UPDATE (2023-09-23):

This model is obsolete. Thanks to quantization you can run AI Dungeon 2 Classic (a 1.5B model) under equivalent hardware. See here.

AID-Neo-125M

Model description

This model was inspired by -- and finetuned on the same dataset of -- KoboldAI's GPT-Neo-125M-AID (Mia) model: the AI Dungeon dataset (text_adventures.txt). This was to fix a possible oversight in the original model, which was trained with an unfortunate bug. You could technically consider it a "retraining" of the same model using different software.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0