# DWL CLI Tool
Command-line interface for training DWL (Deep Weight Learning) models.
## Installation
```bash
pip install dwl-cli
```
## Usage
```bash
# Basic DWL training
dwl-train --model bert-base-uncased --dataset yahoo_answers_topics
# Traditional training with custom parameters
dwl-train --model roberta-base --dataset ag_news --method traditional --epochs 50 --lr 0.0001
# DWL training with custom components
dwl-train --model distilbert-base-uncased --dataset emotion --components 100 --epochs 30
# Non-verbose mode
dwl-train --model bert-base-uncased --dataset imdb --quiet
# Use custom backend URL
dwl-train --model bert-base-uncased --dataset ag_news
# List available options
dwl-train --list-models
dwl-train --list-datasets
# Get help
dwl-train --help
```
## Features
- **Easy to use**: Simple command-line interface
- **Flexible**: All training parameters configurable
- **Real-time streaming**: See training progress as it happens
- **Multiple models**: Support for BERT, RoBERTa, DistilBERT, and more
- **Multiple datasets**: 12+ text classification datasets
- **Remote support**: Can connect to any backend URL
## Available Models
- bert-base-uncased
- bert-large-uncased
- roberta-base
- roberta-large
- distilbert-base-uncased
- albert-base-v2
- xlnet-base-cased
## Available Datasets
- ag_news
- dbpedia_14
- yahoo_answers_topics
- yelp_review_full
- yelp_polarity
- amazon_polarity
- trec
- emotion
- go_emotions
- imdb
- banking77
- rotten_tomatoes
## License
MIT License
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