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