Update README.md
Browse files
README.md
CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
# BERT-evidence-types
|
16 |
|
17 |
-
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the
|
18 |
It achieves the following results on the evaluation set:
|
19 |
- Loss: 2.8008
|
20 |
- Macro f1: 0.4227
|
@@ -24,17 +24,20 @@ It achieves the following results on the evaluation set:
|
|
24 |
|
25 |
## Model description
|
26 |
|
27 |
-
|
28 |
|
29 |
-
|
30 |
-
|
31 |
-
|
|
|
|
|
|
|
|
|
|
|
32 |
|
33 |
## Training and evaluation data
|
34 |
|
35 |
-
|
36 |
-
|
37 |
-
## Training procedure
|
38 |
|
39 |
### Training hyperparameters
|
40 |
|
|
|
14 |
|
15 |
# BERT-evidence-types
|
16 |
|
17 |
+
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the evidence types dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
- Loss: 2.8008
|
20 |
- Macro f1: 0.4227
|
|
|
24 |
|
25 |
## Model description
|
26 |
|
27 |
+
This model will give a senctence one of eight labels:
|
28 |
|
29 |
+
- assumption
|
30 |
+
- anecdote
|
31 |
+
- testimony
|
32 |
+
- definition
|
33 |
+
- statistics/study
|
34 |
+
- other
|
35 |
+
- none
|
36 |
+
- continue
|
37 |
|
38 |
## Training and evaluation data
|
39 |
|
40 |
+
The data set, as well as the code that was used to fine tune this model can be found in the GitHub repository [BA-Thesis-Information-Science-Persuasion-Strategies](https://github.com/mariekevdh/BA-Thesis-Information-Science-Persuasion-Strategies)
|
|
|
|
|
41 |
|
42 |
### Training hyperparameters
|
43 |
|