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# Model Card for Model ID
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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**Training loss epoch:** 0.005518221071622179 \
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**Training accuracy epoch:** 0.9964884720585756 \
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**Validation Loss:** 0.0042953278648501505 \
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**Validation Accuracy:** 0.9976648087554244
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[More Information Needed]
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### Results
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| Entity | Precision | Recall | F1-Score | Support |
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| ACCOUNT | 0.99 | 1.00 | 1.00 | 6000 |
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| DOB | 1.00 | 1.00 | 1.00 | 1631 |
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| EMAIL | 1.00 | 1.00 | 1.00 | 12169 |
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| ID | 1.00 | 0.99 | 0.99 | 4321 |
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| LOCATION | 0.99 | 0.99 | 0.99 | 11748 |
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| PERSON | 0.99 | 0.98 | 0.99 | 7339 |
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| PHONE | 1.00 | 1.00 | 1.00 | 7272 |
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| **micro avg** | 0.99 | 0.99 | 0.99 | 50480 |
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| **macro avg** | 1.00 | 1.00 | 1.00 | 50480 |
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| **weighted avg** | 0.99 | 0.99 | 0.99 | 50480 |
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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## Model Card Contact
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[More Information Needed]
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# Model Card for Model ID
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/FacebookAI/xlm-roberta-large-finetuned-conll03-english) on a synthetic Named Entity Recognition (NER) dataset in Bahasa Indonesia.
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The dataset contains 25,000 samples in BIO format with annotations for various entity types.
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Base Model:** Roberta
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- **Model type:** Token Classification
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- **Language(s) (NLP):** Bahasa Indonesia
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- **Finetuned from model [optional]:** xlm-roberta-large-finetuned-conll03-english
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<!-- ### Model Sources [optional] -->
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<!-- Provide the basic links for the model. -->
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<!--
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed] -->
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<!-- ## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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<!-- ### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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<!-- [More Information Needed] -->
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<!-- ### Downstream Use [optional] -->
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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<!-- [More Information Needed] -->
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<!-- ### Out-of-Scope Use -->
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> --> -->
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<!-- [More Information Needed] -->
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<!-- ## Bias, Risks, and Limitations -->
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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<!-- [More Information Needed] -->
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<!-- ### Recommendations -->
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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<!-- ## How to Get Started with the Model -->
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Use the code below to get started with the model.
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<!-- [More Information Needed] -->
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<!-- ## Training Details -->
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### Training Performance
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| Epoch | Training Loss | Training Accuracy |
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|-------|------------------------|---------------------------|
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| 1 | 0.012390273481311305 | 0.9912830868740373 |
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| 2 | 0.002953063364330592 | 0.9979232802183077 |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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<!-- [More Information Needed] -->
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<!-- ### Training Procedure -->
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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<!-- #### Preprocessing [optional] -->
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<!-- [More Information Needed] -->
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<!-- #### Training Hyperparameters -->
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<!-- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> -->
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<!-- #### Speeds, Sizes, Times [optional] -->
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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<!-- [More Information Needed] -->
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### Performance
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| Entity Type | Precision | Recall | F1-Score | Support |
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|-------------|-----------|--------|----------|---------|
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| DATE_TIME | 1.00 | 0.99 | 0.99 | 1474 |
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| EMAIL | 1.00 | 1.00 | 1.00 | 8936 |
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| GENDER | 1.00 | 1.00 | 1.00 | 1142 |
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| LOC | 1.00 | 0.99 | 1.00 | 8295 |
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| PER | 1.00 | 1.00 | 1.00 | 17005 |
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| PHONE | 1.00 | 1.00 | 1.00 | 5845 |
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| SSN | 1.00 | 1.00 | 1.00 | 16654 |
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| **Micro Avg** | 1.00 | 1.00 | 1.00 | 59351 |
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| **Macro Avg** | 1.00 | 1.00 | 1.00 | 59351 |
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| **Weighted Avg** | 1.00 | 1.00 | 1.00 | 59351 |
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Validation Loss: 0.0009539824152059737
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Validation Accuracy: 0.999389430961554
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<!-- This section describes the evaluation protocols and provides the results. -->
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<!-- ### Testing Data, Factors & Metrics -->
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<!-- #### Testing Data -->
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<!-- This should link to a Dataset Card if possible. -->
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<!-- [More Information Needed] -->
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<!-- #### Factors -->
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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<!-- [More Information Needed] -->
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<!-- #### Summary -->
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<!-- -->
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<!-- ## Model Examination [optional] -->
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<!-- Relevant interpretability work for the model goes here -->
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<!-- [More Information Needed] -->
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<!-- ## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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<!-- 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). -->
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<!--
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed] -->
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<!-- ## Technical Specifications [optional] -->
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<!-- ### Model Architecture and Objective -->
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<!-- [More Information Needed] -->
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<!-- ### Compute Infrastructure -->
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<!-- [More Information Needed] -->
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<!-- -->
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<!-- #### Hardware -->
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<!-- [More Information Needed] -->
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<!-- #### Software -->
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<!-- [More Information Needed] -->
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<!-- ## Citation [optional] -->
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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<!-- **BibTeX:** -->
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<!-- [More Information Needed] -->
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<!-- **APA:** -->
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<!-- [More Information Needed] -->
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<!-- ## Glossary [optional] -->
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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<!-- [More Information Needed] -->
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<!-- ## More Information [optional] -->
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<!-- [More Information Needed] -->
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<!-- ## Model Card Authors [optional] -->
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<!-- [More Information Needed] -->
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<!-- ## Model Card Contact -->
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<!-- [More Information Needed] --> -->
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