naveenkarakavalasa commited on
Commit
1227754
1 Parent(s): 4bc3cbb

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +79 -0
README.md ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: t5-small
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - xsum
8
+ metrics:
9
+ - rouge
10
+ model-index:
11
+ - name: t5-small-finetuned-xsum
12
+ results:
13
+ - task:
14
+ name: Sequence-to-sequence Language Modeling
15
+ type: text2text-generation
16
+ dataset:
17
+ name: xsum
18
+ type: xsum
19
+ config: default
20
+ split: validation
21
+ args: default
22
+ metrics:
23
+ - name: Rouge1
24
+ type: rouge
25
+ value: 28.2928
26
+ ---
27
+
28
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
+ should probably proofread and complete it, then remove this comment. -->
30
+
31
+ # t5-small-finetuned-xsum
32
+
33
+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 2.4782
36
+ - Rouge1: 28.2928
37
+ - Rouge2: 7.7409
38
+ - Rougel: 22.2466
39
+ - Rougelsum: 22.2535
40
+ - Gen Len: 18.8222
41
+
42
+ ## Model description
43
+
44
+ More information needed
45
+
46
+ ## Intended uses & limitations
47
+
48
+ More information needed
49
+
50
+ ## Training and evaluation data
51
+
52
+ More information needed
53
+
54
+ ## Training procedure
55
+
56
+ ### Training hyperparameters
57
+
58
+ The following hyperparameters were used during training:
59
+ - learning_rate: 2e-05
60
+ - train_batch_size: 16
61
+ - eval_batch_size: 16
62
+ - seed: 42
63
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
64
+ - lr_scheduler_type: linear
65
+ - num_epochs: 1
66
+
67
+ ### Training results
68
+
69
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
70
+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
71
+ | 2.7159 | 1.0 | 12753 | 2.4782 | 28.2928 | 7.7409 | 22.2466 | 22.2535 | 18.8222 |
72
+
73
+
74
+ ### Framework versions
75
+
76
+ - Transformers 4.31.0
77
+ - Pytorch 1.13.1+cu117
78
+ - Datasets 2.13.1
79
+ - Tokenizers 0.13.3