aparnabhat
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Update README.md
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README.md
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- **Language(s) (NLP):** {{ Python }}
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- **Finetuned from model [optional]:** {{ bert-base-multilingual-cased }}
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##
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<!-- Provide the basic links for the model. -->
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- **Repository:** {{ repo | default("[More Information Needed]", true)}}
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<!-- - **Paper [optional]:** {{ paper | default("[More Information Needed]", true)}}
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- **Demo [optional]:** {{ demo | default("[More Information Needed]", true)}} -->
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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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{{ direct_use | default("[More Information Needed]", true)}}
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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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{{ downstream_use | default("[More Information Needed]", true)}}
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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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{{ out_of_scope_use | default("[More Information Needed]", true)}}
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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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{{ bias_risks_limitations | default("[More Information Needed]", true)}}
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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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{{ bias_recommendations | default("Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.", true)}}
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# Training Details
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## Training Data
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<!-- This should link to a Data 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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{{ training_data | default("[More Information Needed]", true)}}
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## Training Procedure [optional]
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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
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{{ preprocessing | default("[More Information Needed]", true)}}
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### Speeds, Sizes, Times
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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{{ speeds_sizes_times | default("[More Information Needed]", true)}}
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# Evaluation
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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 Data Card if possible. -->
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{{ testing_data | default("[More Information Needed]", true)}}
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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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{{ testing_factors | default("[More Information Needed]", true)}}
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### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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{{ testing_metrics | default("[More Information Needed]", true)}}
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## Results
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- **Language(s) (NLP):** {{ Python }}
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- **Finetuned from model [optional]:** {{ bert-base-multilingual-cased }}
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## Labels
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{{['O', 'B-PER', 'I-PER', 'B-ORG', 'I-ORG', 'B-LOC', 'I-LOC']}}
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{{0,1,2,3,4,5,6}}
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## Results
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