---
license: mit
language:
- en
pipeline_tag: text2text-generation
---
# T5-Base Job Description to Resume JSON

This model fine-tunes google/t5-base to convert job descriptions into structured resume JSON data.

## Model description

This model is based on the T5-base architecture fine-tuned on a dataset of 10,000 job description and resume pairs. It takes a job description as input and generates a JSON representation of a resume tailored to that job.

**Base model:** google/t5-base
**Fine-tuning task:** Text-to-JSON conversion
**Training data:** 10,000 job description and resume pairs

## Intended uses & limitations

**Intended uses:**
- Generating structured resume data from job descriptions
- Assisting job seekers in tailoring resumes to specific job postings
- Automating parts of the resume creation process

**Limitations:**
- The model's output quality depends on the input job description's detail and clarity
- Generated resumes may require human review and editing
- The model may not capture nuanced or industry-specific requirements

## Training data

The model was trained on 10,000 pairs of job descriptions and corresponding resume JSON data. The data distribution and any potential biases in the training set are not specified.

## Training procedure

The model was fine-tuned using the standard T5 text-to-text framework. Specific hyperparameters and training details are not provided.

## Evaluation results

Evaluation metrics and results are not specified. Users are encouraged to evaluate the model's performance on their specific use cases.

## Ethical considerations

This model automates part of the resume creation process, which could have implications for job seeking and hiring practices. Users should be aware of potential biases in the training data that may affect the generated resumes.

## Additional information

For more details on the base T5 model, refer to the [T5 paper](https://arxiv.org/abs/1910.10683) and the [google/t5-base model card](https://huggingface.co/google/t5-base).