| | --- |
| | widget: |
| | - text: "They're able to charge women more for the same exact procedure a man gets." |
| | example_title: "Example: Yes" |
| | - text: "There's no way they would give it up." |
| | example_title: "Example: No" |
| | --- |
| | |
| | # ba-claim/electra |
| |
|
| | ## Model Details |
| | Fine-tuned ELECTRA Model for Claim Relevance Identification |
| |
|
| | Based on this model: https://huggingface.co/bhadresh-savani/electra-base-emotion |
| |
|
| | ### 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 |
| |
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| |
|
| | ## Training Details |
| |
|
| | |Hyperparameters|| |
| | |----|----| |
| | | Learning Rate|2.650e-05| |
| | | Weight Decay|91.942e-04| |
| | | Batch Size|32| |
| | | Number of Epochs|5| |
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