ba-claim
/

electra

@@ -6,81 +6,29 @@
     example_title: "Example: No"
 ---
-****Examples****
-37440	There's no way they would give it up.	No
-37463	They're able to charge women more for the same exact procedure a man gets.	Yes
-# Model Card for Model ID
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 ## Training Details
@@ -101,114 +49,12 @@ Use the code below to get started with the model.
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     example_title: "Example: No"
 ---
+# ba-claim/electra
 ## Model Details
+Fine-tuned ELECTRA Model for Claim Relevance Identification
 ### Model Description
+This Hugging Face model is a fine-tuned ELECTRA model specifically developed for identifying relevant claims in the context of combating fake news.
+The model was trained as part of a bachelor thesis project that aimed to automate the process of fact-checking by automatically identifying claims of interest.
+The project participated in the CheckThat!2023 competition, focusing on task 1B, organized by the Conference and Labs of the Evaluation Forum (CLEF).
+The CheckThat! lab provided relevant training data for predicting the checkworthiness of claims.
+The data was analyzed, and various transformer models, including BERT and ELECTRA, were experimented with to identify the most effective architecture.
+Overall, this fine-tuned ELECTRA model serves as a valuable tool in automating the identification of relevant claims, reducing the need
+for manual fact-checking and contributing to the efforts in mitigating the challenges posed by the widespread dissemination of fake news.
+#### Examples
+37440	There's no way they would give it up.	No
+37463	They're able to charge women more for the same exact procedure a man gets.	Yes
 ## Training Details
 #### Training Hyperparameters
+|Hyperparameters||
+|----|----|
+| Learning Rate|2.650e-05|
+| Weight Decay|91.942e-04|
+| Batch Size|32|
+| Number of Epochs|5|