cover-letter-t5-base

This model is a fine-tuned version of t5-base on cover letter samples scraped from Indeed and JobHero.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
New

Select AutoNLP in the “Train” menu to fine-tune this model automatically.

Downloads last month
908
Hosted inference API
Text2Text Generation
Examples
Examples
This model can be loaded on the Inference API on-demand.