Hugging Face's logo

ncardus
/
BertSeq

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
ncardus commited on
Commit
c22125c
•
1 Parent(s): f92d529

ncardus/SeqClassifier

Browse files
Files changed (2) hide show
  1. README.md +19 -19
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model was trained from scratch on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.7534
22
- - Accuracy: 0.2
23
- - F1: 0.1667
24
- - Precision: 0.1
25
  - Recall: 0.5
26
 
27
  ## Model description
@@ -53,21 +53,21 @@ The following hyperparameters were used during training:
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
55
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
56
- | No log | 0.33 | 1 | 0.6877 | 0.8 | 0.4444 | 0.4 | 0.5 |
57
- | No log | 0.67 | 2 | 0.6968 | 0.2 | 0.1667 | 0.1 | 0.5 |
58
- | No log | 1.0 | 3 | 0.7052 | 0.2 | 0.1667 | 0.1 | 0.5 |
59
- | No log | 1.33 | 4 | 0.7133 | 0.2 | 0.1667 | 0.1 | 0.5 |
60
- | 0.6917 | 1.67 | 5 | 0.7206 | 0.2 | 0.1667 | 0.1 | 0.5 |
61
- | 0.6917 | 2.0 | 6 | 0.7263 | 0.2 | 0.1667 | 0.1 | 0.5 |
62
- | 0.6917 | 2.33 | 7 | 0.7318 | 0.2 | 0.1667 | 0.1 | 0.5 |
63
- | 0.6917 | 2.67 | 8 | 0.7369 | 0.2 | 0.1667 | 0.1 | 0.5 |
64
- | 0.6917 | 3.0 | 9 | 0.7409 | 0.2 | 0.1667 | 0.1 | 0.5 |
65
- | 0.6805 | 3.33 | 10 | 0.7444 | 0.2 | 0.1667 | 0.1 | 0.5 |
66
- | 0.6805 | 3.67 | 11 | 0.7475 | 0.2 | 0.1667 | 0.1 | 0.5 |
67
- | 0.6805 | 4.0 | 12 | 0.7499 | 0.2 | 0.1667 | 0.1 | 0.5 |
68
- | 0.6805 | 4.33 | 13 | 0.7518 | 0.2 | 0.1667 | 0.1 | 0.5 |
69
- | 0.6805 | 4.67 | 14 | 0.7529 | 0.2 | 0.1667 | 0.1 | 0.5 |
70
- | 0.6713 | 5.0 | 15 | 0.7534 | 0.2 | 0.1667 | 0.1 | 0.5 |
71
 
72
 
73
  ### Framework versions
 
18
 
19
  This model was trained from scratch on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.6785
22
+ - Accuracy: 0.6
23
+ - F1: 0.3750
24
+ - Precision: 0.3
25
  - Recall: 0.5
26
 
27
  ## Model description
 
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
55
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
56
+ | No log | 0.33 | 1 | 0.6900 | 0.6 | 0.3750 | 0.3 | 0.5 |
57
+ | No log | 0.67 | 2 | 0.6877 | 0.6 | 0.3750 | 0.3 | 0.5 |
58
+ | No log | 1.0 | 3 | 0.6856 | 0.6 | 0.3750 | 0.3 | 0.5 |
59
+ | No log | 1.33 | 4 | 0.6843 | 0.6 | 0.3750 | 0.3 | 0.5 |
60
+ | 0.6884 | 1.67 | 5 | 0.6829 | 0.6 | 0.3750 | 0.3 | 0.5 |
61
+ | 0.6884 | 2.0 | 6 | 0.6818 | 0.6 | 0.3750 | 0.3 | 0.5 |
62
+ | 0.6884 | 2.33 | 7 | 0.6813 | 0.6 | 0.3750 | 0.3 | 0.5 |
63
+ | 0.6884 | 2.67 | 8 | 0.6806 | 0.6 | 0.3750 | 0.3 | 0.5 |
64
+ | 0.6884 | 3.0 | 9 | 0.6801 | 0.6 | 0.3750 | 0.3 | 0.5 |
65
+ | 0.6811 | 3.33 | 10 | 0.6796 | 0.6 | 0.3750 | 0.3 | 0.5 |
66
+ | 0.6811 | 3.67 | 11 | 0.6792 | 0.6 | 0.3750 | 0.3 | 0.5 |
67
+ | 0.6811 | 4.0 | 12 | 0.6789 | 0.6 | 0.3750 | 0.3 | 0.5 |
68
+ | 0.6811 | 4.33 | 13 | 0.6787 | 0.6 | 0.3750 | 0.3 | 0.5 |
69
+ | 0.6811 | 4.67 | 14 | 0.6786 | 0.6 | 0.3750 | 0.3 | 0.5 |
70
+ | 0.6821 | 5.0 | 15 | 0.6785 | 0.6 | 0.3750 | 0.3 | 0.5 |
71
 
72
 
73
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8d50e2c76a92bc4a9bcec1ccfea49483b36fdd44aed399c6911efe5a68920104
3
  size 11033176
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:764a568cdf3aca6946ac08f202ecd21e84660fe87203e283f06554ddd1573251
3
  size 11033176