Hugging Face's logo

JeswinMS4
/
scam-alert-bert

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
JeswinMS4 commited on
Commit
9dcce5e
•
1 Parent(s): c46678e

Model save

Browse files
Files changed (3) hide show
  1. README.md +99 -0
  2. model.safetensors +1 -1
  3. runs/Jun04_17-09-00_e421750dfc09/events.out.tfevents.1717520941.e421750dfc09.180.0 +2 -2
README.md ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: distilbert-base-uncased
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ - f1
9
+ model-index:
10
+ - name: scam-alert-bert
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # scam-alert-bert
18
+
19
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.1215
22
+ - Accuracy: 0.9861
23
+ - F1: 0.9861
24
+
25
+ ## Model description
26
+
27
+ More information needed
28
+
29
+ ## Intended uses & limitations
30
+
31
+ More information needed
32
+
33
+ ## Training and evaluation data
34
+
35
+ More information needed
36
+
37
+ ## Training procedure
38
+
39
+ ### Training hyperparameters
40
+
41
+ The following hyperparameters were used during training:
42
+ - learning_rate: 2e-05
43
+ - train_batch_size: 8
44
+ - eval_batch_size: 2
45
+ - seed: 42
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: linear
48
+ - num_epochs: 6
49
+
50
+ ### Training results
51
+
52
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
53
+ |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
54
+ | No log | 0.1577 | 100 | 0.0723 | 0.9841 | 0.9841 |
55
+ | No log | 0.3155 | 200 | 0.0520 | 0.9900 | 0.9899 |
56
+ | No log | 0.4732 | 300 | 0.0825 | 0.9821 | 0.9823 |
57
+ | No log | 0.6309 | 400 | 0.0722 | 0.9861 | 0.9857 |
58
+ | No log | 0.7886 | 500 | 0.0521 | 0.9861 | 0.9859 |
59
+ | No log | 0.9464 | 600 | 0.0905 | 0.9761 | 0.9765 |
60
+ | No log | 1.1041 | 700 | 0.0675 | 0.9821 | 0.9822 |
61
+ | No log | 1.2618 | 800 | 0.0661 | 0.9900 | 0.9899 |
62
+ | No log | 1.4196 | 900 | 0.0695 | 0.9861 | 0.9861 |
63
+ | No log | 1.5773 | 1000 | 0.0780 | 0.9880 | 0.9880 |
64
+ | No log | 1.7350 | 1100 | 0.0877 | 0.9861 | 0.9858 |
65
+ | No log | 1.8927 | 1200 | 0.0714 | 0.9880 | 0.9880 |
66
+ | No log | 2.0505 | 1300 | 0.0856 | 0.9841 | 0.9841 |
67
+ | No log | 2.2082 | 1400 | 0.0930 | 0.9841 | 0.9842 |
68
+ | No log | 2.3659 | 1500 | 0.0886 | 0.9861 | 0.9860 |
69
+ | No log | 2.5237 | 1600 | 0.0982 | 0.9861 | 0.9861 |
70
+ | No log | 2.6814 | 1700 | 0.0854 | 0.9861 | 0.9860 |
71
+ | No log | 2.8391 | 1800 | 0.0949 | 0.9861 | 0.9860 |
72
+ | No log | 2.9968 | 1900 | 0.0935 | 0.9880 | 0.9880 |
73
+ | No log | 3.1546 | 2000 | 0.1004 | 0.9861 | 0.9860 |
74
+ | No log | 3.3123 | 2100 | 0.1223 | 0.9801 | 0.9803 |
75
+ | No log | 3.4700 | 2200 | 0.1146 | 0.9861 | 0.9861 |
76
+ | No log | 3.6278 | 2300 | 0.1148 | 0.9861 | 0.9861 |
77
+ | No log | 3.7855 | 2400 | 0.1074 | 0.9861 | 0.9860 |
78
+ | No log | 3.9432 | 2500 | 0.1082 | 0.9861 | 0.9860 |
79
+ | 0.0249 | 4.1009 | 2600 | 0.1272 | 0.9841 | 0.9842 |
80
+ | 0.0249 | 4.2587 | 2700 | 0.1264 | 0.9841 | 0.9842 |
81
+ | 0.0249 | 4.4164 | 2800 | 0.1161 | 0.9861 | 0.9861 |
82
+ | 0.0249 | 4.5741 | 2900 | 0.1242 | 0.9861 | 0.9861 |
83
+ | 0.0249 | 4.7319 | 3000 | 0.1227 | 0.9861 | 0.9861 |
84
+ | 0.0249 | 4.8896 | 3100 | 0.1223 | 0.9861 | 0.9861 |
85
+ | 0.0249 | 5.0473 | 3200 | 0.1207 | 0.9861 | 0.9861 |
86
+ | 0.0249 | 5.2050 | 3300 | 0.1210 | 0.9861 | 0.9861 |
87
+ | 0.0249 | 5.3628 | 3400 | 0.1214 | 0.9861 | 0.9861 |
88
+ | 0.0249 | 5.5205 | 3500 | 0.1214 | 0.9861 | 0.9861 |
89
+ | 0.0249 | 5.6782 | 3600 | 0.1215 | 0.9861 | 0.9861 |
90
+ | 0.0249 | 5.8360 | 3700 | 0.1215 | 0.9861 | 0.9861 |
91
+ | 0.0249 | 5.9937 | 3800 | 0.1215 | 0.9861 | 0.9861 |
92
+
93
+
94
+ ### Framework versions
95
+
96
+ - Transformers 4.41.1
97
+ - Pytorch 2.3.0+cu121
98
+ - Datasets 2.19.2
99
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d524d0369ceb914cc29febdc299e1416d80ab91f41de0c6d268481949c952f59
3
  size 267832560
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:03eb84551428a4d37bd5f3e8ec19b2e2082b91a8712084916565a8c737ef0d09
3
  size 267832560
runs/Jun04_17-09-00_e421750dfc09/events.out.tfevents.1717520941.e421750dfc09.180.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f2b9ae5226aeb23f9e9a4aac1b3f4d8079a54b8c18f95b02ecf4d0872468db4a
3
- size 19048
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fd54427446567647b9e70ca33b12b72adff964c46c506e74c5b11aba0209dc91
3
+ size 19402