---
tags:
- generated_from_trainer
model-index:
- name: experience-model-v1
  results: []
---

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# experience-model-v1

This model is intended to detect the presence of a present-moment experience a human or animal is experiencing in a sentence.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

This model was trained on 745 training samples, with ~10% of them containing present moment experiences.

## Training procedure

This model was fine-tuned from 'microsoft/deberta-v3-large' using https://github.com/AlignmentResearch/experience-model.

### Training hyperparameters

It used the following hyperparameters:
learning_rate: 2.0 e-05
batch_size: 16
epochs: 200
weight_decay: 0.01

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2