debbiesoon commited on
Commit
0ffd2bb
1 Parent(s): 8d4819a

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +77 -0
README.md ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ tags:
4
+ - generated_from_trainer
5
+ datasets:
6
+ - multi_news
7
+ metrics:
8
+ - rouge
9
+ model-index:
10
+ - name: bart_large_summarise_v2
11
+ results:
12
+ - task:
13
+ name: Sequence-to-sequence Language Modeling
14
+ type: text2text-generation
15
+ dataset:
16
+ name: multi_news
17
+ type: multi_news
18
+ config: default
19
+ split: train
20
+ args: default
21
+ metrics:
22
+ - name: Rouge1
23
+ type: rouge
24
+ value: 39.305
25
+ ---
26
+
27
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
28
+ should probably proofread and complete it, then remove this comment. -->
29
+
30
+ # bart_large_summarise_v2
31
+
32
+ This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the multi_news dataset.
33
+ It achieves the following results on the evaluation set:
34
+ - Loss: 4.2988
35
+ - Rouge1: 39.305
36
+ - Rouge2: 13.4171
37
+ - Rougel: 20.4214
38
+ - Rougelsum: 34.971
39
+ - Gen Len: 142.0
40
+
41
+ ## Model description
42
+
43
+ More information needed
44
+
45
+ ## Intended uses & limitations
46
+
47
+ More information needed
48
+
49
+ ## Training and evaluation data
50
+
51
+ More information needed
52
+
53
+ ## Training procedure
54
+
55
+ ### Training hyperparameters
56
+
57
+ The following hyperparameters were used during training:
58
+ - learning_rate: 5e-05
59
+ - train_batch_size: 4
60
+ - eval_batch_size: 4
61
+ - seed: 42
62
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
63
+ - lr_scheduler_type: linear
64
+ - lr_scheduler_warmup_steps: 500
65
+ - num_epochs: 10
66
+ - label_smoothing_factor: 0.1
67
+
68
+ ### Training results
69
+
70
+
71
+
72
+ ### Framework versions
73
+
74
+ - Transformers 4.23.1
75
+ - Pytorch 1.12.1+cu113
76
+ - Datasets 2.6.2.dev0
77
+ - Tokenizers 0.13.1