Shebna commited on
Commit
1ec48f6
1 Parent(s): 3f09b90

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +8 -8
README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
21
  metrics:
22
  - name: Matthews Correlation
23
  type: matthews_correlation
24
- value: 0.536503783702385
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
31
 
32
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
33
  It achieves the following results on the evaluation set:
34
- - Loss: 0.5557
35
- - Matthews Correlation: 0.5365
36
 
37
  ## Model description
38
 
@@ -63,11 +63,11 @@ The following hyperparameters were used during training:
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
65
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
66
- | 0.5233 | 1.0 | 535 | 0.5267 | 0.4239 |
67
- | 0.3515 | 2.0 | 1070 | 0.5128 | 0.4990 |
68
- | 0.2365 | 3.0 | 1605 | 0.5557 | 0.5365 |
69
- | 0.1835 | 4.0 | 2140 | 0.7819 | 0.5054 |
70
- | 0.1334 | 5.0 | 2675 | 0.8239 | 0.5294 |
71
 
72
 
73
  ### Framework versions
 
21
  metrics:
22
  - name: Matthews Correlation
23
  type: matthews_correlation
24
+ value: 0.542244787638552
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
31
 
32
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
33
  It achieves the following results on the evaluation set:
34
+ - Loss: 0.8054
35
+ - Matthews Correlation: 0.5422
36
 
37
  ## Model description
38
 
 
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
65
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
66
+ | 0.5231 | 1.0 | 535 | 0.5317 | 0.4122 |
67
+ | 0.348 | 2.0 | 1070 | 0.5014 | 0.5166 |
68
+ | 0.2365 | 3.0 | 1605 | 0.5800 | 0.5305 |
69
+ | 0.1833 | 4.0 | 2140 | 0.7610 | 0.5288 |
70
+ | 0.1381 | 5.0 | 2675 | 0.8054 | 0.5422 |
71
 
72
 
73
  ### Framework versions