Hugging Face's logo

henryscheible
/
xlnet-base-cased_crows_pairs_finetuned

Text Classification
Transformers
PyTorch
xlnet
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
 Community
1
henryscheible commited on
Commit
d2cc24a
·
1 Parent(s): 8ad97ab

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +24 -24
README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
21
  metrics:
22
  - name: Accuracy
23
  type: accuracy
24
- value: 0.5231788079470199
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 [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the crows_pairs dataset.
33
  It achieves the following results on the evaluation set:
34
- - Loss: 0.6921
35
- - Accuracy: 0.5232
36
 
37
  ## Model description
38
 
@@ -51,7 +51,7 @@ More information needed
51
  ### Training hyperparameters
52
 
53
  The following hyperparameters were used during training:
54
- - learning_rate: 0.001
55
  - train_batch_size: 128
56
  - eval_batch_size: 64
57
  - seed: 42
@@ -63,26 +63,26 @@ The following hyperparameters were used during training:
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
65
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
66
- | No log | 1.0 | 10 | 0.7165 | 0.4768 |
67
- | No log | 2.0 | 20 | 0.7581 | 0.5232 |
68
- | No log | 3.0 | 30 | 0.7120 | 0.5232 |
69
- | No log | 4.0 | 40 | 0.6947 | 0.5232 |
70
- | No log | 5.0 | 50 | 0.7235 | 0.4768 |
71
- | No log | 6.0 | 60 | 0.7020 | 0.5232 |
72
- | No log | 7.0 | 70 | 0.6986 | 0.4768 |
73
- | No log | 8.0 | 80 | 0.6933 | 0.5232 |
74
- | No log | 9.0 | 90 | 0.7032 | 0.5232 |
75
- | No log | 10.0 | 100 | 0.7151 | 0.4768 |
76
- | No log | 11.0 | 110 | 0.7052 | 0.4768 |
77
- | No log | 12.0 | 120 | 0.6927 | 0.5232 |
78
- | No log | 13.0 | 130 | 0.6922 | 0.5232 |
79
- | No log | 14.0 | 140 | 0.6923 | 0.5232 |
80
- | No log | 15.0 | 150 | 0.6928 | 0.5232 |
81
- | No log | 16.0 | 160 | 0.6943 | 0.5232 |
82
- | No log | 17.0 | 170 | 0.6926 | 0.5232 |
83
- | No log | 18.0 | 180 | 0.6926 | 0.5232 |
84
- | No log | 19.0 | 190 | 0.6922 | 0.5232 |
85
- | No log | 20.0 | 200 | 0.6921 | 0.5232 |
86
 
87
 
88
  ### Framework versions
 
21
  metrics:
22
  - name: Accuracy
23
  type: accuracy
24
+ value: 0.44370860927152317
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 [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the crows_pairs dataset.
33
  It achieves the following results on the evaluation set:
34
+ - Loss: 0.6984
35
+ - Accuracy: 0.4437
36
 
37
  ## Model description
38
 
 
51
  ### Training hyperparameters
52
 
53
  The following hyperparameters were used during training:
54
+ - learning_rate: 0.01
55
  - train_batch_size: 128
56
  - eval_batch_size: 64
57
  - seed: 42
 
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
65
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
66
+ | No log | 1.0 | 10 | 1.7260 | 0.4437 |
67
+ | No log | 2.0 | 20 | 0.6869 | 0.5563 |
68
+ | No log | 3.0 | 30 | 1.0103 | 0.4437 |
69
+ | No log | 4.0 | 40 | 0.7207 | 0.5563 |
70
+ | No log | 5.0 | 50 | 0.8402 | 0.4437 |
71
+ | No log | 6.0 | 60 | 0.7060 | 0.5563 |
72
+ | No log | 7.0 | 70 | 0.7714 | 0.4437 |
73
+ | No log | 8.0 | 80 | 0.6924 | 0.5563 |
74
+ | No log | 9.0 | 90 | 0.7429 | 0.4437 |
75
+ | No log | 10.0 | 100 | 0.6886 | 0.5563 |
76
+ | No log | 11.0 | 110 | 0.7110 | 0.4437 |
77
+ | No log | 12.0 | 120 | 0.7309 | 0.4437 |
78
+ | No log | 13.0 | 130 | 0.6999 | 0.5563 |
79
+ | No log | 14.0 | 140 | 0.6962 | 0.4437 |
80
+ | No log | 15.0 | 150 | 0.6869 | 0.5563 |
81
+ | No log | 16.0 | 160 | 0.7281 | 0.4437 |
82
+ | No log | 17.0 | 170 | 0.6870 | 0.5563 |
83
+ | No log | 18.0 | 180 | 0.7582 | 0.4437 |
84
+ | No log | 19.0 | 190 | 0.6998 | 0.4437 |
85
+ | No log | 20.0 | 200 | 0.6984 | 0.4437 |
86
 
87
 
88
  ### Framework versions