| 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 | |