# Fine-tuned Model Submission Template

This is a template reprository for the SUPERB benchmark for the _fine-tuned model_ category. In this category, participants are asked to fine-tuned a pretrained model in each of SUPERB's downstream tasks and then store the model weights and hyperparameters in this repo.

There are four steps involved in making a submission:

1. Fine-tune a pretrained model on a downstream task.
2. Implement the `PreTrainedModel` interface defined in each `model.py` module.
3. Store the weights and hyperparameters in the task directory
4. Push all the files to the Hugging Face Hub.
{}
region:us
TAGS
#region-us 

# Fine-tuned Model Submission Template

This is a template reprository for the SUPERB benchmark for the _fine-tuned model_ category. In this category, participants are asked to fine-tuned a pretrained model in each of SUPERB's downstream tasks and then store the model weights and hyperparameters in this repo.

There are four steps involved in making a submission:

1. Fine-tune a pretrained model on a downstream task.
2. Implement the 'PreTrainedModel' interface defined in each 'URL' module.
3. Store the weights and hyperparameters in the task directory
4. Push all the files to the Hugging Face Hub.
# Fine-tuned Model Submission Template

This is a template reprository for the SUPERB benchmark for the _fine-tuned model_ category. In this category, participants are asked to fine-tuned a pretrained model in each of SUPERB's downstream tasks and then store the model weights and hyperparameters in this repo.

There are four steps involved in making a submission:

1. Fine-tune a pretrained model on a downstream task.
2. Implement the 'PreTrainedModel' interface defined in each 'URL' module.
3. Store the weights and hyperparameters in the task directory
4. Push all the files to the Hugging Face Hub.
TAGS
#region-us 
 # Fine-tuned Model Submission Template

This is a template reprository for the SUPERB benchmark for the _fine-tuned model_ category. In this category, participants are asked to fine-tuned a pretrained model in each of SUPERB's downstream tasks and then store the model weights and hyperparameters in this repo.

There are four steps involved in making a submission:

1. Fine-tune a pretrained model on a downstream task.
2. Implement the 'PreTrainedModel' interface defined in each 'URL' module.
3. Store the weights and hyperparameters in the task directory
4. Push all the files to the Hugging Face Hub.
passage: TAGS
#region-us 
# Fine-tuned Model Submission Template

This is a template reprository for the SUPERB benchmark for the _fine-tuned model_ category. In this category, participants are asked to fine-tuned a pretrained model in each of SUPERB's downstream tasks and then store the model weights and hyperparameters in this repo.

There are four steps involved in making a submission:

1. Fine-tune a pretrained model on a downstream task.
2. Implement the 'PreTrainedModel' interface defined in each 'URL' module.
3. Store the weights and hyperparameters in the task directory
4. Push all the files to the Hugging Face Hub.