Commit
•
f629f7d
1
Parent(s):
ea78526
update model card README.md
Browse files
README.md
CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
17 |
|
18 |
This model is a fine-tuned version of [aubmindlab/araelectra-base-discriminator](https://huggingface.co/aubmindlab/araelectra-base-discriminator) on an unknown dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
-
- Macro F1: 0.
|
22 |
-
- Accuracy: 0.
|
23 |
-
- Precision: 0.
|
24 |
-
- Recall: 0.
|
25 |
|
26 |
## Model description
|
27 |
|
@@ -54,10 +54,10 @@ The following hyperparameters were used during training:
|
|
54 |
|
55 |
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy | Precision | Recall |
|
56 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|
|
57 |
-
| 0.
|
58 |
-
| 0.
|
59 |
-
| 0.
|
60 |
-
| 0.
|
61 |
|
62 |
|
63 |
### Framework versions
|
|
|
17 |
|
18 |
This model is a fine-tuned version of [aubmindlab/araelectra-base-discriminator](https://huggingface.co/aubmindlab/araelectra-base-discriminator) on an unknown dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.1317
|
21 |
+
- Macro F1: 0.9489
|
22 |
+
- Accuracy: 0.9505
|
23 |
+
- Precision: 0.9488
|
24 |
+
- Recall: 0.9490
|
25 |
|
26 |
## Model description
|
27 |
|
|
|
54 |
|
55 |
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy | Precision | Recall |
|
56 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|
|
57 |
+
| 0.3788 | 1.0 | 798 | 0.1687 | 0.9453 | 0.9473 | 0.9480 | 0.9431 |
|
58 |
+
| 0.2273 | 2.0 | 1597 | 0.1876 | 0.9200 | 0.9239 | 0.9306 | 0.9134 |
|
59 |
+
| 0.1611 | 3.0 | 2395 | 0.1317 | 0.9489 | 0.9505 | 0.9488 | 0.9490 |
|
60 |
+
| 0.0972 | 4.0 | 3192 | 0.1685 | 0.9484 | 0.9501 | 0.9489 | 0.9479 |
|
61 |
|
62 |
|
63 |
### Framework versions
|