Update README.md
Browse files
README.md
CHANGED
|
@@ -16,28 +16,16 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 16 |
|
| 17 |
# roberta_finetuned_astronomicalNER
|
| 18 |
|
| 19 |
-
This model is a fine-tuned version of [xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english) on
|
| 20 |
-
|
|
|
|
|
|
|
| 21 |
- Loss: 0.1416
|
| 22 |
- Precision: 0.7659
|
| 23 |
- Recall: 0.7986
|
| 24 |
- F1: 0.7819
|
| 25 |
- Accuracy: 0.9640
|
| 26 |
|
| 27 |
-
## Model description
|
| 28 |
-
|
| 29 |
-
More information needed
|
| 30 |
-
|
| 31 |
-
## Intended uses & limitations
|
| 32 |
-
|
| 33 |
-
More information needed
|
| 34 |
-
|
| 35 |
-
## Training and evaluation data
|
| 36 |
-
|
| 37 |
-
More information needed
|
| 38 |
-
|
| 39 |
-
## Training procedure
|
| 40 |
-
|
| 41 |
### Training hyperparameters
|
| 42 |
|
| 43 |
The following hyperparameters were used during training:
|
|
|
|
| 16 |
|
| 17 |
# roberta_finetuned_astronomicalNER
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english) for NER on astronomical objects.
|
| 20 |
+
The dataset comes from the Shared Task [DEAL: Detecting Entities in the Astrophysics Literature](https://ui.adsabs.harvard.edu/WIESP/2022/SharedTasks)
|
| 21 |
+
|
| 22 |
+
The model achieves the following results on the evaluation set:
|
| 23 |
- Loss: 0.1416
|
| 24 |
- Precision: 0.7659
|
| 25 |
- Recall: 0.7986
|
| 26 |
- F1: 0.7819
|
| 27 |
- Accuracy: 0.9640
|
| 28 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 29 |
### Training hyperparameters
|
| 30 |
|
| 31 |
The following hyperparameters were used during training:
|