Hugging Face's logo

WaiLwin
/
jn

Transformers
Safetensors
distilbert
Generated from Trainer
Model card Files
xet
 Community
WaiLwin commited on
Commit
856af7a
·
verified ·
1 Parent(s): f91f517

Model save

Browse files
Files changed (2) hide show
  1. README.md +19 -19
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.3407
20
- - Topology Accuracy: 0.9902
21
- - Service Accuracy: 0.9688
22
- - Combined Accuracy: 0.9795
23
 
24
  ## Model description
25
 
@@ -52,21 +52,21 @@ The following hyperparameters were used during training:
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Topology Accuracy | Service Accuracy | Combined Accuracy |
54
  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:----------------:|:-----------------:|
55
- | 0.6259 | 1.0 | 96 | 0.6093 | 0.9707 | 0.6914 | 0.8311 |
56
- | 0.4812 | 2.0 | 192 | 0.4968 | 0.9707 | 0.7852 | 0.8779 |
57
- | 0.3718 | 3.0 | 288 | 0.3624 | 0.9844 | 0.9473 | 0.9658 |
58
- | 0.3553 | 4.0 | 384 | 0.3438 | 0.9941 | 0.9648 | 0.9795 |
59
- | 0.3038 | 5.0 | 480 | 0.3543 | 0.9844 | 0.9688 | 0.9766 |
60
- | 0.3057 | 6.0 | 576 | 0.3517 | 0.9844 | 0.9688 | 0.9766 |
61
- | 0.3027 | 7.0 | 672 | 0.3442 | 0.9883 | 0.9727 | 0.9805 |
62
- | 0.3019 | 8.0 | 768 | 0.3414 | 0.9902 | 0.9727 | 0.9814 |
63
- | 0.3025 | 9.0 | 864 | 0.3451 | 0.9883 | 0.9688 | 0.9785 |
64
- | 0.3025 | 10.0 | 960 | 0.3380 | 0.9883 | 0.9746 | 0.9814 |
65
- | 0.302 | 11.0 | 1056 | 0.3419 | 0.9863 | 0.9727 | 0.9795 |
66
- | 0.3032 | 12.0 | 1152 | 0.3417 | 0.9883 | 0.9727 | 0.9805 |
67
- | 0.3154 | 13.0 | 1248 | 0.3411 | 0.9883 | 0.9688 | 0.9785 |
68
- | 0.3064 | 14.0 | 1344 | 0.3410 | 0.9902 | 0.9688 | 0.9795 |
69
- | 0.301 | 15.0 | 1440 | 0.3407 | 0.9902 | 0.9688 | 0.9795 |
70
 
71
 
72
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.3406
20
+ - Topology Accuracy: 0.9883
21
+ - Service Accuracy: 0.9746
22
+ - Combined Accuracy: 0.9814
23
 
24
  ## Model description
25
 
 
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Topology Accuracy | Service Accuracy | Combined Accuracy |
54
  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:----------------:|:-----------------:|
55
+ | 0.6178 | 1.0 | 96 | 0.6028 | 0.9805 | 0.7012 | 0.8408 |
56
+ | 0.5546 | 2.0 | 192 | 0.5229 | 0.9766 | 0.7109 | 0.8438 |
57
+ | 0.4255 | 3.0 | 288 | 0.4324 | 0.9805 | 0.9023 | 0.9414 |
58
+ | 0.3934 | 4.0 | 384 | 0.3546 | 0.9805 | 0.9668 | 0.9736 |
59
+ | 0.3195 | 5.0 | 480 | 0.3477 | 0.9844 | 0.9648 | 0.9746 |
60
+ | 0.3052 | 6.0 | 576 | 0.3458 | 0.9863 | 0.9746 | 0.9805 |
61
+ | 0.3139 | 7.0 | 672 | 0.3529 | 0.9863 | 0.9688 | 0.9775 |
62
+ | 0.3049 | 8.0 | 768 | 0.3533 | 0.9844 | 0.9707 | 0.9775 |
63
+ | 0.3145 | 9.0 | 864 | 0.3517 | 0.9863 | 0.9648 | 0.9756 |
64
+ | 0.3025 | 10.0 | 960 | 0.3462 | 0.9883 | 0.9668 | 0.9775 |
65
+ | 0.3031 | 11.0 | 1056 | 0.3420 | 0.9902 | 0.9707 | 0.9805 |
66
+ | 0.3008 | 12.0 | 1152 | 0.3417 | 0.9883 | 0.9727 | 0.9805 |
67
+ | 0.3184 | 13.0 | 1248 | 0.3418 | 0.9883 | 0.9746 | 0.9814 |
68
+ | 0.2996 | 14.0 | 1344 | 0.3404 | 0.9883 | 0.9746 | 0.9814 |
69
+ | 0.3023 | 15.0 | 1440 | 0.3406 | 0.9883 | 0.9746 | 0.9814 |
70
 
71
 
72
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b13534ac24c16b1f41a20e6dffad7dcec92ec434c5932f68edac05faf2724d0f
3
  size 267833336
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ebc842c97bf550fea99165c8c63aa6c92d6a66a66577102494a8cf1f0677dbd7
3
  size 267833336