README.md

metadata

library_name: transformers
license: mit
language:
  - en
base_model:
  - google-bert/bert-base-uncased
pipeline_tag: text-classification

Model Card for Model ID

Texts text input and classifies the text into 8 classes of emotions- neutral, anger, love, fear, hate, happiness, sadness, surprise

Model Details

Model Description

• Developed by: Antareep, Eswar, Subhasish
• Model type: Large Language Model(LLM)
• Language(s) (NLP): English
• License: MIT
• Finetuned from model: BERT-Base

Model Sources [optional]

• Repository: https://huggingface.co/google-bert/bert-base-uncased

Uses

• Fine-tune further on more data
• Emotion classification tasks

Direct Use

Check out this app- https://huggingface.co/spaces/user-anto/text-emotion-classifier

Bias, Risks, and Limitations

• This model gets confused with text input corresponding to the emotion 'angry'.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Training Hyperparameters

• Training regime: [More Information Needed]

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Model Card Contact

Email: rantareep2@gmail.com