Hugging Face's logo

sanchirjav
/
roberta-base-ner-demo-turshilt3

Token Classification
Transformers
TensorBoard
Safetensors
Mongolian
roberta
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
sanchirjav commited on
Commit
73a97a5
•
1 Parent(s): 6708705

End of training

Browse files
Files changed (4) hide show
  1. README.md +20 -20
  2. model.safetensors +1 -1
  3. runs/May20_15-27-44_dc03094a5826/events.out.tfevents.1716218865.dc03094a5826.245.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
21
 
22
  This model is a fine-tuned version of [bayartsogt/mongolian-roberta-base](https://huggingface.co/bayartsogt/mongolian-roberta-base) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
- - Loss: 0.0402
25
- - Precision: 0.9794
26
- - Recall: 0.9809
27
- - F1: 0.9801
28
- - Accuracy: 0.9939
29
 
30
  ## Model description
31
 
@@ -60,21 +60,21 @@ The following hyperparameters were used during training:
60
 
61
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
62
  |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
63
- | 0.028 | 0.9958 | 119 | 0.0243 | 0.9769 | 0.9804 | 0.9786 | 0.9941 |
64
- | 0.0193 | 2.0 | 239 | 0.0279 | 0.9783 | 0.9813 | 0.9798 | 0.9942 |
65
- | 0.0113 | 2.9958 | 358 | 0.0307 | 0.9773 | 0.9806 | 0.9790 | 0.9938 |
66
- | 0.0069 | 4.0 | 478 | 0.0324 | 0.9764 | 0.9789 | 0.9776 | 0.9935 |
67
- | 0.0044 | 4.9958 | 597 | 0.0378 | 0.9762 | 0.9785 | 0.9774 | 0.9934 |
68
- | 0.0034 | 6.0 | 717 | 0.0373 | 0.9743 | 0.9771 | 0.9757 | 0.9933 |
69
- | 0.0029 | 6.9958 | 836 | 0.0353 | 0.9775 | 0.9799 | 0.9787 | 0.9938 |
70
- | 0.002 | 8.0 | 956 | 0.0385 | 0.9787 | 0.9810 | 0.9798 | 0.9938 |
71
- | 0.0017 | 8.9958 | 1075 | 0.0393 | 0.9767 | 0.9795 | 0.9781 | 0.9936 |
72
- | 0.0013 | 10.0 | 1195 | 0.0396 | 0.9781 | 0.9794 | 0.9788 | 0.9935 |
73
- | 0.0009 | 10.9958 | 1314 | 0.0398 | 0.9792 | 0.9812 | 0.9802 | 0.9938 |
74
- | 0.0008 | 12.0 | 1434 | 0.0393 | 0.9794 | 0.9812 | 0.9803 | 0.9938 |
75
- | 0.0008 | 12.9958 | 1553 | 0.0404 | 0.9797 | 0.9808 | 0.9803 | 0.9938 |
76
- | 0.0006 | 14.0 | 1673 | 0.0404 | 0.9791 | 0.9808 | 0.9799 | 0.9937 |
77
- | 0.0006 | 14.9372 | 1785 | 0.0402 | 0.9794 | 0.9809 | 0.9801 | 0.9939 |
78
 
79
 
80
  ### Framework versions
 
21
 
22
  This model is a fine-tuned version of [bayartsogt/mongolian-roberta-base](https://huggingface.co/bayartsogt/mongolian-roberta-base) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 0.1163
25
+ - Precision: 0.9235
26
+ - Recall: 0.9346
27
+ - F1: 0.9290
28
+ - Accuracy: 0.9806
29
 
30
  ## Model description
31
 
 
60
 
61
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
62
  |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
63
+ | 0.78 | 0.9958 | 119 | 0.1344 | 0.7247 | 0.8054 | 0.7629 | 0.9518 |
64
+ | 0.1075 | 2.0 | 239 | 0.0992 | 0.8035 | 0.8679 | 0.8344 | 0.9656 |
65
+ | 0.0642 | 2.9958 | 358 | 0.0831 | 0.8306 | 0.8849 | 0.8569 | 0.9714 |
66
+ | 0.0412 | 4.0 | 478 | 0.0924 | 0.8641 | 0.9022 | 0.8827 | 0.9739 |
67
+ | 0.0214 | 4.9958 | 597 | 0.0918 | 0.9064 | 0.9225 | 0.9144 | 0.9778 |
68
+ | 0.0143 | 6.0 | 717 | 0.0932 | 0.9189 | 0.9301 | 0.9245 | 0.9801 |
69
+ | 0.01 | 6.9958 | 836 | 0.0951 | 0.9199 | 0.9325 | 0.9261 | 0.9803 |
70
+ | 0.0074 | 8.0 | 956 | 0.1077 | 0.9207 | 0.9299 | 0.9253 | 0.9795 |
71
+ | 0.0053 | 8.9958 | 1075 | 0.1081 | 0.9213 | 0.9329 | 0.9270 | 0.9805 |
72
+ | 0.0044 | 10.0 | 1195 | 0.1110 | 0.9223 | 0.9331 | 0.9276 | 0.9806 |
73
+ | 0.0037 | 10.9958 | 1314 | 0.1125 | 0.9273 | 0.9362 | 0.9317 | 0.9811 |
74
+ | 0.0027 | 12.0 | 1434 | 0.1146 | 0.9250 | 0.9344 | 0.9297 | 0.9807 |
75
+ | 0.0023 | 12.9958 | 1553 | 0.1155 | 0.9263 | 0.9361 | 0.9311 | 0.9812 |
76
+ | 0.0023 | 14.0 | 1673 | 0.1171 | 0.9242 | 0.9342 | 0.9292 | 0.9805 |
77
+ | 0.0021 | 14.9372 | 1785 | 0.1163 | 0.9235 | 0.9346 | 0.9290 | 0.9806 |
78
 
79
 
80
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d6387a76e861e1ecf6e46118b03f5d335beada5f4574b5e2ad09838c3280cd4e
3
  size 496259468
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:671cdb544a5faf348d0e03a28556104a9b38e4812f219d41d461e035ef61ee9e
3
  size 496259468
runs/May20_15-27-44_dc03094a5826/events.out.tfevents.1716218865.dc03094a5826.245.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da2a0afd34c04e97ed55bff6886d9e6199be5ef4fda9082b8ba2e21808ede238
3
+ size 15603
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0b07e2b55e935fce3a2ec6f706228d8229c3d09ea1923ec972e37ffe706c7616
3
  size 4984
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea872a8a177aac1073419b2e90499cac55cc72e548decf9c770555b6f587b46f
3
  size 4984