Hugging Face's logo

hebashakeel
/
bert-wellness-classifier

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files
xet
Metrics Community
hebashakeel commited on
Commit
6d69c03
·
verified ·
1 Parent(s): cf4f96c

End of training

Browse files
Files changed (5) hide show
  1. README.md +23 -23
  2. model.safetensors +1 -1
  3. runs/Feb17_08-17-09_d68c514ae1af/events.out.tfevents.1739780230.d68c514ae1af.30.10 +3 -0
  4. runs/Feb17_08-17-09_d68c514ae1af/events.out.tfevents.1739780282.d68c514ae1af.30.11 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -18,21 +18,21 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  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.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 1.0580
22
- - Accuracy: 0.62
23
- - Auc: 0.88
24
- - Precision Class 0: 0.417
25
- - Precision Class 1: 0.8
26
- - Precision Class 2: 0.379
27
- - Precision Class 3: 0.673
28
- - Precision Class 4: 0.836
29
- - Precision Class 5: 0.357
30
  - Recall Class 0: 0.526
31
- - Recall Class 1: 0.87
32
  - Recall Class 2: 0.407
33
- - Recall Class 3: 0.745
34
- - Recall Class 4: 0.719
35
- - Recall Class 5: 0.303
36
 
37
  ## Model description
38
 
@@ -63,16 +63,16 @@ The following hyperparameters were used during training:
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc | Precision Class 0 | Precision Class 1 | Precision Class 2 | Precision Class 3 | Precision Class 4 | Precision Class 5 | Recall Class 0 | Recall Class 1 | Recall Class 2 | Recall Class 3 | Recall Class 4 | Recall Class 5 |
65
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:--------------:|:--------------:|:--------------:|:--------------:|:--------------:|:--------------:|
66
- | 0.6161 | 1.0 | 124 | 1.0082 | 0.608 | 0.886 | 0.452 | 0.684 | 0.45 | 0.778 | 0.706 | 0.345 | 0.56 | 0.65 | 0.409 | 0.833 | 0.716 | 0.278 |
67
- | 0.5787 | 2.0 | 248 | 1.0084 | 0.599 | 0.885 | 0.481 | 0.7 | 0.5 | 0.825 | 0.692 | 0.326 | 0.52 | 0.7 | 0.318 | 0.786 | 0.672 | 0.417 |
68
- | 0.5905 | 3.0 | 372 | 1.0121 | 0.613 | 0.886 | 0.464 | 0.7 | 0.4 | 0.829 | 0.696 | 0.379 | 0.52 | 0.7 | 0.455 | 0.81 | 0.716 | 0.306 |
69
- | 0.5879 | 4.0 | 496 | 1.0145 | 0.637 | 0.888 | 0.619 | 0.824 | 0.375 | 0.766 | 0.707 | 0.357 | 0.52 | 0.7 | 0.409 | 0.857 | 0.791 | 0.278 |
70
- | 0.5653 | 5.0 | 620 | 1.0153 | 0.637 | 0.886 | 0.467 | 0.778 | 0.5 | 0.81 | 0.692 | 0.393 | 0.56 | 0.7 | 0.364 | 0.81 | 0.806 | 0.306 |
71
- | 0.5878 | 6.0 | 744 | 1.0216 | 0.627 | 0.885 | 0.464 | 0.778 | 0.471 | 0.791 | 0.704 | 0.4 | 0.52 | 0.7 | 0.364 | 0.81 | 0.746 | 0.389 |
72
- | 0.557 | 7.0 | 868 | 1.0174 | 0.627 | 0.885 | 0.448 | 0.778 | 0.444 | 0.829 | 0.693 | 0.387 | 0.52 | 0.7 | 0.364 | 0.81 | 0.776 | 0.333 |
73
- | 0.6129 | 8.0 | 992 | 1.0192 | 0.623 | 0.886 | 0.464 | 0.778 | 0.421 | 0.829 | 0.689 | 0.375 | 0.52 | 0.7 | 0.364 | 0.81 | 0.761 | 0.333 |
74
- | 0.6103 | 9.0 | 1116 | 1.0214 | 0.623 | 0.886 | 0.481 | 0.778 | 0.474 | 0.81 | 0.694 | 0.353 | 0.52 | 0.7 | 0.409 | 0.81 | 0.746 | 0.333 |
75
- | 0.6445 | 10.0 | 1240 | 1.0223 | 0.623 | 0.885 | 0.481 | 0.778 | 0.474 | 0.81 | 0.694 | 0.353 | 0.52 | 0.7 | 0.409 | 0.81 | 0.746 | 0.333 |
76
 
77
 
78
  ### Framework versions
 
18
 
19
  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.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 1.1107
22
+ - Accuracy: 0.624
23
+ - Auc: 0.861
24
+ - Precision Class 0: 0.455
25
+ - Precision Class 1: 0.75
26
+ - Precision Class 2: 0.44
27
+ - Precision Class 3: 0.725
28
+ - Precision Class 4: 0.675
29
+ - Precision Class 5: 0.5
30
  - Recall Class 0: 0.526
31
+ - Recall Class 1: 0.522
32
  - Recall Class 2: 0.407
33
+ - Recall Class 3: 0.787
34
+ - Recall Class 4: 0.812
35
+ - Recall Class 5: 0.333
36
 
37
  ## Model description
38
 
 
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc | Precision Class 0 | Precision Class 1 | Precision Class 2 | Precision Class 3 | Precision Class 4 | Precision Class 5 | Recall Class 0 | Recall Class 1 | Recall Class 2 | Recall Class 3 | Recall Class 4 | Recall Class 5 |
65
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:--------------:|:--------------:|:--------------:|:--------------:|:--------------:|:--------------:|
66
+ | 1.6524 | 1.0 | 124 | 1.5268 | 0.434 | 0.755 | 0.406 | 0.0 | 0.0 | 0.697 | 0.384 | 0.0 | 0.52 | 0.0 | 0.0 | 0.548 | 0.836 | 0.0 |
67
+ | 1.4758 | 2.0 | 248 | 1.4056 | 0.472 | 0.79 | 0.382 | 1.0 | 0.0 | 0.646 | 0.442 | 0.222 | 0.52 | 0.05 | 0.0 | 0.738 | 0.791 | 0.056 |
68
+ | 1.3752 | 3.0 | 372 | 1.3204 | 0.533 | 0.818 | 0.448 | 1.0 | 0.556 | 0.744 | 0.466 | 0.333 | 0.52 | 0.25 | 0.455 | 0.69 | 0.821 | 0.028 |
69
+ | 1.2936 | 4.0 | 496 | 1.2519 | 0.552 | 0.837 | 0.444 | 1.0 | 0.467 | 0.597 | 0.556 | 0.25 | 0.48 | 0.25 | 0.318 | 0.881 | 0.821 | 0.028 |
70
+ | 1.2306 | 5.0 | 620 | 1.2009 | 0.547 | 0.848 | 0.464 | 0.75 | 0.429 | 0.773 | 0.505 | 0.286 | 0.52 | 0.3 | 0.136 | 0.81 | 0.836 | 0.111 |
71
+ | 1.1925 | 6.0 | 744 | 1.1624 | 0.59 | 0.858 | 0.444 | 0.833 | 0.462 | 0.81 | 0.593 | 0.424 | 0.48 | 0.25 | 0.273 | 0.81 | 0.806 | 0.389 |
72
+ | 1.1481 | 7.0 | 868 | 1.1378 | 0.58 | 0.862 | 0.462 | 0.857 | 0.438 | 0.791 | 0.579 | 0.36 | 0.48 | 0.3 | 0.318 | 0.81 | 0.821 | 0.25 |
73
+ | 1.1254 | 8.0 | 992 | 1.1256 | 0.585 | 0.865 | 0.48 | 0.875 | 0.381 | 0.795 | 0.582 | 0.391 | 0.48 | 0.35 | 0.364 | 0.833 | 0.791 | 0.25 |
74
+ | 1.102 | 9.0 | 1116 | 1.1147 | 0.585 | 0.867 | 0.48 | 0.875 | 0.381 | 0.795 | 0.582 | 0.391 | 0.48 | 0.35 | 0.364 | 0.833 | 0.791 | 0.25 |
75
+ | 1.1002 | 10.0 | 1240 | 1.1122 | 0.594 | 0.868 | 0.48 | 0.846 | 0.368 | 0.745 | 0.612 | 0.391 | 0.48 | 0.55 | 0.318 | 0.833 | 0.776 | 0.25 |
76
 
77
 
78
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d00eee85ef0be4b57159631cde40e0bcc8fc6cffba02aad8be67ac9d098a8fe4
3
  size 437970952
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:26236cd7b26b5b113eb2318a067fa18f26ff43c04e22ab1f010d17a604546b01
3
  size 437970952
runs/Feb17_08-17-09_d68c514ae1af/events.out.tfevents.1739780230.d68c514ae1af.30.10 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ac188867892ce26a1f22b185e57b077c56c26a28d9df13c0eaf313561ab7437
3
+ size 18631
runs/Feb17_08-17-09_d68c514ae1af/events.out.tfevents.1739780282.d68c514ae1af.30.11 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0fa0f636218f4866466c0f7418c1a30e033a012c9108541c23dd05243051edf
3
+ size 1172
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:915f8ae845743893ad5d8a55c7fa5eaaad2287796b3050b6a5e20152cdb6afeb
3
  size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bd9c323451537e45144d6ab61af5919901c311b288a1a83717471ac3798098d2
3
  size 5240