Hugging Face's logo

VampeeHuntee
/
xlm-roberta-base_detect_span

Token Classification
Transformers
Safetensors
Vietnamese
xlm-roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
VampeeHuntee commited on
Commit
5ae73e8
•
1 Parent(s): 96086d4

End of training

Browse files
Files changed (3) hide show
  1. README.md +17 -17
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,19 +17,19 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the covid19_ner dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.0873
21
- - Patient Id: 0.9883
22
- - Name: 0.9446
23
- - Gender: 0.9785
24
- - Age: 0.9765
25
- - Job: 0.7063
26
- - Location: 0.9538
27
- - Organization: 0.8807
28
- - Date: 0.9851
29
- - Symptom And Disease: 0.8886
30
  - Transportation: 1.0
31
- - F1 Macro: 0.9302
32
- - F1 Micro: 0.9499
33
 
34
  ## Model description
35
 
@@ -60,11 +60,11 @@ The following hyperparameters were used during training:
60
 
61
  | Training Loss | Epoch | Step | Validation Loss | Patient Id | Name | Gender | Age | Job | Location | Organization | Date | Symptom And Disease | Transportation | F1 Macro | F1 Micro |
62
  |:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:------:|:------:|:------:|:--------:|:------------:|:------:|:-------------------:|:--------------:|:--------:|:--------:|
63
- | 0.2425 | 1.0 | 629 | 0.0989 | 0.9661 | 0.8889 | 0.8030 | 0.9068 | 0.3358 | 0.9152 | 0.8045 | 0.9843 | 0.8291 | 0.9222 | 0.8356 | 0.9001 |
64
- | 0.0596 | 2.0 | 1258 | 0.0885 | 0.9807 | 0.9446 | 0.9283 | 0.9620 | 0.4786 | 0.9462 | 0.8665 | 0.9810 | 0.8690 | 0.9885 | 0.8945 | 0.9367 |
65
- | 0.0376 | 3.0 | 1887 | 0.0899 | 0.9828 | 0.9284 | 0.9483 | 0.9765 | 0.6406 | 0.9458 | 0.8720 | 0.9865 | 0.8783 | 1.0 | 0.9159 | 0.9423 |
66
- | 0.0257 | 4.0 | 2516 | 0.0919 | 0.9875 | 0.9362 | 0.9766 | 0.9805 | 0.6818 | 0.9505 | 0.8827 | 0.9869 | 0.8871 | 1.0 | 0.9270 | 0.9484 |
67
- | 0.0172 | 5.0 | 3145 | 0.0873 | 0.9883 | 0.9446 | 0.9785 | 0.9765 | 0.7063 | 0.9538 | 0.8807 | 0.9851 | 0.8886 | 1.0 | 0.9302 | 0.9499 |
68
 
69
 
70
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the covid19_ner dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.0807
21
+ - Patient Id: 0.9855
22
+ - Name: 0.9337
23
+ - Gender: 0.9714
24
+ - Age: 0.9834
25
+ - Job: 0.8092
26
+ - Location: 0.9596
27
+ - Organization: 0.8897
28
+ - Date: 0.9860
29
+ - Symptom And Disease: 0.8885
30
  - Transportation: 1.0
31
+ - F1 Macro: 0.9407
32
+ - F1 Micro: 0.9541
33
 
34
  ## Model description
35
 
 
60
 
61
  | Training Loss | Epoch | Step | Validation Loss | Patient Id | Name | Gender | Age | Job | Location | Organization | Date | Symptom And Disease | Transportation | F1 Macro | F1 Micro |
62
  |:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:------:|:------:|:------:|:--------:|:------------:|:------:|:-------------------:|:--------------:|:--------:|:--------:|
63
+ | 0.216 | 1.0 | 629 | 0.0912 | 0.9477 | 0.9143 | 0.8367 | 0.9237 | 0.6228 | 0.9426 | 0.8234 | 0.9811 | 0.8603 | 0.9827 | 0.8835 | 0.9202 |
64
+ | 0.0478 | 2.0 | 1258 | 0.0832 | 0.9860 | 0.8942 | 0.9414 | 0.9741 | 0.5368 | 0.9434 | 0.8584 | 0.9811 | 0.8722 | 0.9829 | 0.8970 | 0.9369 |
65
+ | 0.0306 | 3.0 | 1887 | 0.0744 | 0.9867 | 0.9206 | 0.9494 | 0.9780 | 0.7664 | 0.9550 | 0.8913 | 0.9860 | 0.8791 | 0.9829 | 0.9295 | 0.9492 |
66
+ | 0.0211 | 4.0 | 2516 | 0.0789 | 0.9863 | 0.9309 | 0.9661 | 0.9793 | 0.7795 | 0.9549 | 0.8859 | 0.9860 | 0.8844 | 1.0 | 0.9353 | 0.9508 |
67
+ | 0.0153 | 5.0 | 3145 | 0.0807 | 0.9855 | 0.9337 | 0.9714 | 0.9834 | 0.8092 | 0.9596 | 0.8897 | 0.9860 | 0.8885 | 1.0 | 0.9407 | 0.9541 |
68
 
69
 
70
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c299f0e6dd59897d8012cb58fd65a8bf5ff68760752073fec2e64ed15c170305
3
  size 1109900868
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5d68966d3e6de6171b5c9dca6be81d3d3701a3eb7e76d927c19e306eeaa43a3
3
  size 1109900868
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d9bc676add2b57c86b24e96d5f68c2bb3929794adc98895d0da766829f3e3f5c
3
  size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf670d0160c8de0ac3f12a000b5412a4dced2fde07591283d2b69b3c9e3934e6
3
  size 5240