Hugging Face's logo

GuiTap
/
bert-base-multilingual-uncased-finetuned-ner-geocorpus

Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
GuiTap commited on
Commit
990f721
•
1 Parent(s): 481ded1

End of training

Browse files
Files changed (4) hide show
  1. README.md +17 -17
  2. model.safetensors +1 -1
  3. runs/Jun09_15-13-31_a25d1017adfe/events.out.tfevents.1717946021.a25d1017adfe.1570.2 +2 -2
  4. runs/Jun09_15-13-31_a25d1017adfe/events.out.tfevents.1717947087.a25d1017adfe.1570.3 +3 -0
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.1337
24
- - Precision: 0.7867
25
- - Recall: 0.8827
26
- - F1: 0.8320
27
- - Accuracy: 0.9727
28
 
29
  ## Model description
30
 
@@ -55,21 +55,21 @@ The following hyperparameters were used during training:
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
- | No log | 1.0 | 276 | 0.1785 | 0.6910 | 0.6597 | 0.6750 | 0.9527 |
59
- | 0.2507 | 2.0 | 552 | 0.1321 | 0.7761 | 0.7689 | 0.7725 | 0.9630 |
60
- | 0.2507 | 3.0 | 828 | 0.1158 | 0.7691 | 0.8165 | 0.7921 | 0.9669 |
61
- | 0.084 | 4.0 | 1104 | 0.1186 | 0.7503 | 0.8479 | 0.7961 | 0.9668 |
62
- | 0.084 | 5.0 | 1380 | 0.1287 | 0.7629 | 0.8560 | 0.8068 | 0.9657 |
63
- | 0.0443 | 6.0 | 1656 | 0.1295 | 0.7453 | 0.8769 | 0.8058 | 0.9666 |
64
- | 0.0443 | 7.0 | 1932 | 0.1423 | 0.7592 | 0.8862 | 0.8178 | 0.9685 |
65
- | 0.0243 | 8.0 | 2208 | 0.1267 | 0.7970 | 0.8664 | 0.8303 | 0.9724 |
66
- | 0.0243 | 9.0 | 2484 | 0.1309 | 0.7747 | 0.8746 | 0.8216 | 0.9710 |
67
- | 0.0164 | 10.0 | 2760 | 0.1337 | 0.7867 | 0.8827 | 0.8320 | 0.9727 |
68
 
69
 
70
  ### Framework versions
71
 
72
- - Transformers 4.41.1
73
  - Pytorch 2.3.0+cu121
74
- - Datasets 2.19.1
75
  - Tokenizers 0.19.1
 
20
 
21
  This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.1210
24
+ - Precision: 0.8205
25
+ - Recall: 0.8757
26
+ - F1: 0.8472
27
+ - Accuracy: 0.9760
28
 
29
  ## Model description
30
 
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
+ | No log | 1.0 | 276 | 0.1670 | 0.7138 | 0.6690 | 0.6906 | 0.9555 |
59
+ | 0.247 | 2.0 | 552 | 0.1192 | 0.8109 | 0.7770 | 0.7936 | 0.9676 |
60
+ | 0.247 | 3.0 | 828 | 0.1181 | 0.8226 | 0.8188 | 0.8207 | 0.9709 |
61
+ | 0.0846 | 4.0 | 1104 | 0.1162 | 0.7656 | 0.8571 | 0.8088 | 0.9685 |
62
+ | 0.0846 | 5.0 | 1380 | 0.1248 | 0.7627 | 0.8699 | 0.8128 | 0.9687 |
63
+ | 0.0442 | 6.0 | 1656 | 0.0982 | 0.8233 | 0.8931 | 0.8568 | 0.9777 |
64
+ | 0.0442 | 7.0 | 1932 | 0.1114 | 0.8100 | 0.8862 | 0.8464 | 0.9741 |
65
+ | 0.0247 | 8.0 | 2208 | 0.1164 | 0.8342 | 0.8885 | 0.8605 | 0.9780 |
66
+ | 0.0247 | 9.0 | 2484 | 0.1208 | 0.7983 | 0.8920 | 0.8426 | 0.9746 |
67
+ | 0.0159 | 10.0 | 2760 | 0.1210 | 0.8205 | 0.8757 | 0.8472 | 0.9760 |
68
 
69
 
70
  ### Framework versions
71
 
72
+ - Transformers 4.41.2
73
  - Pytorch 2.3.0+cu121
74
+ - Datasets 2.19.2
75
  - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e9a0c2d7d87ebe6cb6eae51dd821697e5940a7d4945b12ccc4382f1874f47eff
3
  size 667169708
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f4ded427928b030589d6cd2cc298df6730dc9c58485ec3715275a4251fbc94d2
3
  size 667169708
runs/Jun09_15-13-31_a25d1017adfe/events.out.tfevents.1717946021.a25d1017adfe.1570.2 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:93a42ac25b29b14e726ecb6a5b43ca49b04ba09997bf70dfe1f3a2ada3eb2255
3
- size 11535
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:068d1661793c7abdbabb4f8abbf5d6a440f66a07eb179e6301781674b4030e0a
3
+ size 12361
runs/Jun09_15-13-31_a25d1017adfe/events.out.tfevents.1717947087.a25d1017adfe.1570.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:41a1c4394d89057bc515bd1e4c165c2e53c282d40467a2cff64ab705fd71590e
3
+ size 560