salbatarni
commited on
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: 0.0
|
19 |
-
- Mse: 0.
|
20 |
|
21 |
## Model description
|
22 |
|
@@ -45,23 +45,23 @@ The following hyperparameters were used during training:
|
|
45 |
|
46 |
### Training results
|
47 |
|
48 |
-
| Training Loss | Epoch | Step | Validation Loss | Qwk
|
49 |
-
|
50 |
-
| No log | 0.6667 | 2 | 0.
|
51 |
-
| No log | 1.3333 | 4 | 0.
|
52 |
-
| No log | 2.0 | 6 | 0.
|
53 |
-
| No log | 2.6667 | 8 | 0.
|
54 |
-
| No log | 3.3333 | 10 | 0.
|
55 |
-
| No log | 4.0 | 12 | 0.
|
56 |
-
| No log | 4.6667 | 14 | 0.
|
57 |
-
| No log | 5.3333 | 16 | 0.
|
58 |
-
| No log | 6.0 | 18 | 0.
|
59 |
-
| No log | 6.6667 | 20 | 0.
|
60 |
-
| No log | 7.3333 | 22 | 0.
|
61 |
-
| No log | 8.0 | 24 | 0.
|
62 |
-
| No log | 8.6667 | 26 | 0.
|
63 |
-
| No log | 9.3333 | 28 | 0.
|
64 |
-
| No log | 10.0 | 30 | 0.
|
65 |
|
66 |
|
67 |
### Framework versions
|
|
|
3 |
tags:
|
4 |
- generated_from_trainer
|
5 |
model-index:
|
6 |
+
- name: arabert_baseline_relevance_task3_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_relevance_task3_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: 0.4533
|
18 |
- Qwk: 0.0
|
19 |
+
- Mse: 0.4662
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
45 |
|
46 |
### Training results
|
47 |
|
48 |
+
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
|
49 |
+
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
|
50 |
+
| No log | 0.6667 | 2 | 0.5670 | 0.0237 | 0.5557 |
|
51 |
+
| No log | 1.3333 | 4 | 0.2239 | 0.0 | 0.2180 |
|
52 |
+
| No log | 2.0 | 6 | 0.2912 | 0.0 | 0.2878 |
|
53 |
+
| No log | 2.6667 | 8 | 0.3225 | 0.0 | 0.3205 |
|
54 |
+
| No log | 3.3333 | 10 | 0.3274 | 0.0 | 0.3276 |
|
55 |
+
| No log | 4.0 | 12 | 0.3260 | 0.0 | 0.3295 |
|
56 |
+
| No log | 4.6667 | 14 | 0.3269 | 0.0 | 0.3323 |
|
57 |
+
| No log | 5.3333 | 16 | 0.3627 | 0.0 | 0.3697 |
|
58 |
+
| No log | 6.0 | 18 | 0.3851 | 0.0 | 0.3932 |
|
59 |
+
| No log | 6.6667 | 20 | 0.3452 | 0.0 | 0.3543 |
|
60 |
+
| No log | 7.3333 | 22 | 0.3589 | 0.0 | 0.3692 |
|
61 |
+
| No log | 8.0 | 24 | 0.3714 | 0.0 | 0.3825 |
|
62 |
+
| No log | 8.6667 | 26 | 0.4113 | 0.0 | 0.4233 |
|
63 |
+
| No log | 9.3333 | 28 | 0.4400 | 0.0 | 0.4526 |
|
64 |
+
| No log | 10.0 | 30 | 0.4533 | 0.0 | 0.4662 |
|
65 |
|
66 |
|
67 |
### Framework versions
|