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README.md

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 ---
-license: apache-2.0
-tags:
-- generated_from_keras_callback
-model-index:
-- name: nandysoham16/0-clustered_aug
-  results: []
+language: en
+license: mit
+library_name: keras
 ---
 
-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
+# Model Card for Model ID
 
-# nandysoham16/0-clustered_aug
+<!-- Provide a quick summary of what the model is/does. -->
 
-This model is a fine-tuned version of [Rocketknight1/distilbert-base-uncased-finetuned-squad](https://huggingface.co/Rocketknight1/distilbert-base-uncased-finetuned-squad) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Train Loss: 0.6211
-- Train End Logits Accuracy: 0.8323
-- Train Start Logits Accuracy: 0.7736
-- Validation Loss: 0.6657
-- Validation End Logits Accuracy: 0.8126
-- Validation Start Logits Accuracy: 0.7432
-- Epoch: 1
 
-## Model description
 
-More information needed
+# Model Details
 
-## Intended uses & limitations
+## Model Description
 
-More information needed
+<!-- Provide a longer summary of what this model is. -->
 
-## Training and evaluation data
+['Canadian_Armed_Forces', 'United_Nations_Population_Fund', 'National_Archives_and_Records_Administration', 'Arena_Football_League', 'Ministry_of_Defence_(United_Kingdom)', 'Identity_(social_science)', 'Federal_Aviation_Administration', 'Military_history_of_the_United_States', 'Federal_Bureau_of_Investigation', 'Anti-aircraft_warfare', 'United_States_Army', 'Freemasonry', 'Nonprofit_organization', 'Affirmative_action_in_the_United_States', 'European_Central_Bank', 'Group_(mathematics)', 'Federalism', 'Central_Intelligence_Agency', 'Association_football', 'United_States_Air_Force']
 
-More information needed
+- **Developed by:** nandysoham
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** en
+- **License:** mit
+- **Finetuned from model [optional]:** [More Information Needed]
 
-## Training procedure
+## Model Sources [optional]
 
-### Training hyperparameters
+<!-- Provide the basic links for the model. -->
 
-The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 626, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
-- training_precision: float32
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
 
-### Training results
+# Uses
 
-| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
-|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
-| 0.9909     | 0.7450                    | 0.6554                      | 0.7298          | 0.7919                         | 0.7217                           | 0     |
-| 0.6211     | 0.8323                    | 0.7736                      | 0.6657          | 0.8126                         | 0.7432                           | 1     |
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 
+## Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+## Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+## Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+# Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+## Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+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
+
+<!-- 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. -->
+
+[More Information Needed]
+
+## Training Procedure [optional]
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+### Preprocessing
+
+[More Information Needed]
+
+### Speeds, Sizes, Times
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+# Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+## Testing Data, Factors & Metrics
+
+### Testing Data
+
+<!-- This should link to a Data Card if possible. -->
+
+[More Information Needed]
+
+### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+## Results
+
+[More Information Needed]
+
+### Summary
+
+
+
+# Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+# Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+# Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+# More Information [optional]
+
+[More Information Needed]
+
+# Model Card Authors [optional]
+
+[More Information Needed]
+
+# Model Card Contact
+
+[More Information Needed]
 
-### Framework versions
 
-- Transformers 4.26.0
-- TensorFlow 2.9.2
-- Datasets 2.9.0
-- Tokenizers 0.13.2