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
589f8a1
•
1 Parent(s): 091b413

Model save

Browse files
Files changed (2) hide show
  1. README.md +109 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,109 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: google-bert/bert-base-uncased
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: bert_intent
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
+ # bert_intent
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: 0.0279
21
+ - Accuracy: 0.9972
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 1e-05
41
+ - train_batch_size: 16
42
+ - eval_batch_size: 16
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 50
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
52
+ | 0.2614 | 1.0 | 691 | 0.0466 | 0.9819 |
53
+ | 0.0208 | 2.0 | 1382 | 0.0180 | 0.9954 |
54
+ | 0.0075 | 3.0 | 2073 | 0.0126 | 0.9964 |
55
+ | 0.0055 | 4.0 | 2764 | 0.0093 | 0.9972 |
56
+ | 0.0036 | 5.0 | 3455 | 0.0084 | 0.9972 |
57
+ | 0.0016 | 6.0 | 4146 | 0.0094 | 0.9972 |
58
+ | 0.0011 | 7.0 | 4837 | 0.0104 | 0.9968 |
59
+ | 0.0005 | 8.0 | 5528 | 0.0107 | 0.9968 |
60
+ | 0.0004 | 9.0 | 6219 | 0.0109 | 0.9972 |
61
+ | 0.0003 | 10.0 | 6910 | 0.0117 | 0.9968 |
62
+ | 0.0002 | 11.0 | 7601 | 0.0121 | 0.9968 |
63
+ | 0.0002 | 12.0 | 8292 | 0.0128 | 0.9968 |
64
+ | 0.0001 | 13.0 | 8983 | 0.0137 | 0.9968 |
65
+ | 0.0001 | 14.0 | 9674 | 0.0143 | 0.9972 |
66
+ | 0.0001 | 15.0 | 10365 | 0.0144 | 0.9968 |
67
+ | 0.0 | 16.0 | 11056 | 0.0153 | 0.9968 |
68
+ | 0.0 | 17.0 | 11747 | 0.0156 | 0.9968 |
69
+ | 0.0 | 18.0 | 12438 | 0.0166 | 0.9972 |
70
+ | 0.0 | 19.0 | 13129 | 0.0174 | 0.9968 |
71
+ | 0.0 | 20.0 | 13820 | 0.0178 | 0.9968 |
72
+ | 0.0 | 21.0 | 14511 | 0.0190 | 0.9968 |
73
+ | 0.0 | 22.0 | 15202 | 0.0191 | 0.9968 |
74
+ | 0.0 | 23.0 | 15893 | 0.0198 | 0.9968 |
75
+ | 0.0 | 24.0 | 16584 | 0.0200 | 0.9968 |
76
+ | 0.0 | 25.0 | 17275 | 0.0203 | 0.9972 |
77
+ | 0.0 | 26.0 | 17966 | 0.0211 | 0.9968 |
78
+ | 0.0 | 27.0 | 18657 | 0.0216 | 0.9968 |
79
+ | 0.0 | 28.0 | 19348 | 0.0222 | 0.9968 |
80
+ | 0.0 | 29.0 | 20039 | 0.0228 | 0.9968 |
81
+ | 0.0 | 30.0 | 20730 | 0.0233 | 0.9968 |
82
+ | 0.0 | 31.0 | 21421 | 0.0237 | 0.9968 |
83
+ | 0.0 | 32.0 | 22112 | 0.0240 | 0.9972 |
84
+ | 0.0 | 33.0 | 22803 | 0.0250 | 0.9968 |
85
+ | 0.0 | 34.0 | 23494 | 0.0252 | 0.9968 |
86
+ | 0.0 | 35.0 | 24185 | 0.0255 | 0.9968 |
87
+ | 0.0 | 36.0 | 24876 | 0.0258 | 0.9968 |
88
+ | 0.0 | 37.0 | 25567 | 0.0261 | 0.9968 |
89
+ | 0.0 | 38.0 | 26258 | 0.0265 | 0.9972 |
90
+ | 0.0 | 39.0 | 26949 | 0.0267 | 0.9972 |
91
+ | 0.0 | 40.0 | 27640 | 0.0269 | 0.9972 |
92
+ | 0.0 | 41.0 | 28331 | 0.0270 | 0.9972 |
93
+ | 0.0 | 42.0 | 29022 | 0.0271 | 0.9972 |
94
+ | 0.0 | 43.0 | 29713 | 0.0273 | 0.9972 |
95
+ | 0.0 | 44.0 | 30404 | 0.0275 | 0.9972 |
96
+ | 0.0 | 45.0 | 31095 | 0.0276 | 0.9972 |
97
+ | 0.0 | 46.0 | 31786 | 0.0277 | 0.9972 |
98
+ | 0.0 | 47.0 | 32477 | 0.0278 | 0.9972 |
99
+ | 0.0 | 48.0 | 33168 | 0.0279 | 0.9972 |
100
+ | 0.0 | 49.0 | 33859 | 0.0279 | 0.9972 |
101
+ | 0.0 | 50.0 | 34550 | 0.0279 | 0.9972 |
102
+
103
+
104
+ ### Framework versions
105
+
106
+ - Transformers 4.41.2
107
+ - Pytorch 2.3.1
108
+ - Datasets 2.19.2
109
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:02d996565e490a2f93ca082fefda43f101b1de7846f774494e29509d77720f5c
3
  size 437992484
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bd703e440c4713c861fe348da7ed2e4cbe92c36fa54d3d1224ab78311d357921
3
  size 437992484