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mpt-mini-shakespeare – AI Model by jploski | AlphaNeural AI
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mpt-mini-shakespeare
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transformers
pytorch
tensorboard
mpt
text-generation
generated_from_trainer
custom_code
autotrain_compatible
text-generation-inference
endpoints_compatible
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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
