# 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. -->

- **Developed by:** [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]

## 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 

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

#### Preprocessing [optional]

[More Information Needed]

#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

## 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]

#### Metrics

<!-- These are the evaluation metrics being used, ideally with a description of why. -->

[More Information Needed]

### Results

[More Information Needed]

#### Summary

## Technical Specifications [optional]

### Model Architecture and Objective

[More Information Needed]


## Model Card Authors [optional]

[More Information Needed]

{"language": ["en"], "license": "mit", "tags": ["text-classification", "Emotion Classification"], "datasets": ["dair-ai/emotion"], "metrics": ["accuracy"], "model-index": [{"name": "roberta-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "type": "emotion", "split": "test"}, "metrics": [{"type": "accuracy", "value": 0.933, "name": "Accuracy"}]}]}]}
transformers pytorch ma2za/roberta-emotion feature-extraction text-classification Emotion Classification custom_code en dataset:dair-ai/emotion license:mit model-index has_space region:us
TAGS
#transformers #pytorch #ma2za/roberta-emotion #feature-extraction #text-classification #Emotion Classification #custom_code #en #dataset-dair-ai/emotion #license-mit #model-index #has_space #region-us 

# Model Card for Model ID



## Model Details

### Model Description



- Developed by: 
- Shared by [optional]: 
- Model type: 
- Language(s) (NLP): 
- License: 
- Finetuned from model [optional]: 

## How to Get Started with the Model

Use the code below to get started with the model.



## Training Details

### Training Data





### Training Procedure 



#### Preprocessing [optional]



#### Training Hyperparameters

- Training regime:  

## Evaluation



### Testing Data, Factors & Metrics

#### Testing Data





#### Metrics





### Results



#### Summary

## Technical Specifications [optional]

### Model Architecture and Objective




## Model Card Authors [optional]



# Model Card for Model ID ## Model Details ### Model Description



- Developed by: 
- Shared by [optional]: 
- Model type: 
- Language(s) (NLP): 
- License: 
- Finetuned from model [optional]: ## How to Get Started with the Model

Use the code below to get started with the model. ## Training Details ### Training Data ### Training Procedure #### Preprocessing [optional] #### Training Hyperparameters

- Training regime: ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data #### Metrics ### Results #### Summary ## Technical Specifications [optional] ### Model Architecture and Objective ## Model Card Authors [optional]
TAGS
#transformers #pytorch #ma2za/roberta-emotion #feature-extraction #text-classification #Emotion Classification #custom_code #en #dataset-dair-ai/emotion #license-mit #model-index #has_space #region-us 
 # Model Card for Model ID ## Model Details ### Model Description



- Developed by: 
- Shared by [optional]: 
- Model type: 
- Language(s) (NLP): 
- License: 
- Finetuned from model [optional]: ## How to Get Started with the Model

Use the code below to get started with the model. ## Training Details ### Training Data ### Training Procedure #### Preprocessing [optional] #### Training Hyperparameters

- Training regime: ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data #### Metrics ### Results #### Summary ## Technical Specifications [optional] ### Model Architecture and Objective ## Model Card Authors [optional]
TAGS
#transformers #pytorch #ma2za/roberta-emotion #feature-extraction #text-classification #Emotion Classification #custom_code #en #dataset-dair-ai/emotion #license-mit #model-index #has_space #region-us 
# Model Card for Model ID## Model Details### Model Description



- Developed by: 
- Shared by [optional]: 
- Model type: 
- Language(s) (NLP): 
- License: 
- Finetuned from model [optional]:## How to Get Started with the Model

Use the code below to get started with the model.## Training Details### Training Data### Training Procedure#### Preprocessing [optional]#### Training Hyperparameters

- Training regime:## Evaluation### Testing Data, Factors & Metrics#### Testing Data#### Metrics### Results#### Summary## Technical Specifications [optional]### Model Architecture and Objective## Model Card Authors [optional]