Hugging Face's logo

ativilambit
/
results

Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files
xet
 Community
6
ativilambit commited on
Commit
d02f7b3
·
1 Parent(s): f84f829

ativilambit/neu-faq

Browse files
Files changed (3) hide show
  1. README.md +15 -15
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.8601
21
- - Rouge1: 0.2061
22
- - Rouge2: 0.1141
23
- - Rougel: 0.1781
24
- - Rougelsum: 0.1947
25
 
26
  ## Model description
27
 
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
54
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
55
- | No log | 1.0 | 17 | 1.0118 | 0.1983 | 0.1119 | 0.1688 | 0.1818 |
56
- | No log | 2.0 | 34 | 0.9766 | 0.2073 | 0.1290 | 0.1859 | 0.1993 |
57
- | No log | 3.0 | 51 | 0.9211 | 0.2097 | 0.1224 | 0.1853 | 0.1983 |
58
- | No log | 4.0 | 68 | 0.8961 | 0.2122 | 0.1165 | 0.1845 | 0.1991 |
59
- | No log | 5.0 | 85 | 0.8820 | 0.2107 | 0.1192 | 0.1850 | 0.2016 |
60
- | No log | 6.0 | 102 | 0.8734 | 0.2101 | 0.1173 | 0.1817 | 0.1999 |
61
- | No log | 7.0 | 119 | 0.8688 | 0.2056 | 0.1114 | 0.1785 | 0.1920 |
62
- | No log | 8.0 | 136 | 0.8639 | 0.2057 | 0.1135 | 0.1763 | 0.1931 |
63
- | No log | 9.0 | 153 | 0.8615 | 0.2084 | 0.1173 | 0.1799 | 0.1956 |
64
- | No log | 10.0 | 170 | 0.8601 | 0.2061 | 0.1141 | 0.1781 | 0.1947 |
65
 
66
 
67
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.8324
21
+ - Rouge1: 0.2155
22
+ - Rouge2: 0.1170
23
+ - Rougel: 0.1827
24
+ - Rougelsum: 0.2039
25
 
26
  ## Model description
27
 
 
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
54
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
55
+ | No log | 1.0 | 17 | 0.9685 | 0.2008 | 0.1092 | 0.1756 | 0.1881 |
56
+ | No log | 2.0 | 34 | 1.0002 | 0.1939 | 0.0984 | 0.1655 | 0.1823 |
57
+ | No log | 3.0 | 51 | 0.8892 | 0.1916 | 0.1092 | 0.1691 | 0.1829 |
58
+ | No log | 4.0 | 68 | 0.8667 | 0.1964 | 0.1076 | 0.1704 | 0.1877 |
59
+ | No log | 5.0 | 85 | 0.8601 | 0.2088 | 0.1076 | 0.1764 | 0.1971 |
60
+ | No log | 6.0 | 102 | 0.8587 | 0.2105 | 0.1120 | 0.1803 | 0.1997 |
61
+ | No log | 7.0 | 119 | 0.8526 | 0.2092 | 0.1105 | 0.1788 | 0.1996 |
62
+ | No log | 8.0 | 136 | 0.8432 | 0.2131 | 0.1149 | 0.1809 | 0.2019 |
63
+ | No log | 9.0 | 153 | 0.8370 | 0.2155 | 0.1170 | 0.1827 | 0.2039 |
64
+ | No log | 10.0 | 170 | 0.8324 | 0.2155 | 0.1170 | 0.1827 | 0.2039 |
65
 
66
 
67
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9d084964e34f34955dac159fd111e235017e50678ddbe3f597c05460e1f40491
3
  size 990404917
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab67079a161038bd2df679c7298582478d4177f4e2ea4121a9f5ff86917078d9
3
  size 990404917
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:159a9b1c96b98a38f3439025440c5b108ec904e632bda6b04bdfa4c0d57c5d9a
3
  size 4155
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:715b80d2f1c7d803fb11fc7893a9e14aecffd986f80ba93a662a5279981de49f
3
  size 4155