salbatarni
commited on
Commit
•
ec6b9b5
1
Parent(s):
d801ac2
End of training
Browse files
README.md
CHANGED
@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
|
|
3 |
tags:
|
4 |
- generated_from_trainer
|
5 |
model-index:
|
6 |
-
- name:
|
7 |
results: []
|
8 |
---
|
9 |
|
10 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
11 |
should probably proofread and complete it, then remove this comment. -->
|
12 |
|
13 |
-
#
|
14 |
|
15 |
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
|
16 |
It achieves the following results on the evaluation set:
|
17 |
-
- Loss: 0.
|
18 |
-
- Qwk: 0.
|
19 |
-
- Mse: 0.
|
20 |
|
21 |
## Model description
|
22 |
|
@@ -45,18 +45,18 @@ The following hyperparameters were used during training:
|
|
45 |
|
46 |
### Training results
|
47 |
|
48 |
-
| Training Loss | Epoch | Step | Validation Loss | Qwk
|
49 |
-
|
50 |
-
| No log | 1.0 | 2 | 3.
|
51 |
-
| No log | 2.0 | 4 |
|
52 |
-
| No log | 3.0 | 6 |
|
53 |
-
| No log | 4.0 | 8 | 0.
|
54 |
-
| No log | 5.0 | 10 | 0.
|
55 |
-
| No log | 6.0 | 12 | 0.
|
56 |
-
| No log | 7.0 | 14 | 0.
|
57 |
-
| No log | 8.0 | 16 | 0.
|
58 |
-
| No log | 9.0 | 18 | 0.
|
59 |
-
| No log | 10.0 | 20 | 0.
|
60 |
|
61 |
|
62 |
### Framework versions
|
|
|
3 |
tags:
|
4 |
- generated_from_trainer
|
5 |
model-index:
|
6 |
+
- name: arabert_baseline_style_task4_fold1
|
7 |
results: []
|
8 |
---
|
9 |
|
10 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
11 |
should probably proofread and complete it, then remove this comment. -->
|
12 |
|
13 |
+
# arabert_baseline_style_task4_fold1
|
14 |
|
15 |
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
|
16 |
It achieves the following results on the evaluation set:
|
17 |
+
- Loss: 0.2941
|
18 |
+
- Qwk: 0.4545
|
19 |
+
- Mse: 0.2941
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
45 |
|
46 |
### Training results
|
47 |
|
48 |
+
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
|
49 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
|
50 |
+
| No log | 1.0 | 2 | 3.5794 | 0.0 | 3.5794 |
|
51 |
+
| No log | 2.0 | 4 | 2.3016 | 0.0 | 2.3016 |
|
52 |
+
| No log | 3.0 | 6 | 1.5677 | -0.0769 | 1.5677 |
|
53 |
+
| No log | 4.0 | 8 | 0.9593 | 0.0 | 0.9593 |
|
54 |
+
| No log | 5.0 | 10 | 0.4937 | 0.0 | 0.4937 |
|
55 |
+
| No log | 6.0 | 12 | 0.3911 | -0.375 | 0.3911 |
|
56 |
+
| No log | 7.0 | 14 | 0.3754 | 0.0 | 0.3754 |
|
57 |
+
| No log | 8.0 | 16 | 0.3336 | 0.0588 | 0.3336 |
|
58 |
+
| No log | 9.0 | 18 | 0.3020 | 0.4545 | 0.3020 |
|
59 |
+
| No log | 10.0 | 20 | 0.2941 | 0.4545 | 0.2941 |
|
60 |
|
61 |
|
62 |
### Framework versions
|