Hugging Face's logo

JohnLei
/
bert-large-200-ner

Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
 Metrics Community
JohnLei commited on
Commit
1628117
·
verified ·
1 Parent(s): 477efdf

End of training

Browse files
Files changed (5) hide show
  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Apr24_20-28-01_DESKTOP-IMESE8D/events.out.tfevents.1745497683.DESKTOP-IMESE8D.218322.0 +3 -0
  4. tokenizer.json +1 -6
  5. training_args.bin +1 -1
README.md CHANGED
@@ -26,16 +26,16 @@ model-index:
26
  metrics:
27
  - name: Precision
28
  type: precision
29
- value: 0.06935851514164768
30
  - name: Recall
31
  type: recall
32
- value: 0.035846516324469876
33
  - name: F1
34
  type: f1
35
- value: 0.04726506157772107
36
  - name: Accuracy
37
  type: accuracy
38
- value: 0.7959775709668626
39
  ---
40
 
41
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -45,11 +45,11 @@ should probably proofread and complete it, then remove this comment. -->
45
 
46
  This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the conll2003 dataset.
47
  It achieves the following results on the evaluation set:
48
- - Loss: 1.2990
49
- - Precision: 0.0694
50
- - Recall: 0.0358
51
- - F1: 0.0473
52
- - Accuracy: 0.7960
53
 
54
  ## Model description
55
 
@@ -80,9 +80,9 @@ The following hyperparameters were used during training:
80
 
81
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
82
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
83
- | No log | 1.0 | 3 | 1.6411 | 0.0368 | 0.0577 | 0.0450 | 0.7000 |
84
- | No log | 2.0 | 6 | 1.3858 | 0.0587 | 0.0370 | 0.0454 | 0.7865 |
85
- | No log | 3.0 | 9 | 1.2990 | 0.0694 | 0.0358 | 0.0473 | 0.7960 |
86
 
87
 
88
  ### Framework versions
 
26
  metrics:
27
  - name: Precision
28
  type: precision
29
+ value: 0.7622442653440794
30
  - name: Recall
31
  type: recall
32
+ value: 0.8276674520363514
33
  - name: F1
34
  type: f1
35
+ value: 0.7936098111989672
36
  - name: Accuracy
37
  type: accuracy
38
+ value: 0.968322884622873
39
  ---
40
 
41
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
45
 
46
  This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the conll2003 dataset.
47
  It achieves the following results on the evaluation set:
48
+ - Loss: 0.1527
49
+ - Precision: 0.7622
50
+ - Recall: 0.8277
51
+ - F1: 0.7936
52
+ - Accuracy: 0.9683
53
 
54
  ## Model description
55
 
 
80
 
81
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
82
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
83
+ | No log | 1.0 | 100 | 0.3317 | 0.4836 | 0.5545 | 0.5167 | 0.9237 |
84
+ | No log | 2.0 | 200 | 0.1819 | 0.7122 | 0.7763 | 0.7429 | 0.9607 |
85
+ | No log | 3.0 | 300 | 0.1527 | 0.7622 | 0.8277 | 0.7936 | 0.9683 |
86
 
87
 
88
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8242d657e7d44f43e80bc510ae5cb3bf302afc5eb2b38ec7f6957ed1489c672c
3
  size 1330202364
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a6e0ba8c8bbf70d0e8f2b80cecd819f91e007a7349fa9b745d26dab9f0f6047
3
  size 1330202364
runs/Apr24_20-28-01_DESKTOP-IMESE8D/events.out.tfevents.1745497683.DESKTOP-IMESE8D.218322.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:778827a98211f9568ed9342b7a7540c1b8a4ae07bd7556da09ee400929136064
3
+ size 7280
tokenizer.json CHANGED
@@ -1,11 +1,6 @@
1
  {
2
  "version": "1.0",
3
- "truncation": {
4
- "direction": "Right",
5
- "max_length": 512,
6
- "strategy": "LongestFirst",
7
- "stride": 0
8
- },
9
  "padding": null,
10
  "added_tokens": [
11
  {
 
1
  {
2
  "version": "1.0",
3
+ "truncation": null,
 
 
 
 
 
4
  "padding": null,
5
  "added_tokens": [
6
  {
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4322c41272f29732a1d71ddb9e3060e82812481b136fb7a7c96371219d0a8749
3
  size 5304
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92477de0cf47ac1a03d43dff707ac9e73e80040f63c181e9936332693b98a17d
3
  size 5304