--- library_name: transformers tags: [] --- # Model Card for Model ID ## Model Details ### Model Description 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:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Downstream Use [optional] [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### Recommendations Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data [More Information Needed] ### Training Procedure #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Factors [More Information Needed] #### Metrics **Training loss epoch:** 0.005518221071622179 \ **Training accuracy epoch:** 0.9964884720585756 \ **Validation Loss:** 0.0042953278648501505 \ **Validation Accuracy:** 0.9976648087554244 [More Information Needed] ### Results | Entity | Precision | Recall | F1-Score | Support | |------------|-----------|--------|----------|---------| | ACCOUNT | 0.99 | 1.00 | 1.00 | 6000 | | DOB | 1.00 | 1.00 | 1.00 | 1631 | | EMAIL | 1.00 | 1.00 | 1.00 | 12169 | | ID | 1.00 | 0.99 | 0.99 | 4321 | | LOCATION | 0.99 | 0.99 | 0.99 | 11748 | | PERSON | 0.99 | 0.98 | 0.99 | 7339 | | PHONE | 1.00 | 1.00 | 1.00 | 7272 | | **micro avg** | 0.99 | 0.99 | 0.99 | 50480 | | **macro avg** | 1.00 | 1.00 | 1.00 | 50480 | | **weighted avg** | 0.99 | 0.99 | 0.99 | 50480 | #### Summary ## Model Examination [optional] [More Information Needed] ## Environmental Impact Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]