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mpt-mini-shakespeare

This model was trained from scratch on "tinyshakespeare" text file.

Model description

The configuration and code is adapted from mosaicml/mpt-7b-storywriter, with configuration parameters changed to make it a very tiny model.

Intended uses & limitations

Intended just to aid debugging efforts of a GGML port of mpt-7b-storywriter.

Training and evaluation data

https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt

Training procedure

Just used the single tinyshakespeare text file as both the training and validation set (split up into paragraphs). See:

https://colab.research.google.com/drive/19tKIegIr0IThbItQnY2m7Y7B6AKbz6Cw?usp=sharing

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0005
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 1

Training results

Mediocre, as expected.

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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