Commit
·
1b2c282
1
Parent(s):
b6ccc91
formatting
Browse files
README.md
CHANGED
@@ -5,6 +5,10 @@ tags:
|
|
5 |
model-index:
|
6 |
- name: As1b-distilbert_classifier
|
7 |
results: []
|
|
|
|
|
|
|
|
|
8 |
---
|
9 |
|
10 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
@@ -12,22 +16,10 @@ probably proofread and complete it, then remove this comment. -->
|
|
12 |
|
13 |
# As1b-distilbert_classifier
|
14 |
|
15 |
-
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on
|
|
|
16 |
It achieves the following results on the evaluation set:
|
17 |
|
18 |
-
|
19 |
-
## Model description
|
20 |
-
|
21 |
-
More information needed
|
22 |
-
|
23 |
-
## Intended uses & limitations
|
24 |
-
|
25 |
-
More information needed
|
26 |
-
|
27 |
-
## Training and evaluation data
|
28 |
-
|
29 |
-
More information needed
|
30 |
-
|
31 |
## Training procedure
|
32 |
|
33 |
### Training hyperparameters
|
@@ -38,6 +30,7 @@ The following hyperparameters were used during training:
|
|
38 |
|
39 |
### Training results
|
40 |
|
|
|
41 |
|
42 |
|
43 |
### Framework versions
|
@@ -45,4 +38,4 @@ The following hyperparameters were used during training:
|
|
45 |
- Transformers 4.28.0
|
46 |
- TensorFlow 2.12.0
|
47 |
- Datasets 2.12.0
|
48 |
-
- Tokenizers 0.13.3
|
|
|
5 |
model-index:
|
6 |
- name: As1b-distilbert_classifier
|
7 |
results: []
|
8 |
+
language:
|
9 |
+
- en
|
10 |
+
metrics:
|
11 |
+
- accuracy
|
12 |
---
|
13 |
|
14 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
|
|
16 |
|
17 |
# As1b-distilbert_classifier
|
18 |
|
19 |
+
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the 20 newsgroups dataset.
|
20 |
+
The [details](https://scikit-learn.org/stable/datasets/real_world.html#newsgroups-dataset) about the dataset from Scikit Learn.
|
21 |
It achieves the following results on the evaluation set:
|
22 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
23 |
## Training procedure
|
24 |
|
25 |
### Training hyperparameters
|
|
|
30 |
|
31 |
### Training results
|
32 |
|
33 |
+
Achieved 83.4% accuracy.
|
34 |
|
35 |
|
36 |
### Framework versions
|
|
|
38 |
- Transformers 4.28.0
|
39 |
- TensorFlow 2.12.0
|
40 |
- Datasets 2.12.0
|
41 |
+
- Tokenizers 0.13.3
|