importsmart commited on
Commit
6c03e95
·
1 Parent(s): 08ce254
README.md ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ tags:
4
+ - generated_from_trainer
5
+ datasets:
6
+ - conll2003
7
+ metrics:
8
+ - precision
9
+ - recall
10
+ - f1
11
+ - accuracy
12
+ model-index:
13
+ - name: bert-to-distilbert-NER
14
+ results:
15
+ - task:
16
+ name: Token Classification
17
+ type: token-classification
18
+ dataset:
19
+ name: conll2003
20
+ type: conll2003
21
+ args: conll2003
22
+ metrics:
23
+ - name: Precision
24
+ type: precision
25
+ value: 0.014488935721812434
26
+ - name: Recall
27
+ type: recall
28
+ value: 0.018512285425782565
29
+ - name: F1
30
+ type: f1
31
+ value: 0.016255356878971478
32
+ - name: Accuracy
33
+ type: accuracy
34
+ value: 0.7597280273150055
35
+ ---
36
+
37
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
38
+ should probably proofread and complete it, then remove this comment. -->
39
+
40
+ # bert-to-distilbert-NER
41
+
42
+ This model is a fine-tuned version of [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER) on the conll2003 dataset.
43
+ It achieves the following results on the evaluation set:
44
+ - Loss: 44.0386
45
+ - Precision: 0.0145
46
+ - Recall: 0.0185
47
+ - F1: 0.0163
48
+ - Accuracy: 0.7597
49
+
50
+ ## Model description
51
+
52
+ More information needed
53
+
54
+ ## Intended uses & limitations
55
+
56
+ More information needed
57
+
58
+ ## Training and evaluation data
59
+
60
+ More information needed
61
+
62
+ ## Training procedure
63
+
64
+ ### Training hyperparameters
65
+
66
+ The following hyperparameters were used during training:
67
+ - learning_rate: 6e-05
68
+ - train_batch_size: 128
69
+ - eval_batch_size: 128
70
+ - seed: 33
71
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
72
+ - lr_scheduler_type: linear
73
+ - num_epochs: 15
74
+ - mixed_precision_training: Native AMP
75
+
76
+ ### Training results
77
+
78
+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
79
+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
80
+ | 201.4012 | 1.0 | 110 | 133.7231 | 0.0153 | 0.0106 | 0.0125 | 0.7539 |
81
+ | 106.9317 | 2.0 | 220 | 99.3629 | 0.0266 | 0.0305 | 0.0284 | 0.7593 |
82
+ | 81.3601 | 3.0 | 330 | 80.3763 | 0.0159 | 0.0214 | 0.0183 | 0.7604 |
83
+ | 63.8325 | 4.0 | 440 | 67.7620 | 0.0179 | 0.0244 | 0.0207 | 0.7599 |
84
+ | 52.0271 | 5.0 | 550 | 59.0806 | 0.0203 | 0.0268 | 0.0231 | 0.7598 |
85
+ | 44.4419 | 6.0 | 660 | 55.3208 | 0.0211 | 0.0278 | 0.0240 | 0.7603 |
86
+ | 39.2351 | 7.0 | 770 | 52.4510 | 0.0170 | 0.0222 | 0.0193 | 0.7598 |
87
+ | 35.3438 | 8.0 | 880 | 50.4576 | 0.0205 | 0.0268 | 0.0232 | 0.7604 |
88
+ | 32.7385 | 9.0 | 990 | 48.3418 | 0.0173 | 0.0227 | 0.0197 | 0.7595 |
89
+ | 30.6531 | 10.0 | 1100 | 46.7304 | 0.0147 | 0.0188 | 0.0165 | 0.7600 |
90
+ | 29.0811 | 11.0 | 1210 | 46.3386 | 0.0151 | 0.0190 | 0.0168 | 0.7599 |
91
+ | 27.9501 | 12.0 | 1320 | 45.4516 | 0.0163 | 0.0204 | 0.0181 | 0.7604 |
92
+ | 26.7452 | 13.0 | 1430 | 44.3425 | 0.0154 | 0.0199 | 0.0173 | 0.7592 |
93
+ | 25.5367 | 14.0 | 1540 | 44.0415 | 0.0146 | 0.0190 | 0.0165 | 0.7594 |
94
+ | 24.5507 | 15.0 | 1650 | 44.0386 | 0.0145 | 0.0185 | 0.0163 | 0.7597 |
95
+
96
+
97
+ ### Framework versions
98
+
99
+ - Transformers 4.19.1
100
+ - Pytorch 1.11.0+cu113
101
+ - Datasets 2.2.1
102
+ - Tokenizers 0.12.1
logs/events.out.tfevents.1652723121.794725525cd1.71.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cbcc2edbcb4e96fea0d1f747c6eb20e28aaaef020d8c2ae88277cba938eeb9f8
3
- size 4494
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3a31bd9996a4aabbe4741d5185f707e4b9b7cc9a8a66e7fb0b519070e2465558
3
+ size 13654
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ee24ba19c0c63ecbe21c28119a1913a7962babda12647117a0f9f19a51e57aac
3
  size 260835441
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce595d0bc7d50e6f89da3fd2c476e0c5917dd750eedccfbfd9c134a26594ef06
3
  size 260835441