judithrosell
commited on
Commit
•
12403f8
1
Parent(s):
bffa389
End of training
Browse files
README.md
CHANGED
@@ -14,18 +14,18 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
|
16 |
It achieves the following results on the evaluation set:
|
17 |
-
- Loss: 0.
|
18 |
- Seqeval classification report: precision recall f1-score support
|
19 |
|
20 |
-
DNA 0.
|
21 |
-
RNA 0.
|
22 |
-
cell_line 0.
|
23 |
-
cell_type 0.
|
24 |
-
protein 0.
|
25 |
|
26 |
-
micro avg 0.
|
27 |
-
macro avg 0.
|
28 |
-
weighted avg 0.
|
29 |
|
30 |
|
31 |
## Model description
|
@@ -59,41 +59,41 @@ The following hyperparameters were used during training:
|
|
59 |
|
60 |
| Training Loss | Epoch | Step | Validation Loss | Seqeval classification report |
|
61 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
|
62 |
-
| 0.
|
63 |
|
64 |
-
DNA 0.
|
65 |
-
RNA 0.78 0.
|
66 |
-
cell_line 0.
|
67 |
-
cell_type 0.
|
68 |
-
protein 0.
|
69 |
|
70 |
-
micro avg 0.
|
71 |
-
macro avg 0.
|
72 |
-
weighted avg 0.
|
73 |
|
|
74 |
-
| 0.
|
75 |
|
76 |
-
DNA 0.
|
77 |
-
RNA 0.
|
78 |
-
cell_line 0.75 0.
|
79 |
-
cell_type 0.
|
80 |
-
protein 0.
|
81 |
|
82 |
-
micro avg 0.
|
83 |
-
macro avg 0.
|
84 |
-
weighted avg 0.
|
85 |
|
|
86 |
-
| 0.
|
87 |
|
88 |
-
DNA 0.
|
89 |
-
RNA 0.
|
90 |
-
cell_line 0.
|
91 |
-
cell_type 0.
|
92 |
-
protein 0.
|
93 |
|
94 |
-
micro avg 0.
|
95 |
-
macro avg 0.
|
96 |
-
weighted avg 0.
|
97 |
|
|
98 |
|
99 |
|
|
|
14 |
|
15 |
This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
|
16 |
It achieves the following results on the evaluation set:
|
17 |
+
- Loss: 0.1445
|
18 |
- Seqeval classification report: precision recall f1-score support
|
19 |
|
20 |
+
DNA 0.72 0.80 0.76 507
|
21 |
+
RNA 0.81 0.83 0.82 1593
|
22 |
+
cell_line 0.76 0.78 0.77 5750
|
23 |
+
cell_type 0.76 0.81 0.79 618
|
24 |
+
protein 0.81 0.81 0.81 1452
|
25 |
|
26 |
+
micro avg 0.77 0.80 0.78 9920
|
27 |
+
macro avg 0.77 0.81 0.79 9920
|
28 |
+
weighted avg 0.77 0.80 0.78 9920
|
29 |
|
30 |
|
31 |
## Model description
|
|
|
59 |
|
60 |
| Training Loss | Epoch | Step | Validation Loss | Seqeval classification report |
|
61 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
|
62 |
+
| 0.2687 | 1.0 | 582 | 0.1504 | precision recall f1-score support
|
63 |
|
64 |
+
DNA 0.72 0.81 0.76 507
|
65 |
+
RNA 0.78 0.82 0.80 1593
|
66 |
+
cell_line 0.75 0.77 0.76 5750
|
67 |
+
cell_type 0.76 0.81 0.78 618
|
68 |
+
protein 0.80 0.81 0.80 1452
|
69 |
|
70 |
+
micro avg 0.76 0.79 0.77 9920
|
71 |
+
macro avg 0.76 0.80 0.78 9920
|
72 |
+
weighted avg 0.76 0.79 0.77 9920
|
73 |
|
|
74 |
+
| 0.1412 | 2.0 | 1164 | 0.1461 | precision recall f1-score support
|
75 |
|
76 |
+
DNA 0.72 0.81 0.76 507
|
77 |
+
RNA 0.83 0.79 0.81 1593
|
78 |
+
cell_line 0.75 0.77 0.76 5750
|
79 |
+
cell_type 0.75 0.82 0.78 618
|
80 |
+
protein 0.85 0.75 0.80 1452
|
81 |
|
82 |
+
micro avg 0.78 0.78 0.78 9920
|
83 |
+
macro avg 0.78 0.79 0.78 9920
|
84 |
+
weighted avg 0.78 0.78 0.78 9920
|
85 |
|
|
86 |
+
| 0.1251 | 3.0 | 1746 | 0.1445 | precision recall f1-score support
|
87 |
|
88 |
+
DNA 0.72 0.80 0.76 507
|
89 |
+
RNA 0.81 0.83 0.82 1593
|
90 |
+
cell_line 0.76 0.78 0.77 5750
|
91 |
+
cell_type 0.76 0.81 0.79 618
|
92 |
+
protein 0.81 0.81 0.81 1452
|
93 |
|
94 |
+
micro avg 0.77 0.80 0.78 9920
|
95 |
+
macro avg 0.77 0.81 0.79 9920
|
96 |
+
weighted avg 0.77 0.80 0.78 9920
|
97 |
|
|
98 |
|
99 |
|