Commit
•
9b66fa5
1
Parent(s):
94b5afb
Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (9237cbfbc9cfacbcc4b5661a21b3a625983a4905)
Co-authored-by: Librarian Bot (Bot) <[email protected]>
README.md
CHANGED
@@ -1,4 +1,6 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
tags:
|
4 |
- generated_from_trainer
|
@@ -9,35 +11,36 @@ metrics:
|
|
9 |
- recall
|
10 |
- f1
|
11 |
- accuracy
|
12 |
-
language:
|
13 |
-
- en
|
14 |
widget:
|
15 |
-
- text:
|
16 |
-
- text:
|
17 |
-
|
|
|
|
|
|
|
18 |
model-index:
|
19 |
- name: albert-large-v2-finetuned-ner_with_callbacks
|
20 |
results:
|
21 |
- task:
|
22 |
-
name: Token Classification
|
23 |
type: token-classification
|
|
|
24 |
dataset:
|
25 |
name: surrey-nlp/PLOD-unfiltered
|
26 |
type: token-classification
|
27 |
args: PLODunfiltered
|
28 |
metrics:
|
29 |
-
-
|
30 |
-
type: precision
|
31 |
value: 0.9655166719570215
|
32 |
-
|
33 |
-
|
34 |
value: 0.9608483288141474
|
35 |
-
|
36 |
-
|
37 |
value: 0.9631768437660728
|
38 |
-
|
39 |
-
|
40 |
value: 0.9589410429715819
|
|
|
41 |
---
|
42 |
|
43 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
license: apache-2.0
|
5 |
tags:
|
6 |
- generated_from_trainer
|
|
|
11 |
- recall
|
12 |
- f1
|
13 |
- accuracy
|
|
|
|
|
14 |
widget:
|
15 |
+
- text: Light dissolved inorganic carbon (DIC) resulting from the oxidation of hydrocarbons.
|
16 |
+
- text: RAFs are plotted for a selection of neurons in the dorsal zone (DZ) of auditory
|
17 |
+
cortex in Figure 1.
|
18 |
+
- text: Images were acquired using a GE 3.0T MRI scanner with an upgrade for echo-planar
|
19 |
+
imaging (EPI).
|
20 |
+
base_model: albert-large-v2
|
21 |
model-index:
|
22 |
- name: albert-large-v2-finetuned-ner_with_callbacks
|
23 |
results:
|
24 |
- task:
|
|
|
25 |
type: token-classification
|
26 |
+
name: Token Classification
|
27 |
dataset:
|
28 |
name: surrey-nlp/PLOD-unfiltered
|
29 |
type: token-classification
|
30 |
args: PLODunfiltered
|
31 |
metrics:
|
32 |
+
- type: precision
|
|
|
33 |
value: 0.9655166719570215
|
34 |
+
name: Precision
|
35 |
+
- type: recall
|
36 |
value: 0.9608483288141474
|
37 |
+
name: Recall
|
38 |
+
- type: f1
|
39 |
value: 0.9631768437660728
|
40 |
+
name: F1
|
41 |
+
- type: accuracy
|
42 |
value: 0.9589410429715819
|
43 |
+
name: Accuracy
|
44 |
---
|
45 |
|
46 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|