| --- |
| library_name: transformers |
| datasets: |
| - McAuley-Lab/Amazon-Reviews-2023 |
| license: mit |
| language: |
| - en |
| base_model: |
| - microsoft/deberta-v3-base |
| pipeline_tag: text-classification |
| --- |
| |
| # Model Card for Model ID |
|
|
| <!-- Provide a quick summary of what the model is/does. --> |
|
|
|
|
|
|
| ## Model Details |
|
|
| ### Model Description |
|
|
| <!-- Provide a longer summary of what this model is. --> |
|
|
| This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
|
|
| - **Developed by:** Ruchit Pokhrel and Sandra |
| - **Language(s) (NLP):** English |
| - **License:** MIT |
| - **Finetuned from model** microsoft/deberta-v3-base |
|
|
| ## Label |
|
|
| 0 --> Negative<br> |
| 1--> Neutral<br> |
| 2--> Positive |
|
|
|
|
| ## Metrics on Test Set |
| Accuracy-0.93 <br> |
| F1-0.92<br> |
| Precision-0.92<br> |
| Recall-0.93<br> |
| MCC-0.81<br> |
| Eval Loss-0.42 <br> |
