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add jobhero cls to training dataset
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metadata
language: en
license: apache-2.0
tags:
  - generated_from_trainer
  - t5-base
model-index:
  - name: cover-letter-t5-base
    results: []
widget:
  - text: >-
      coverletter name: Nouamane Tazi job: Machine Learning Engineer at
      HuggingFace background: Master's student in AI at the University of Paris
      Saclay experiences: I participated in the Digital Tech Year program,
      developing three minimal valuable products for three companies in a 7-week
      constraint. I also spent 1 year as a machine learning engineer for
      Flashbrand where I mainly worked on their chatbot . And I recently
      completed the HuggingFace course, where I built an amazing huggingface
      space. I am a strong team player.

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