Hugging Face's logo

TanmoyeeRoy
/
bert_intent

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
TanmoyeeRoy commited on
Commit
fecfa6e
•
1 Parent(s): 503b607

Model save

Browse files
Files changed (2) hide show
  1. README.md +52 -52
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.0208
21
- - Accuracy: 0.9979
22
 
23
  ## Model description
24
 
@@ -49,56 +49,56 @@ The following hyperparameters were used during training:
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
52
- | 0.3061 | 1.0 | 692 | 0.0394 | 0.9908 |
53
- | 0.0235 | 2.0 | 1384 | 0.0233 | 0.9943 |
54
- | 0.0087 | 3.0 | 2076 | 0.0182 | 0.9943 |
55
- | 0.0061 | 4.0 | 2768 | 0.0128 | 0.9958 |
56
- | 0.0047 | 5.0 | 3460 | 0.0088 | 0.9972 |
57
- | 0.002 | 6.0 | 4152 | 0.0078 | 0.9968 |
58
- | 0.0014 | 7.0 | 4844 | 0.0073 | 0.9982 |
59
- | 0.0006 | 8.0 | 5536 | 0.0065 | 0.9982 |
60
- | 0.0007 | 9.0 | 6228 | 0.0074 | 0.9982 |
61
- | 0.0003 | 10.0 | 6920 | 0.0075 | 0.9979 |
62
- | 0.0002 | 11.0 | 7612 | 0.0082 | 0.9979 |
63
- | 0.0002 | 12.0 | 8304 | 0.0087 | 0.9979 |
64
- | 0.0001 | 13.0 | 8996 | 0.0094 | 0.9979 |
65
- | 0.0001 | 14.0 | 9688 | 0.0097 | 0.9979 |
66
- | 0.0001 | 15.0 | 10380 | 0.0101 | 0.9979 |
67
- | 0.0 | 16.0 | 11072 | 0.0103 | 0.9979 |
68
- | 0.0 | 17.0 | 11764 | 0.0111 | 0.9979 |
69
- | 0.0 | 18.0 | 12456 | 0.0116 | 0.9979 |
70
- | 0.0 | 19.0 | 13148 | 0.0120 | 0.9979 |
71
- | 0.0 | 20.0 | 13840 | 0.0128 | 0.9979 |
72
- | 0.0 | 21.0 | 14532 | 0.0133 | 0.9979 |
73
- | 0.0 | 22.0 | 15224 | 0.0133 | 0.9979 |
74
- | 0.0 | 23.0 | 15916 | 0.0137 | 0.9979 |
75
- | 0.0 | 24.0 | 16608 | 0.0144 | 0.9979 |
76
- | 0.0 | 25.0 | 17300 | 0.0148 | 0.9979 |
77
- | 0.0 | 26.0 | 17992 | 0.0152 | 0.9979 |
78
- | 0.0 | 27.0 | 18684 | 0.0159 | 0.9979 |
79
- | 0.0 | 28.0 | 19376 | 0.0167 | 0.9979 |
80
- | 0.0 | 29.0 | 20068 | 0.0167 | 0.9979 |
81
- | 0.0 | 30.0 | 20760 | 0.0172 | 0.9979 |
82
- | 0.0 | 31.0 | 21452 | 0.0174 | 0.9979 |
83
- | 0.0 | 32.0 | 22144 | 0.0176 | 0.9979 |
84
- | 0.0 | 33.0 | 22836 | 0.0182 | 0.9979 |
85
- | 0.0 | 34.0 | 23528 | 0.0185 | 0.9979 |
86
- | 0.0 | 35.0 | 24220 | 0.0187 | 0.9979 |
87
- | 0.0 | 36.0 | 24912 | 0.0191 | 0.9979 |
88
- | 0.0 | 37.0 | 25604 | 0.0193 | 0.9979 |
89
- | 0.0 | 38.0 | 26296 | 0.0196 | 0.9979 |
90
- | 0.0 | 39.0 | 26988 | 0.0197 | 0.9979 |
91
- | 0.0 | 40.0 | 27680 | 0.0199 | 0.9979 |
92
- | 0.0 | 41.0 | 28372 | 0.0201 | 0.9979 |
93
- | 0.0 | 42.0 | 29064 | 0.0201 | 0.9979 |
94
- | 0.0 | 43.0 | 29756 | 0.0202 | 0.9979 |
95
- | 0.0 | 44.0 | 30448 | 0.0204 | 0.9979 |
96
- | 0.0 | 45.0 | 31140 | 0.0205 | 0.9979 |
97
- | 0.0 | 46.0 | 31832 | 0.0206 | 0.9979 |
98
- | 0.0 | 47.0 | 32524 | 0.0207 | 0.9979 |
99
- | 0.0 | 48.0 | 33216 | 0.0208 | 0.9979 |
100
- | 0.0 | 49.0 | 33908 | 0.0208 | 0.9979 |
101
- | 0.0 | 50.0 | 34600 | 0.0208 | 0.9979 |
102
 
103
 
104
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.0184
21
+ - Accuracy: 0.9975
22
 
23
  ## Model description
24
 
 
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
52
+ | 0.3247 | 1.0 | 693 | 0.0407 | 0.9895 |
53
+ | 0.024 | 2.0 | 1386 | 0.0220 | 0.9951 |
54
+ | 0.0076 | 3.0 | 2079 | 0.0144 | 0.9958 |
55
+ | 0.0048 | 4.0 | 2772 | 0.0111 | 0.9965 |
56
+ | 0.0031 | 5.0 | 3465 | 0.0076 | 0.9975 |
57
+ | 0.0014 | 6.0 | 4158 | 0.0069 | 0.9979 |
58
+ | 0.0009 | 7.0 | 4851 | 0.0073 | 0.9972 |
59
+ | 0.0005 | 8.0 | 5544 | 0.0071 | 0.9972 |
60
+ | 0.0003 | 9.0 | 6237 | 0.0074 | 0.9972 |
61
+ | 0.0002 | 10.0 | 6930 | 0.0073 | 0.9975 |
62
+ | 0.0001 | 11.0 | 7623 | 0.0077 | 0.9972 |
63
+ | 0.0001 | 12.0 | 8316 | 0.0078 | 0.9972 |
64
+ | 0.0001 | 13.0 | 9009 | 0.0082 | 0.9972 |
65
+ | 0.0001 | 14.0 | 9702 | 0.0086 | 0.9972 |
66
+ | 0.0 | 15.0 | 10395 | 0.0087 | 0.9975 |
67
+ | 0.0 | 16.0 | 11088 | 0.0088 | 0.9975 |
68
+ | 0.0 | 17.0 | 11781 | 0.0092 | 0.9975 |
69
+ | 0.0 | 18.0 | 12474 | 0.0101 | 0.9975 |
70
+ | 0.0 | 19.0 | 13167 | 0.0107 | 0.9975 |
71
+ | 0.0 | 20.0 | 13860 | 0.0117 | 0.9972 |
72
+ | 0.0 | 21.0 | 14553 | 0.0114 | 0.9975 |
73
+ | 0.0 | 22.0 | 15246 | 0.0121 | 0.9975 |
74
+ | 0.0 | 23.0 | 15939 | 0.0127 | 0.9972 |
75
+ | 0.0 | 24.0 | 16632 | 0.0128 | 0.9975 |
76
+ | 0.0 | 25.0 | 17325 | 0.0133 | 0.9972 |
77
+ | 0.0 | 26.0 | 18018 | 0.0140 | 0.9975 |
78
+ | 0.0 | 27.0 | 18711 | 0.0140 | 0.9975 |
79
+ | 0.0 | 28.0 | 19404 | 0.0145 | 0.9972 |
80
+ | 0.0 | 29.0 | 20097 | 0.0145 | 0.9972 |
81
+ | 0.0 | 30.0 | 20790 | 0.0150 | 0.9975 |
82
+ | 0.0 | 31.0 | 21483 | 0.0150 | 0.9975 |
83
+ | 0.0 | 32.0 | 22176 | 0.0158 | 0.9972 |
84
+ | 0.0 | 33.0 | 22869 | 0.0160 | 0.9972 |
85
+ | 0.0 | 34.0 | 23562 | 0.0166 | 0.9972 |
86
+ | 0.0 | 35.0 | 24255 | 0.0165 | 0.9972 |
87
+ | 0.0 | 36.0 | 24948 | 0.0169 | 0.9972 |
88
+ | 0.0 | 37.0 | 25641 | 0.0170 | 0.9975 |
89
+ | 0.0 | 38.0 | 26334 | 0.0172 | 0.9975 |
90
+ | 0.0 | 39.0 | 27027 | 0.0175 | 0.9975 |
91
+ | 0.0 | 40.0 | 27720 | 0.0175 | 0.9975 |
92
+ | 0.0 | 41.0 | 28413 | 0.0177 | 0.9975 |
93
+ | 0.0 | 42.0 | 29106 | 0.0179 | 0.9975 |
94
+ | 0.0 | 43.0 | 29799 | 0.0180 | 0.9975 |
95
+ | 0.0 | 44.0 | 30492 | 0.0181 | 0.9975 |
96
+ | 0.0 | 45.0 | 31185 | 0.0182 | 0.9975 |
97
+ | 0.0 | 46.0 | 31878 | 0.0183 | 0.9975 |
98
+ | 0.0 | 47.0 | 32571 | 0.0183 | 0.9975 |
99
+ | 0.0 | 48.0 | 33264 | 0.0183 | 0.9975 |
100
+ | 0.0 | 49.0 | 33957 | 0.0183 | 0.9975 |
101
+ | 0.0 | 50.0 | 34650 | 0.0184 | 0.9975 |
102
 
103
 
104
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2568881d67cf54e524692be5256be4f2dc99be0d32fd90e815a2a780f4c8fb6a
3
  size 437992484
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee5fced666302f96440b4bbf2ab62f641df2dc3b6bb18d7568b5c1ba4280de97
3
  size 437992484