Hugging Face's logo

facebook
/
bart-large-xsum

Summarization
Transformers
PyTorch
TensorFlow
JAX
Rust
English
bart
text2text-generation
Eval Results
Model card Files Community
11

Add evaluation results on samsum dataset

#1
by autoevaluator HF Staff - opened
base: refs/heads/main
←
from: refs/pr/1
Discussion Files changed
+102
-2
Files changed (1) hide show
  1. README.md +102 -2
README.md CHANGED
@@ -1,11 +1,111 @@
1
  ---
2
  tags:
3
  - summarization
4
-
5
  language:
6
  - en
7
-
8
  license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  ---
10
  ### Bart model finetuned on xsum
11
 
 
1
  ---
2
  tags:
3
  - summarization
 
4
  language:
5
  - en
 
6
  license: mit
7
+ model-index:
8
+ - name: facebook/bart-large-xsum
9
+ results:
10
+ - task:
11
+ type: summarization
12
+ name: Summarization
13
+ dataset:
14
+ name: cnn_dailymail
15
+ type: cnn_dailymail
16
+ config: 3.0.0
17
+ split: test
18
+ metrics:
19
+ - name: ROUGE-1
20
+ type: rouge
21
+ value: 25.2697
22
+ verified: true
23
+ - name: ROUGE-2
24
+ type: rouge
25
+ value: 7.6638
26
+ verified: true
27
+ - name: ROUGE-L
28
+ type: rouge
29
+ value: 17.1808
30
+ verified: true
31
+ - name: ROUGE-LSUM
32
+ type: rouge
33
+ value: 21.7933
34
+ verified: true
35
+ - name: loss
36
+ type: loss
37
+ value: 3.5042972564697266
38
+ verified: true
39
+ - name: gen_len
40
+ type: gen_len
41
+ value: 27.4462
42
+ verified: true
43
+ - task:
44
+ type: summarization
45
+ name: Summarization
46
+ dataset:
47
+ name: xsum
48
+ type: xsum
49
+ config: default
50
+ split: test
51
+ metrics:
52
+ - name: ROUGE-1
53
+ type: rouge
54
+ value: 45.4525
55
+ verified: true
56
+ - name: ROUGE-2
57
+ type: rouge
58
+ value: 22.3455
59
+ verified: true
60
+ - name: ROUGE-L
61
+ type: rouge
62
+ value: 37.2302
63
+ verified: true
64
+ - name: ROUGE-LSUM
65
+ type: rouge
66
+ value: 37.2323
67
+ verified: true
68
+ - name: loss
69
+ type: loss
70
+ value: 2.3128726482391357
71
+ verified: true
72
+ - name: gen_len
73
+ type: gen_len
74
+ value: 25.5435
75
+ verified: true
76
+ - task:
77
+ type: summarization
78
+ name: Summarization
79
+ dataset:
80
+ name: samsum
81
+ type: samsum
82
+ config: samsum
83
+ split: train
84
+ metrics:
85
+ - name: ROUGE-1
86
+ type: rouge
87
+ value: 24.7852
88
+ verified: true
89
+ - name: ROUGE-2
90
+ type: rouge
91
+ value: 5.2533
92
+ verified: true
93
+ - name: ROUGE-L
94
+ type: rouge
95
+ value: 18.6792
96
+ verified: true
97
+ - name: ROUGE-LSUM
98
+ type: rouge
99
+ value: 20.629
100
+ verified: true
101
+ - name: loss
102
+ type: loss
103
+ value: 3.746837854385376
104
+ verified: true
105
+ - name: gen_len
106
+ type: gen_len
107
+ value: 23.1206
108
+ verified: true
109
  ---
110
  ### Bart model finetuned on xsum
111