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AuroraCap-7B-VID-xtuner

Video-Text-to-Text
Safetensors
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Eval Results
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@@ -15,95 +15,96 @@ model-index:
15
  type: VDC
16
  name: VDC
17
  metrics:
18
- - type: Acc
19
- value: 38.21
20
- name: VDCScore
21
- - type: Acc
22
- value: 48.33
23
- name: VDD
24
- - type: cider
25
- value: 9.51
26
- - type: bleu
27
- value: 30.90
28
- name: bleu@1
29
- - type: bleu
30
- value: 4.06
31
- name: bleu@4
32
- - type: meteor
33
- value: 19.09
34
- - type: rouge
35
- value: 21.58
36
- name: rouge-l
37
  - task:
38
  type: video caption
39
  dataset:
40
  type: MSR-VTT
41
  name: NSR-VTT
42
  metrics:
43
- - type: cider
44
- value: 33.1
45
- - type: bleu
46
- value: 58.6
47
- name: bleu@1
48
- - type: bleu
49
- value: 21.0
50
- name: bleu@4
51
- - type: meteor
52
- value: 23.9
53
- - type: rouge
54
- value: 49.5
55
- name: rouge-l
56
  - task:
57
  type: video caption
58
  dataset:
59
  type: VATEX
60
  name: VATEX
61
  metrics:
62
- - type: cider
63
- value: 33.8
64
- - type: bleu
65
- value: 57.1
66
- name: bleu@1
67
- - type: bleu
68
- value: 18.4
69
- name: bleu@4
70
- - type: meteor
71
- value: 19.0
72
- - type: rouge
73
- value: 40.8
74
- name: rouge-l
75
  - task:
76
  type: video question anwering
77
  dataset:
78
  type: ActivityNet
79
  name: ActivityNet
80
  metrics:
81
- - type: Acc
82
- value: 61.8
83
  - task:
84
  type: video question anwering
85
  dataset:
86
  type: MSVD
87
  name: MSVD
88
  metrics:
89
- - type: Acc
90
- value: 62.6
91
  - task:
92
  type: video question anwering
93
  dataset:
94
  type: MSR-VTT
95
  name: MSR-VTT
96
  metrics:
97
- - type: Acc
98
- value: 43.5
99
  - task:
100
  type: video question anwering
101
  dataset:
102
  type: iVQA
103
  name: iVQA
104
  metrics:
105
- - type: Acc
106
- value: 55.2
 
107
  ---
108
 
109
  <img src="assets/teaser.png" align="center">
 
15
  type: VDC
16
  name: VDC
17
  metrics:
18
+ - type: Acc
19
+ value: 38.21
20
+ name: VDCScore
21
+ - type: Acc
22
+ value: 48.33
23
+ name: VDD
24
+ - type: cider
25
+ value: 9.51
26
+ - type: bleu
27
+ value: 30.9
28
+ name: bleu@1
29
+ - type: bleu
30
+ value: 4.06
31
+ name: bleu@4
32
+ - type: meteor
33
+ value: 19.09
34
+ - type: rouge
35
+ value: 21.58
36
+ name: rouge-l
37
  - task:
38
  type: video caption
39
  dataset:
40
  type: MSR-VTT
41
  name: NSR-VTT
42
  metrics:
43
+ - type: cider
44
+ value: 33.1
45
+ - type: bleu
46
+ value: 58.6
47
+ name: bleu@1
48
+ - type: bleu
49
+ value: 21
50
+ name: bleu@4
51
+ - type: meteor
52
+ value: 23.9
53
+ - type: rouge
54
+ value: 49.5
55
+ name: rouge-l
56
  - task:
57
  type: video caption
58
  dataset:
59
  type: VATEX
60
  name: VATEX
61
  metrics:
62
+ - type: cider
63
+ value: 33.8
64
+ - type: bleu
65
+ value: 57.1
66
+ name: bleu@1
67
+ - type: bleu
68
+ value: 18.4
69
+ name: bleu@4
70
+ - type: meteor
71
+ value: 19
72
+ - type: rouge
73
+ value: 40.8
74
+ name: rouge-l
75
  - task:
76
  type: video question anwering
77
  dataset:
78
  type: ActivityNet
79
  name: ActivityNet
80
  metrics:
81
+ - type: Acc
82
+ value: 61.8
83
  - task:
84
  type: video question anwering
85
  dataset:
86
  type: MSVD
87
  name: MSVD
88
  metrics:
89
+ - type: Acc
90
+ value: 62.6
91
  - task:
92
  type: video question anwering
93
  dataset:
94
  type: MSR-VTT
95
  name: MSR-VTT
96
  metrics:
97
+ - type: Acc
98
+ value: 43.5
99
  - task:
100
  type: video question anwering
101
  dataset:
102
  type: iVQA
103
  name: iVQA
104
  metrics:
105
+ - type: Acc
106
+ value: 55.2
107
+ pipeline_tag: video-text-to-text
108
  ---
109
 
110
  <img src="assets/teaser.png" align="center">