
num_few_shot: 5
|
176 |
+
metrics:
|
177 |
+
- type: acc
|
178 |
+
value: 61.79
|
179 |
+
name: accuracy
|
180 |
+
source:
|
181 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=gradientai/v-alpha-tross
|
182 |
+
name: Open LLM Leaderboard
|
183 |
---
|
184 |
|
185 |
**Albatross** is a collection of domain-specific language models for finance applications developed by [Gradient](https://gradient.ai/).
|
|
|
309 |
|
310 |
## Contact Us
|
311 |
|
312 |
+
Drop an email to [[email protected]](mailto:[email protected])
|
313 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
314 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_gradientai__v-alpha-tross)
|
315 |
+
|
316 |
+
| Metric |Value|
|
317 |
+
|---------------------------------|----:|
|
318 |
+
|Avg. |73.28|
|
319 |
+
|AI2 Reasoning Challenge (25-Shot)|71.93|
|
320 |
+
|HellaSwag (10-Shot) |86.82|
|
321 |
+
|MMLU (5-Shot) |70.38|
|
322 |
+
|TruthfulQA (0-shot) |65.21|
|
323 |
+
|Winogrande (5-shot) |83.58|
|
324 |
+
|GSM8k (5-shot) |61.79|
|
325 |
+
|