Hugging Face's logo

tahreema-r-z
/
my_awesome_billsum_model

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
Eval Results
Inference Endpoints
text-generation-inference
Model card Files Community
tahreema-r-z commited on
Commit
0a375ee
•
1 Parent(s): 913fe35

End of training

Browse files
Files changed (3) hide show
  1. README.md +18 -18
  2. generation_config.json +1 -1
  3. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Rouge1
24
  type: rouge
25
- value: 0.2014
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,11 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 2.2453
36
- - Rouge1: 0.2014
37
- - Rouge2: 0.1012
38
- - Rougel: 0.1696
39
- - Rougelsum: 0.1698
40
  - Gen Len: 19.0
41
 
42
  ## Model description
@@ -68,21 +68,21 @@ The following hyperparameters were used during training:
68
 
69
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
70
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
71
- | No log | 1.0 | 124 | 2.5661 | 0.1328 | 0.0422 | 0.1082 | 0.1083 | 19.0 |
72
- | No log | 2.0 | 248 | 2.4215 | 0.1686 | 0.0704 | 0.139 | 0.1391 | 19.0 |
73
- | No log | 3.0 | 372 | 2.3551 | 0.1994 | 0.0994 | 0.1669 | 0.1667 | 19.0 |
74
- | No log | 4.0 | 496 | 2.3135 | 0.2021 | 0.1018 | 0.1701 | 0.17 | 19.0 |
75
- | 2.7983 | 5.0 | 620 | 2.2911 | 0.2019 | 0.103 | 0.1703 | 0.1705 | 19.0 |
76
- | 2.7983 | 6.0 | 744 | 2.2719 | 0.2015 | 0.1023 | 0.1707 | 0.1708 | 19.0 |
77
- | 2.7983 | 7.0 | 868 | 2.2597 | 0.2008 | 0.1013 | 0.1691 | 0.1693 | 19.0 |
78
- | 2.7983 | 8.0 | 992 | 2.2515 | 0.2016 | 0.1016 | 0.1695 | 0.1697 | 19.0 |
79
- | 2.4664 | 9.0 | 1116 | 2.2467 | 0.2017 | 0.1016 | 0.1696 | 0.1698 | 19.0 |
80
- | 2.4664 | 10.0 | 1240 | 2.2453 | 0.2014 | 0.1012 | 0.1696 | 0.1698 | 19.0 |
81
 
82
 
83
  ### Framework versions
84
 
85
- - Transformers 4.33.3
86
  - Pytorch 2.0.1+cu118
87
  - Datasets 2.14.5
88
- - Tokenizers 0.13.3
 
22
  metrics:
23
  - name: Rouge1
24
  type: rouge
25
+ value: 0.2001
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 2.1970
36
+ - Rouge1: 0.2001
37
+ - Rouge2: 0.1053
38
+ - Rougel: 0.1716
39
+ - Rougelsum: 0.1717
40
  - Gen Len: 19.0
41
 
42
  ## Model description
 
68
 
69
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
70
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
71
+ | No log | 1.0 | 124 | 2.5355 | 0.1414 | 0.0544 | 0.1183 | 0.1182 | 19.0 |
72
+ | No log | 2.0 | 248 | 2.3807 | 0.1674 | 0.0738 | 0.1416 | 0.1412 | 19.0 |
73
+ | No log | 3.0 | 372 | 2.3128 | 0.1977 | 0.1007 | 0.1695 | 0.1697 | 19.0 |
74
+ | No log | 4.0 | 496 | 2.2729 | 0.1987 | 0.1008 | 0.1695 | 0.1694 | 19.0 |
75
+ | 2.8078 | 5.0 | 620 | 2.2460 | 0.1997 | 0.1025 | 0.1707 | 0.1707 | 19.0 |
76
+ | 2.8078 | 6.0 | 744 | 2.2251 | 0.2011 | 0.1034 | 0.1715 | 0.1714 | 19.0 |
77
+ | 2.8078 | 7.0 | 868 | 2.2133 | 0.2016 | 0.1049 | 0.172 | 0.172 | 19.0 |
78
+ | 2.8078 | 8.0 | 992 | 2.2035 | 0.2018 | 0.1062 | 0.1723 | 0.1725 | 19.0 |
79
+ | 2.4762 | 9.0 | 1116 | 2.1985 | 0.2008 | 0.1059 | 0.172 | 0.1723 | 19.0 |
80
+ | 2.4762 | 10.0 | 1240 | 2.1970 | 0.2001 | 0.1053 | 0.1716 | 0.1717 | 19.0 |
81
 
82
 
83
  ### Framework versions
84
 
85
+ - Transformers 4.34.0
86
  - Pytorch 2.0.1+cu118
87
  - Datasets 2.14.5
88
+ - Tokenizers 0.14.1
generation_config.json CHANGED
@@ -2,5 +2,5 @@
2
  "decoder_start_token_id": 0,
3
  "eos_token_id": 1,
4
  "pad_token_id": 0,
5
- "transformers_version": "4.33.3"
6
  }
 
2
  "decoder_start_token_id": 0,
3
  "eos_token_id": 1,
4
  "pad_token_id": 0,
5
+ "transformers_version": "4.34.0"
6
  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e487dbe27a72610917ee376e32914ba2aabfd2623f734d80ef9b3d532c1495e0
3
  size 242071641
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:416806ccbfd149fa267cd5569100739a98c27c3aaa0428f94aaf60c9e9983d38
3
  size 242071641