opt-350m-email-generation
| Property | Value |
|---|---|
| Base Model | facebook/opt-350m |
| Training Data | AESLC Dataset |
| License | Meta OPT License |
| Hugging Face | Model Repository |
What is opt-350m-email-generation?
opt-350m-email-generation is a specialized language model fine-tuned for generating professional email responses. Based on Facebook's OPT-350M architecture, this model has been specifically trained on the AESLC dataset for six epochs, with careful preprocessing to remove sensitive information like email addresses and phone numbers.
Implementation Details
The model employs the Transformers pipeline for text generation, featuring controlled generation parameters including early stopping and deterministic sampling. Training utilized Adam optimizer with carefully tuned hyperparameters (learning rate: 6e-05) and cosine learning rate scheduling with warmup.
- Batch size: 128 (effective)
- Training epochs: 6
- Gradient accumulation steps: 16
- Maximum generation length: 64 tokens
Core Capabilities
- Email completion from initial prompts
- Professional correspondence generation
- Format-sensitive response generation
- Clean, sanitized output without sensitive data
Frequently Asked Questions
Q: What makes this model unique?
This model specializes in email generation with a specific focus on maintaining professional correspondence formats. It's particularly effective when following the recommended prompt structure and has been trained with cleaned data to ensure privacy-conscious outputs.
Q: What are the recommended use cases?
The model is ideal for automating email response generation, particularly for business correspondence. It works best with structured prompts beginning with formal greetings and can generate up to 64 tokens of contextually appropriate email content.
