JoshuaRubin
commited on
Commit
•
13b6dbb
1
Parent(s):
1aff953
update model card README.md
Browse files
README.md
CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
17 |
|
18 |
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
-
- Precision: 0.
|
22 |
-
- Recall: 0.
|
23 |
-
- F Score: 0.
|
24 |
-
- Auc: 0.
|
25 |
|
26 |
## Model description
|
27 |
|
@@ -52,25 +52,24 @@ The following hyperparameters were used during training:
|
|
52 |
|
53 |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F Score | Auc |
|
54 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:-------:|:------:|
|
55 |
-
| 0.
|
56 |
-
| 0.
|
57 |
-
| 0.
|
58 |
-
| 0.
|
59 |
-
| 0.
|
60 |
-
| 0.
|
61 |
-
| 0.
|
62 |
-
| 0.
|
63 |
-
| 0.
|
64 |
-
| 0.
|
65 |
-
| 0.
|
66 |
-
| 0.
|
67 |
-
| 0.
|
68 |
-
| 0.
|
69 |
-
| 0.
|
70 |
-
| 0.
|
71 |
-
| 0.
|
72 |
-
| 0.
|
73 |
-
| 0.0015 | 11.66 | 9500 | 0.1788 | 0.7968 | 0.7772 | 0.7856 | 0.9369 |
|
74 |
|
75 |
|
76 |
### Framework versions
|
|
|
17 |
|
18 |
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.1981
|
21 |
+
- Precision: 0.7843
|
22 |
+
- Recall: 0.7485
|
23 |
+
- F Score: 0.7648
|
24 |
+
- Auc: 0.9248
|
25 |
|
26 |
## Model description
|
27 |
|
|
|
52 |
|
53 |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F Score | Auc |
|
54 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:-------:|:------:|
|
55 |
+
| 0.1064 | 0.64 | 500 | 0.1082 | 0.7558 | 0.6580 | 0.6964 | 0.9086 |
|
56 |
+
| 0.0781 | 1.27 | 1000 | 0.1025 | 0.7594 | 0.7226 | 0.7365 | 0.9261 |
|
57 |
+
| 0.0757 | 1.91 | 1500 | 0.1001 | 0.7945 | 0.6899 | 0.7302 | 0.9272 |
|
58 |
+
| 0.0538 | 2.54 | 2000 | 0.1061 | 0.7689 | 0.7348 | 0.7480 | 0.9298 |
|
59 |
+
| 0.0425 | 3.18 | 2500 | 0.1123 | 0.7806 | 0.7361 | 0.7560 | 0.9300 |
|
60 |
+
| 0.0377 | 3.81 | 3000 | 0.1159 | 0.7841 | 0.7437 | 0.7610 | 0.9292 |
|
61 |
+
| 0.0235 | 4.45 | 3500 | 0.1259 | 0.7786 | 0.7368 | 0.7561 | 0.9276 |
|
62 |
+
| 0.0227 | 5.08 | 4000 | 0.1436 | 0.7699 | 0.7448 | 0.7555 | 0.9277 |
|
63 |
+
| 0.0159 | 5.72 | 4500 | 0.1466 | 0.7715 | 0.7333 | 0.7514 | 0.9252 |
|
64 |
+
| 0.0106 | 6.35 | 5000 | 0.1574 | 0.7710 | 0.7456 | 0.7566 | 0.9276 |
|
65 |
+
| 0.0111 | 6.99 | 5500 | 0.1560 | 0.7694 | 0.7500 | 0.7595 | 0.9286 |
|
66 |
+
| 0.0074 | 7.62 | 6000 | 0.1645 | 0.7789 | 0.7511 | 0.7639 | 0.9305 |
|
67 |
+
| 0.0056 | 8.26 | 6500 | 0.1745 | 0.7887 | 0.7453 | 0.7648 | 0.9265 |
|
68 |
+
| 0.005 | 8.89 | 7000 | 0.1760 | 0.7779 | 0.7497 | 0.7629 | 0.9281 |
|
69 |
+
| 0.0038 | 9.53 | 7500 | 0.1873 | 0.7826 | 0.7505 | 0.7634 | 0.9273 |
|
70 |
+
| 0.0031 | 10.17 | 8000 | 0.1896 | 0.7855 | 0.7477 | 0.7644 | 0.9258 |
|
71 |
+
| 0.0026 | 10.8 | 8500 | 0.1929 | 0.7849 | 0.7485 | 0.7650 | 0.9263 |
|
72 |
+
| 0.0017 | 11.44 | 9000 | 0.1981 | 0.7843 | 0.7485 | 0.7648 | 0.9248 |
|
|
|
73 |
|
74 |
|
75 |
### Framework versions
|