Hugging Face's logo

Kriyans
/
Bert-NER

Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
28
Kriyans commited on
Commit
9a841a5
·
1 Parent(s): eba10c5

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +8 -53
README.md CHANGED
@@ -72,62 +72,17 @@ The following hyperparameters were used during training:
72
  - seed: 42
73
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
74
  - lr_scheduler_type: linear
75
- - num_epochs: 50
76
 
77
  ### Training results
78
 
79
- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
80
- |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
81
- | No log | 1.0 | 344 | 0.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 |
82
- | 0.0027 | 2.0 | 688 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
83
- | 0.0019 | 3.0 | 1032 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
84
- | 0.0019 | 4.0 | 1376 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
85
- | 0.0021 | 5.0 | 1720 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
86
- | 0.0016 | 6.0 | 2064 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
87
- | 0.0016 | 7.0 | 2408 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
88
- | 0.0007 | 8.0 | 2752 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
89
- | 0.001 | 9.0 | 3096 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
90
- | 0.001 | 10.0 | 3440 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
91
- | 0.001 | 11.0 | 3784 | 0.0001 | 1.0000 | 1.0000 | 1.0000 | 1.0000 |
92
- | 0.0008 | 12.0 | 4128 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
93
- | 0.0008 | 13.0 | 4472 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
94
- | 0.0007 | 14.0 | 4816 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
95
- | 0.0009 | 15.0 | 5160 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
96
- | 0.0006 | 16.0 | 5504 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
97
- | 0.0006 | 17.0 | 5848 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
98
- | 0.0003 | 18.0 | 6192 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
99
- | 0.0006 | 19.0 | 6536 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
100
- | 0.0006 | 20.0 | 6880 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
101
- | 0.0007 | 21.0 | 7224 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
102
- | 0.0007 | 22.0 | 7568 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
103
- | 0.0007 | 23.0 | 7912 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
104
- | 0.0005 | 24.0 | 8256 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
105
- | 0.0001 | 25.0 | 8600 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
106
- | 0.0001 | 26.0 | 8944 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
107
- | 0.0002 | 27.0 | 9288 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
108
- | 0.0003 | 28.0 | 9632 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
109
- | 0.0003 | 29.0 | 9976 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
110
- | 0.0001 | 30.0 | 10320 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
111
- | 0.0 | 31.0 | 10664 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
112
- | 0.0001 | 32.0 | 11008 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
113
- | 0.0001 | 33.0 | 11352 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
114
- | 0.0001 | 34.0 | 11696 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
115
- | 0.0003 | 35.0 | 12040 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
116
- | 0.0003 | 36.0 | 12384 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
117
- | 0.0001 | 37.0 | 12728 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
118
- | 0.0001 | 38.0 | 13072 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
119
- | 0.0001 | 39.0 | 13416 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
120
- | 0.0002 | 40.0 | 13760 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
121
- | 0.0 | 41.0 | 14104 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
122
- | 0.0 | 42.0 | 14448 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
123
- | 0.0 | 43.0 | 14792 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
124
- | 0.0 | 44.0 | 15136 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
125
- | 0.0 | 45.0 | 15480 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
126
- | 0.0 | 46.0 | 15824 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
127
- | 0.0001 | 47.0 | 16168 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
128
- | 0.0 | 48.0 | 16512 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
129
- | 0.0 | 49.0 | 16856 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
130
- | 0.0 | 50.0 | 17200 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
131
 
132
 
133
  ### Framework versions
 
72
  - seed: 42
73
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
74
  - lr_scheduler_type: linear
75
+ - num_epochs: 5
76
 
77
  ### Training results
78
 
79
+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
80
+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
81
+ | No log | 1.0 | 344 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
82
+ | 0.0009 | 2.0 | 688 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
83
+ | 0.0005 | 3.0 | 1032 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
84
+ | 0.0005 | 4.0 | 1376 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
85
+ | 0.0 | 5.0 | 1720 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
86
 
87
 
88
  ### Framework versions