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---
tags:
- generated_from_trainer
model-index:
- name: mpt-mini-shakespeare
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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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