salbatarni
commited on
Commit
•
fe4fd2e
1
Parent(s):
7dfeb2a
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 |
|
@@ -45,28 +45,38 @@ The following hyperparameters were used during training:
|
|
45 |
|
46 |
### Training results
|
47 |
|
48 |
-
| Training Loss | Epoch
|
49 |
-
|
50 |
-
| No log | 0.
|
51 |
-
| No log |
|
52 |
-
| No log | 1.
|
53 |
-
| No log |
|
54 |
-
| No log |
|
55 |
-
| No log |
|
56 |
-
| No log |
|
57 |
-
| No log |
|
58 |
-
| No log |
|
59 |
-
| No log |
|
60 |
-
| No log |
|
61 |
-
| No log |
|
62 |
-
| No log |
|
63 |
-
| No log |
|
64 |
-
| No log |
|
65 |
-
| No log |
|
66 |
-
| No log |
|
67 |
-
| No log |
|
68 |
-
| No log |
|
69 |
-
| No log |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
70 |
|
71 |
|
72 |
### Framework versions
|
|
|
3 |
tags:
|
4 |
- generated_from_trainer
|
5 |
model-index:
|
6 |
+
- name: arabert_baseline_style_task7_fold0
|
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_task7_fold0
|
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: 0.4980
|
18 |
+
- Qwk: 0.5556
|
19 |
+
- Mse: 0.4980
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
45 |
|
46 |
### Training results
|
47 |
|
48 |
+
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
|
49 |
+
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
|
50 |
+
| No log | 0.3333 | 2 | 1.5251 | 0.0993 | 1.5251 |
|
51 |
+
| No log | 0.6667 | 4 | 0.8432 | 0.4389 | 0.8432 |
|
52 |
+
| No log | 1.0 | 6 | 1.0961 | 0.4310 | 1.0961 |
|
53 |
+
| No log | 1.3333 | 8 | 1.4643 | 0.4246 | 1.4643 |
|
54 |
+
| No log | 1.6667 | 10 | 0.7875 | 0.4595 | 0.7875 |
|
55 |
+
| No log | 2.0 | 12 | 0.5137 | 0.6346 | 0.5137 |
|
56 |
+
| No log | 2.3333 | 14 | 0.6935 | 0.5893 | 0.6935 |
|
57 |
+
| No log | 2.6667 | 16 | 0.6820 | 0.5547 | 0.6820 |
|
58 |
+
| No log | 3.0 | 18 | 0.8761 | 0.4868 | 0.8761 |
|
59 |
+
| No log | 3.3333 | 20 | 1.0195 | 0.4553 | 1.0195 |
|
60 |
+
| No log | 3.6667 | 22 | 0.7568 | 0.4924 | 0.7568 |
|
61 |
+
| No log | 4.0 | 24 | 0.5131 | 0.5471 | 0.5131 |
|
62 |
+
| No log | 4.3333 | 26 | 0.4657 | 0.5627 | 0.4657 |
|
63 |
+
| No log | 4.6667 | 28 | 0.4764 | 0.5471 | 0.4764 |
|
64 |
+
| No log | 5.0 | 30 | 0.5337 | 0.4983 | 0.5337 |
|
65 |
+
| No log | 5.3333 | 32 | 0.6627 | 0.4983 | 0.6627 |
|
66 |
+
| No log | 5.6667 | 34 | 0.6382 | 0.4983 | 0.6382 |
|
67 |
+
| No log | 6.0 | 36 | 0.5386 | 0.4983 | 0.5386 |
|
68 |
+
| No log | 6.3333 | 38 | 0.4986 | 0.5398 | 0.4986 |
|
69 |
+
| No log | 6.6667 | 40 | 0.4838 | 0.5471 | 0.4838 |
|
70 |
+
| No log | 7.0 | 42 | 0.4885 | 0.5471 | 0.4885 |
|
71 |
+
| No log | 7.3333 | 44 | 0.5346 | 0.5398 | 0.5346 |
|
72 |
+
| No log | 7.6667 | 46 | 0.6171 | 0.5090 | 0.6171 |
|
73 |
+
| No log | 8.0 | 48 | 0.6649 | 0.5090 | 0.6649 |
|
74 |
+
| No log | 8.3333 | 50 | 0.6483 | 0.5090 | 0.6483 |
|
75 |
+
| No log | 8.6667 | 52 | 0.5915 | 0.5090 | 0.5915 |
|
76 |
+
| No log | 9.0 | 54 | 0.5598 | 0.4983 | 0.5598 |
|
77 |
+
| No log | 9.3333 | 56 | 0.5257 | 0.5556 | 0.5257 |
|
78 |
+
| No log | 9.6667 | 58 | 0.5073 | 0.5556 | 0.5073 |
|
79 |
+
| No log | 10.0 | 60 | 0.4980 | 0.5556 | 0.4980 |
|
80 |
|
81 |
|
82 |
### Framework versions
|