Hugging Face's logo

axiotic
/
ogma-micro

Sentence Similarity
ONNX
Safetensors
English
ogma
embeddings
dense-retrieval
matryoshka
rag
agents
mteb
semantic-search
text-embeddings
text-embedding
vector-search
document-retrieval
similarity-search
classification
clustering
edge-ai
on-device
local-inference
efficient-ai
rag-retrieval
custom_code
Eval Results (legacy)
Model card Files
xet
 Community
ogma-micro
File size: 4,074 Bytes
6efaeab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "dataset_revision": "3d86128a09e091d6018b6d26cad27f2739fc2db7",
  "task_name": "ImdbClassification",
  "mteb_version": "2.10.12",
  "scores": {
    "test": [
      {
        "scores_per_experiment": [
          {
            "accuracy": 0.72012,
            "f1": 0.719295,
            "f1_weighted": 0.719295,
            "precision": 0.722737,
            "precision_weighted": 0.722737,
            "recall": 0.72012,
            "recall_weighted": 0.72012,
            "ap": 0.664404,
            "ap_weighted": 0.664404
          },
          {
            "accuracy": 0.6878,
            "f1": 0.686915,
            "f1_weighted": 0.686915,
            "precision": 0.689947,
            "precision_weighted": 0.689947,
            "recall": 0.6878,
            "recall_weighted": 0.6878,
            "ap": 0.633365,
            "ap_weighted": 0.633365
          },
          {
            "accuracy": 0.55628,
            "f1": 0.55228,
            "f1_weighted": 0.55228,
            "precision": 0.558366,
            "precision_weighted": 0.558366,
            "recall": 0.55628,
            "recall_weighted": 0.55628,
            "ap": 0.530804,
            "ap_weighted": 0.530804
          },
          {
            "accuracy": 0.68408,
            "f1": 0.681937,
            "f1_weighted": 0.681937,
            "precision": 0.689178,
            "precision_weighted": 0.689178,
            "recall": 0.68408,
            "recall_weighted": 0.68408,
            "ap": 0.621147,
            "ap_weighted": 0.621147
          },
          {
            "accuracy": 0.65156,
            "f1": 0.649208,
            "f1_weighted": 0.649208,
            "precision": 0.655736,
            "precision_weighted": 0.655736,
            "recall": 0.65156,
            "recall_weighted": 0.65156,
            "ap": 0.595518,
            "ap_weighted": 0.595518
          },
          {
            "accuracy": 0.615,
            "f1": 0.609233,
            "f1_weighted": 0.609233,
            "precision": 0.622214,
            "precision_weighted": 0.622214,
            "recall": 0.615,
            "recall_weighted": 0.615,
            "ap": 0.56814,
            "ap_weighted": 0.56814
          },
          {
            "accuracy": 0.62396,
            "f1": 0.623576,
            "f1_weighted": 0.623576,
            "precision": 0.624469,
            "precision_weighted": 0.624469,
            "recall": 0.62396,
            "recall_weighted": 0.62396,
            "ap": 0.576423,
            "ap_weighted": 0.576423
          },
          {
            "accuracy": 0.66244,
            "f1": 0.653612,
            "f1_weighted": 0.653612,
            "precision": 0.680879,
            "precision_weighted": 0.680879,
            "recall": 0.66244,
            "recall_weighted": 0.66244,
            "ap": 0.601221,
            "ap_weighted": 0.601221
          },
          {
            "accuracy": 0.67884,
            "f1": 0.678042,
            "f1_weighted": 0.678042,
            "precision": 0.680632,
            "precision_weighted": 0.680632,
            "recall": 0.67884,
            "recall_weighted": 0.67884,
            "ap": 0.624942,
            "ap_weighted": 0.624942
          },
          {
            "accuracy": 0.64528,
            "f1": 0.643365,
            "f1_weighted": 0.643365,
            "precision": 0.648469,
            "precision_weighted": 0.648469,
            "recall": 0.64528,
            "recall_weighted": 0.64528,
            "ap": 0.591048,
            "ap_weighted": 0.591048
          }
        ],
        "accuracy": 0.652536,
        "f1": 0.649746,
        "f1_weighted": 0.649746,
        "precision": 0.657263,
        "precision_weighted": 0.657263,
        "recall": 0.652536,
        "recall_weighted": 0.652536,
        "ap": 0.600701,
        "ap_weighted": 0.600701,
        "main_score": 0.652536,
        "hf_subset": "default",
        "languages": [
          "eng-Latn"
        ]
      }
    ]
  },
  "evaluation_time": 162.55868816375732,
  "kg_co2_emissions": null,
  "date": null
}