Hugging Face's logo

suneeln-duke
/
t5-summ

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
suneeln-duke commited on
Commit
3121548
•
1 Parent(s): 635af66

End of training

Browse files
Files changed (4) hide show
  1. README.md +94 -0
  2. generation_config.json +6 -0
  3. model.safetensors +1 -1
  4. runs/Apr21_05-53-09_2f0661927201/events.out.tfevents.1713678790.2f0661927201.34.0 +2 -2
README.md ADDED
@@ -0,0 +1,94 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: t5-small
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - rouge
8
+ model-index:
9
+ - name: t5-summ
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # t5-summ
17
+
18
+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 2.0871
21
+ - Rouge1: 0.1961
22
+ - Rouge2: 0.099
23
+ - Rougel: 0.1691
24
+ - Rougelsum: 0.1691
25
+ - Gen Len: 19.0
26
+
27
+ ## Model description
28
+
29
+ More information needed
30
+
31
+ ## Intended uses & limitations
32
+
33
+ More information needed
34
+
35
+ ## Training and evaluation data
36
+
37
+ More information needed
38
+
39
+ ## Training procedure
40
+
41
+ ### Training hyperparameters
42
+
43
+ The following hyperparameters were used during training:
44
+ - learning_rate: 2e-05
45
+ - train_batch_size: 16
46
+ - eval_batch_size: 16
47
+ - seed: 42
48
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
+ - lr_scheduler_type: linear
50
+ - num_epochs: 30
51
+ - mixed_precision_training: Native AMP
52
+
53
+ ### Training results
54
+
55
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
56
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
57
+ | No log | 1.0 | 62 | 2.6868 | 0.1256 | 0.0388 | 0.1039 | 0.104 | 19.0 |
58
+ | No log | 2.0 | 124 | 2.4594 | 0.143 | 0.0547 | 0.1191 | 0.1193 | 19.0 |
59
+ | No log | 3.0 | 186 | 2.3653 | 0.1677 | 0.0718 | 0.1396 | 0.1396 | 19.0 |
60
+ | No log | 4.0 | 248 | 2.3113 | 0.1913 | 0.0917 | 0.1613 | 0.161 | 19.0 |
61
+ | No log | 5.0 | 310 | 2.2735 | 0.196 | 0.0974 | 0.1665 | 0.1663 | 19.0 |
62
+ | No log | 6.0 | 372 | 2.2417 | 0.1972 | 0.0996 | 0.1687 | 0.1686 | 19.0 |
63
+ | No log | 7.0 | 434 | 2.2197 | 0.1985 | 0.1011 | 0.17 | 0.1699 | 19.0 |
64
+ | No log | 8.0 | 496 | 2.2011 | 0.1982 | 0.1012 | 0.1698 | 0.1697 | 19.0 |
65
+ | 2.7383 | 9.0 | 558 | 2.1829 | 0.198 | 0.1 | 0.1698 | 0.1698 | 19.0 |
66
+ | 2.7383 | 10.0 | 620 | 2.1724 | 0.1985 | 0.1011 | 0.1703 | 0.1702 | 19.0 |
67
+ | 2.7383 | 11.0 | 682 | 2.1605 | 0.1991 | 0.1017 | 0.1708 | 0.1709 | 19.0 |
68
+ | 2.7383 | 12.0 | 744 | 2.1489 | 0.1992 | 0.1022 | 0.1717 | 0.1719 | 19.0 |
69
+ | 2.7383 | 13.0 | 806 | 2.1420 | 0.1994 | 0.1028 | 0.1716 | 0.1716 | 19.0 |
70
+ | 2.7383 | 14.0 | 868 | 2.1322 | 0.2003 | 0.1041 | 0.1726 | 0.1726 | 19.0 |
71
+ | 2.7383 | 15.0 | 930 | 2.1265 | 0.2 | 0.103 | 0.172 | 0.1719 | 19.0 |
72
+ | 2.7383 | 16.0 | 992 | 2.1196 | 0.1993 | 0.1014 | 0.1718 | 0.1718 | 19.0 |
73
+ | 2.3748 | 17.0 | 1054 | 2.1165 | 0.1979 | 0.1011 | 0.1709 | 0.1709 | 19.0 |
74
+ | 2.3748 | 18.0 | 1116 | 2.1090 | 0.1985 | 0.1011 | 0.1701 | 0.1703 | 19.0 |
75
+ | 2.3748 | 19.0 | 1178 | 2.1063 | 0.1984 | 0.1014 | 0.1706 | 0.1708 | 19.0 |
76
+ | 2.3748 | 20.0 | 1240 | 2.1031 | 0.1993 | 0.1031 | 0.1714 | 0.1715 | 19.0 |
77
+ | 2.3748 | 21.0 | 1302 | 2.0997 | 0.1982 | 0.1018 | 0.1707 | 0.1708 | 19.0 |
78
+ | 2.3748 | 22.0 | 1364 | 2.0970 | 0.1966 | 0.1002 | 0.1692 | 0.1694 | 19.0 |
79
+ | 2.3748 | 23.0 | 1426 | 2.0951 | 0.1948 | 0.0986 | 0.1681 | 0.1682 | 19.0 |
80
+ | 2.3748 | 24.0 | 1488 | 2.0928 | 0.1959 | 0.0995 | 0.1691 | 0.1693 | 19.0 |
81
+ | 2.2969 | 25.0 | 1550 | 2.0919 | 0.1958 | 0.0995 | 0.1689 | 0.169 | 19.0 |
82
+ | 2.2969 | 26.0 | 1612 | 2.0892 | 0.1955 | 0.099 | 0.1687 | 0.1688 | 19.0 |
83
+ | 2.2969 | 27.0 | 1674 | 2.0883 | 0.196 | 0.0994 | 0.1692 | 0.1692 | 19.0 |
84
+ | 2.2969 | 28.0 | 1736 | 2.0877 | 0.1959 | 0.0994 | 0.1692 | 0.1693 | 19.0 |
85
+ | 2.2969 | 29.0 | 1798 | 2.0871 | 0.196 | 0.0995 | 0.1692 | 0.1692 | 19.0 |
86
+ | 2.2969 | 30.0 | 1860 | 2.0871 | 0.1961 | 0.099 | 0.1691 | 0.1691 | 19.0 |
87
+
88
+
89
+ ### Framework versions
90
+
91
+ - Transformers 4.39.3
92
+ - Pytorch 2.1.2
93
+ - Datasets 2.18.0
94
+ - Tokenizers 0.15.2
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "decoder_start_token_id": 0,
3
+ "eos_token_id": 1,
4
+ "pad_token_id": 0,
5
+ "transformers_version": "4.39.3"
6
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:93d16787e1593fcbcfe46379a3e1f63c41bb2a32a4d1d31a733968d64e3cf640
3
  size 242041896
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97b1fa22883cb94713b5fbcb585acda43bee52e9d31347661719654bd739f708
3
  size 242041896
runs/Apr21_05-53-09_2f0661927201/events.out.tfevents.1713678790.2f0661927201.34.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b3e532aa8de5e10fb9acaa186cde0711b1e6c30b0fd177cef61d4a45ae2e1479
3
- size 18776
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6644d257ab660e89cac708585e09b9966d6236b8ceeccb8b52a68beccc74f242
3
+ size 22280