---
tags:
- generated_from_trainer
model-index:
- name: mpt-mini-shakespeare
  results: []
---

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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