Commit
•
f9d6f5f
1
Parent(s):
c1bf57b
update model card README.md
Browse files
README.md
CHANGED
@@ -21,7 +21,7 @@ model-index:
|
|
21 |
metrics:
|
22 |
- name: Accuracy
|
23 |
type: accuracy
|
24 |
-
value: 0.
|
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.
|
35 |
-
- Accuracy: 0.
|
36 |
|
37 |
## Model description
|
38 |
|
@@ -51,38 +51,75 @@ More information needed
|
|
51 |
### Training hyperparameters
|
52 |
|
53 |
The following hyperparameters were used during training:
|
54 |
-
- learning_rate: 0.
|
55 |
-
- train_batch_size:
|
56 |
- eval_batch_size: 64
|
57 |
- seed: 42
|
58 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
59 |
- lr_scheduler_type: linear
|
60 |
-
- num_epochs:
|
61 |
|
62 |
### Training results
|
63 |
|
64 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
65 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
66 |
-
|
|
67 |
-
|
|
68 |
-
|
|
69 |
-
|
|
70 |
-
|
|
71 |
-
|
|
72 |
-
|
|
73 |
-
|
|
74 |
-
|
|
75 |
-
|
|
76 |
-
|
|
77 |
-
|
|
78 |
-
|
|
79 |
-
|
|
80 |
-
|
|
81 |
-
|
|
82 |
-
|
|
83 |
-
|
|
84 |
-
|
|
85 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
86 |
|
87 |
|
88 |
### Framework versions
|
|
|
21 |
metrics:
|
22 |
- name: Accuracy
|
23 |
type: accuracy
|
24 |
+
value: 0.5066225165562914
|
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: 0.6932
|
35 |
+
- Accuracy: 0.5066
|
36 |
|
37 |
## Model description
|
38 |
|
|
|
51 |
### Training hyperparameters
|
52 |
|
53 |
The following hyperparameters were used during training:
|
54 |
+
- learning_rate: 0.0005
|
55 |
+
- train_batch_size: 64
|
56 |
- eval_batch_size: 64
|
57 |
- seed: 42
|
58 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
59 |
- lr_scheduler_type: linear
|
60 |
+
- num_epochs: 30
|
61 |
|
62 |
### Training results
|
63 |
|
64 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
65 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
66 |
+
| 0.9006 | 0.53 | 10 | 0.7493 | 0.4934 |
|
67 |
+
| 0.7565 | 1.05 | 20 | 0.7202 | 0.4934 |
|
68 |
+
| 0.7303 | 1.58 | 30 | 0.6968 | 0.4934 |
|
69 |
+
| 0.7495 | 2.11 | 40 | 0.7210 | 0.5066 |
|
70 |
+
| 0.8008 | 2.63 | 50 | 0.6944 | 0.5066 |
|
71 |
+
| 0.7251 | 3.16 | 60 | 0.6982 | 0.5066 |
|
72 |
+
| 0.7193 | 3.68 | 70 | 0.7032 | 0.5066 |
|
73 |
+
| 0.7118 | 4.21 | 80 | 0.6975 | 0.5066 |
|
74 |
+
| 0.7419 | 4.74 | 90 | 0.7311 | 0.5066 |
|
75 |
+
| 0.7175 | 5.26 | 100 | 0.6946 | 0.5066 |
|
76 |
+
| 0.7293 | 5.79 | 110 | 0.7008 | 0.4934 |
|
77 |
+
| 0.7208 | 6.32 | 120 | 0.6940 | 0.4934 |
|
78 |
+
| 0.7101 | 6.84 | 130 | 0.6975 | 0.5066 |
|
79 |
+
| 0.7138 | 7.37 | 140 | 0.7065 | 0.4934 |
|
80 |
+
| 0.7112 | 7.89 | 150 | 0.6931 | 0.5066 |
|
81 |
+
| 0.7093 | 8.42 | 160 | 0.6931 | 0.5066 |
|
82 |
+
| 0.6996 | 8.95 | 170 | 0.6931 | 0.5066 |
|
83 |
+
| 0.6948 | 9.47 | 180 | 0.7050 | 0.4934 |
|
84 |
+
| 0.7118 | 10.0 | 190 | 0.6935 | 0.4934 |
|
85 |
+
| 0.7015 | 10.53 | 200 | 0.6993 | 0.5066 |
|
86 |
+
| 0.6985 | 11.05 | 210 | 0.6941 | 0.4934 |
|
87 |
+
| 0.6983 | 11.58 | 220 | 0.7118 | 0.4934 |
|
88 |
+
| 0.7031 | 12.11 | 230 | 0.7110 | 0.5066 |
|
89 |
+
| 0.6987 | 12.63 | 240 | 0.7643 | 0.4934 |
|
90 |
+
| 0.7483 | 13.16 | 250 | 0.7019 | 0.5066 |
|
91 |
+
| 0.7065 | 13.68 | 260 | 0.7018 | 0.4934 |
|
92 |
+
| 0.7008 | 14.21 | 270 | 0.6931 | 0.5066 |
|
93 |
+
| 0.7074 | 14.74 | 280 | 0.6932 | 0.4934 |
|
94 |
+
| 0.7097 | 15.26 | 290 | 0.6931 | 0.5066 |
|
95 |
+
| 0.7284 | 15.79 | 300 | 0.6956 | 0.4934 |
|
96 |
+
| 0.7045 | 16.32 | 310 | 0.6948 | 0.5066 |
|
97 |
+
| 0.7041 | 16.84 | 320 | 0.7176 | 0.4934 |
|
98 |
+
| 0.7118 | 17.37 | 330 | 0.6941 | 0.5066 |
|
99 |
+
| 0.7044 | 17.89 | 340 | 0.6931 | 0.5066 |
|
100 |
+
| 0.7034 | 18.42 | 350 | 0.6938 | 0.4934 |
|
101 |
+
| 0.683 | 18.95 | 360 | 0.6984 | 0.4934 |
|
102 |
+
| 0.7024 | 19.47 | 370 | 0.7009 | 0.4934 |
|
103 |
+
| 0.6988 | 20.0 | 380 | 0.6999 | 0.5066 |
|
104 |
+
| 0.6977 | 20.53 | 390 | 0.6974 | 0.4934 |
|
105 |
+
| 0.709 | 21.05 | 400 | 0.6932 | 0.5066 |
|
106 |
+
| 0.6991 | 21.58 | 410 | 0.6940 | 0.4934 |
|
107 |
+
| 0.7058 | 22.11 | 420 | 0.6931 | 0.5066 |
|
108 |
+
| 0.7101 | 22.63 | 430 | 0.6934 | 0.4934 |
|
109 |
+
| 0.7086 | 23.16 | 440 | 0.6956 | 0.4934 |
|
110 |
+
| 0.6973 | 23.68 | 450 | 0.6970 | 0.5066 |
|
111 |
+
| 0.7059 | 24.21 | 460 | 0.6931 | 0.5066 |
|
112 |
+
| 0.7021 | 24.74 | 470 | 0.6988 | 0.4934 |
|
113 |
+
| 0.6996 | 25.26 | 480 | 0.7006 | 0.4934 |
|
114 |
+
| 0.6963 | 25.79 | 490 | 0.6931 | 0.5066 |
|
115 |
+
| 0.6962 | 26.32 | 500 | 0.6932 | 0.5066 |
|
116 |
+
| 0.691 | 26.84 | 510 | 0.6944 | 0.4934 |
|
117 |
+
| 0.7003 | 27.37 | 520 | 0.6933 | 0.4934 |
|
118 |
+
| 0.6944 | 27.89 | 530 | 0.6934 | 0.4934 |
|
119 |
+
| 0.6988 | 28.42 | 540 | 0.6931 | 0.5066 |
|
120 |
+
| 0.7009 | 28.95 | 550 | 0.6931 | 0.5066 |
|
121 |
+
| 0.699 | 29.47 | 560 | 0.6933 | 0.5066 |
|
122 |
+
| 0.696 | 30.0 | 570 | 0.6932 | 0.5066 |
|
123 |
|
124 |
|
125 |
### Framework versions
|