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This model is obsolete.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
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