Aref Sadeghian
commited on
Commit
•
1a5a1f8
1
Parent(s):
e5c6db3
Update README.md
Browse files
README.md
CHANGED
@@ -10,9 +10,8 @@ license: mit
|
|
10 |
briefly:
|
11 |
* We forced to prepair CANERCorpus dataset which is avialable at [huggingface](https://huggingface.co/datasets/caner/). The dataset was not in the BIO format so model couldn't learn anything from it. We used an html version of dataset available on github and extracted a HuggingFace format dataset from it with BIO tags.
|
12 |
* Fine tunning started from a pre-traind model named "bert-base-arabertv02" and after 3 epoch of training model on the above mentioned dataset (80% splitted to training data and 20% to validation data), reched the following results: (evaluation is done by using compute metrics of python evaluate module. note that precision is overall precision, recall is overall recall and so on.)
|
13 |
-
|
14 |
-
|
15 |
-
</p>
|
16 |
|
17 |
* Trained model is available at [huggingface](https://huggingface.co/ArefSadeghian/arabert-finetuned-caner) and you can use it with the following code snippet:
|
18 |
|
|
|
10 |
briefly:
|
11 |
* We forced to prepair CANERCorpus dataset which is avialable at [huggingface](https://huggingface.co/datasets/caner/). The dataset was not in the BIO format so model couldn't learn anything from it. We used an html version of dataset available on github and extracted a HuggingFace format dataset from it with BIO tags.
|
12 |
* Fine tunning started from a pre-traind model named "bert-base-arabertv02" and after 3 epoch of training model on the above mentioned dataset (80% splitted to training data and 20% to validation data), reched the following results: (evaluation is done by using compute metrics of python evaluate module. note that precision is overall precision, recall is overall recall and so on.)
|
13 |
+
|
14 |
+
![alt text](./eval.jpg)
|
|
|
15 |
|
16 |
* Trained model is available at [huggingface](https://huggingface.co/ArefSadeghian/arabert-finetuned-caner) and you can use it with the following code snippet:
|
17 |
|