Update README.md
Browse files
README.md
CHANGED
|
@@ -7,6 +7,8 @@ metrics:
|
|
| 7 |
model-index:
|
| 8 |
- name: my_awesome_model
|
| 9 |
results: []
|
|
|
|
|
|
|
| 10 |
---
|
| 11 |
|
| 12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -19,6 +21,8 @@ It achieves the following results on the evaluation set:
|
|
| 19 |
- Loss: 0.1580
|
| 20 |
- Accuracy: 0.976
|
| 21 |
|
|
|
|
|
|
|
| 22 |
## Model description
|
| 23 |
|
| 24 |
More information needed
|
|
@@ -57,4 +61,4 @@ The following hyperparameters were used during training:
|
|
| 57 |
- Transformers 4.29.2
|
| 58 |
- Pytorch 2.0.1+cu118
|
| 59 |
- Datasets 2.12.0
|
| 60 |
-
- Tokenizers 0.13.3
|
|
|
|
| 7 |
model-index:
|
| 8 |
- name: my_awesome_model
|
| 9 |
results: []
|
| 10 |
+
datasets:
|
| 11 |
+
- SetFit/bbc-news
|
| 12 |
---
|
| 13 |
|
| 14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 21 |
- Loss: 0.1580
|
| 22 |
- Accuracy: 0.976
|
| 23 |
|
| 24 |
+
News text classification on one of 5 categories: business, entertainment, politics, sport or tech.
|
| 25 |
+
|
| 26 |
## Model description
|
| 27 |
|
| 28 |
More information needed
|
|
|
|
| 61 |
- Transformers 4.29.2
|
| 62 |
- Pytorch 2.0.1+cu118
|
| 63 |
- Datasets 2.12.0
|
| 64 |
+
- Tokenizers 0.13.3
|