Hugging Face's logo

Nathali99
/
bert-finetuned-ner4

Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
Nathali99 commited on
Commit
9fe15e8
•
1 Parent(s): 8aec6c8

Training complete

Browse files
Files changed (2) hide show
  1. README.md +18 -18
  2. runs/Jul31_10-57-06_a036f72ba1ed/events.out.tfevents.1722426965.a036f72ba1ed.3098.1 +3 -0
README.md CHANGED
@@ -1,13 +1,13 @@
1
  ---
2
- base_model: bert-base-cased
3
  license: apache-2.0
 
 
 
4
  metrics:
5
  - precision
6
  - recall
7
  - f1
8
  - accuracy
9
- tags:
10
- - generated_from_trainer
11
  model-index:
12
  - name: bert-finetuned-ner4
13
  results: []
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.1642
24
- - Precision: 0.3590
25
- - Recall: 0.5245
26
- - F1: 0.4262
27
- - Accuracy: 0.9491
28
 
29
  ## Model description
30
 
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
- | 0.2799 | 1.0 | 2489 | 0.2542 | 0.1535 | 0.3218 | 0.2078 | 0.9191 |
59
- | 0.2266 | 2.0 | 4978 | 0.2269 | 0.1841 | 0.3946 | 0.2511 | 0.9255 |
60
- | 0.2033 | 3.0 | 7467 | 0.2130 | 0.1889 | 0.4095 | 0.2585 | 0.9272 |
61
- | 0.1799 | 4.0 | 9956 | 0.2015 | 0.1975 | 0.4561 | 0.2756 | 0.9267 |
62
- | 0.18 | 5.0 | 12445 | 0.1995 | 0.2402 | 0.4270 | 0.3075 | 0.9387 |
63
- | 0.1561 | 6.0 | 14934 | 0.1790 | 0.2731 | 0.4161 | 0.3298 | 0.9434 |
64
- | 0.1503 | 7.0 | 17423 | 0.1663 | 0.3237 | 0.5351 | 0.4034 | 0.9451 |
65
- | 0.1452 | 8.0 | 19912 | 0.1742 | 0.3319 | 0.5211 | 0.4055 | 0.9472 |
66
- | 0.1429 | 9.0 | 22401 | 0.1654 | 0.3515 | 0.5478 | 0.4282 | 0.9479 |
67
- | 0.1361 | 10.0 | 24890 | 0.1642 | 0.3590 | 0.5245 | 0.4262 | 0.9491 |
68
 
69
 
70
  ### Framework versions
 
1
  ---
 
2
  license: apache-2.0
3
+ base_model: bert-base-cased
4
+ tags:
5
+ - generated_from_trainer
6
  metrics:
7
  - precision
8
  - recall
9
  - f1
10
  - accuracy
 
 
11
  model-index:
12
  - name: bert-finetuned-ner4
13
  results: []
 
20
 
21
  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.1250
24
+ - Precision: 0.5977
25
+ - Recall: 0.7121
26
+ - F1: 0.6499
27
+ - Accuracy: 0.9640
28
 
29
  ## Model description
30
 
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
+ | 0.2424 | 1.0 | 2489 | 0.2411 | 0.1538 | 0.3948 | 0.2214 | 0.9097 |
59
+ | 0.1952 | 2.0 | 4978 | 0.2152 | 0.2033 | 0.4518 | 0.2804 | 0.9223 |
60
+ | 0.1771 | 3.0 | 7467 | 0.1737 | 0.2826 | 0.4268 | 0.3401 | 0.9387 |
61
+ | 0.1404 | 4.0 | 9956 | 0.1531 | 0.3981 | 0.5237 | 0.4524 | 0.9479 |
62
+ | 0.126 | 5.0 | 12445 | 0.1395 | 0.4761 | 0.6188 | 0.5382 | 0.9542 |
63
+ | 0.1084 | 6.0 | 14934 | 0.1339 | 0.4772 | 0.6758 | 0.5594 | 0.9555 |
64
+ | 0.0981 | 7.0 | 17423 | 0.1353 | 0.5228 | 0.6861 | 0.5934 | 0.9591 |
65
+ | 0.0865 | 8.0 | 19912 | 0.1308 | 0.5924 | 0.6871 | 0.6363 | 0.9628 |
66
+ | 0.0826 | 9.0 | 22401 | 0.1250 | 0.5897 | 0.7126 | 0.6453 | 0.9630 |
67
+ | 0.0754 | 10.0 | 24890 | 0.1250 | 0.5977 | 0.7121 | 0.6499 | 0.9640 |
68
 
69
 
70
  ### Framework versions
runs/Jul31_10-57-06_a036f72ba1ed/events.out.tfevents.1722426965.a036f72ba1ed.3098.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e89ba18ec327bd8712a4a384d629af553dc7bcaeebddc1cff18ccfe115f9ff8
3
+ size 569