Skip to main content

Multitask Aggression Detection (MAD)

Project description

# MAD: Multi-task Aggression Detection Framework

### A Multi-Task Learning Framework for Aggression Detection using Transformers

Create a Pyhton 3.7 virtual environment ` virtualenv --python=python3.7 . source bin/activate pip install --upgrade pip pip install -r requirements.txt `

## Language Modeler `cd language-modeler`

Change the language modeling parameters in `example_config.yaml` file.

Run the language modeler `python language_modeler.py --config_yaml example_config.yaml`

To be updated!

## Model Training `cd model-training`

Change the transformer modeling parameters in `example_config.yaml` file.

Training and test transformer modeles `python model_training.py --config_yaml example_config.yaml`

### Requirement Notes: TBU

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mad_fw-0.1.12.tar.gz (1.9 MB view details)

Uploaded Source

File details

Details for the file mad_fw-0.1.12.tar.gz.

File metadata

  • Download URL: mad_fw-0.1.12.tar.gz
  • Upload date:
  • Size: 1.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.0

File hashes

Hashes for mad_fw-0.1.12.tar.gz
Algorithm Hash digest
SHA256 068dab76f727315a84d15e0648bee4dfcaf20b37aa6e88e6c9c9025f6513ba1a
MD5 75a9725330d1d443179c8c3f8f97232b
BLAKE2b-256 3cdd94ec3d3da8016b345bf318cbf3085c837633b328fc4b75d415043fd1c7ef

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page