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arabert-finetuned-caner

Token Classification

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Aref Sadeghian commited on Apr 1, 2023

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@@ -10,9 +10,8 @@ license: mit
 briefly:
 * 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.
 * 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.)
-<p align="center">
-    <img src="https://huggingface.co/ArefSadeghian/arabert-finetuned-caner/blob/main/eval.jpg" style="width: 80%;">
-</p>
 * Trained model is available at [huggingface](https://huggingface.co/ArefSadeghian/arabert-finetuned-caner) and you can use it with the following code snippet:

 briefly:
 * 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.
 * 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.)
+![alt text](./eval.jpg)
 * Trained model is available at [huggingface](https://huggingface.co/ArefSadeghian/arabert-finetuned-caner) and you can use it with the following code snippet: