crumb / opentinystories-68m-base

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Total runs: 191
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7-day runs: 27
30-day runs: 172
Model's Last Updated: July 20 2023
text-generation

Introduction of opentinystories-68m-base

Model Details of opentinystories-68m-base

Tinystories-30m-UL2

GPT-4 generated model card

Model Details
  • Model Name : crumb/opentinystories-30m-base
  • Model Type : GPTNeoXForCausalLM
  • Model Training Details : The model is trained using crumb/flan-ul2-tinystories which contains around a quarter of a million examples generated from Flan-UL2 (20b) with the prompt "Write a short story using the vocabulary of a first-grader."
Model Description

This model is trained with the specific purpose of generating short narratives using a vocabulary limited to the level of a first-grader. In terms of complexity and language usage, the model is designed to produce simplistic and easily comprehensible text.

Learning from text generated by Flan-UL2 (20b), the model adopts a simple storyline layout and a minimalistic vocabulary, which it recognizes are easier to learn and replicate.

Training

The model is trained for four epochs on the crumb/flan-ul2-tinystories dataset (inspired by roneneldan/TinyStories ), created with the help of Flan-UL2 (20b), as opposed to GPT-3.5/4 in the original Tinystories. The data is designed to follow the format of a simple, first-grader-level narrative, which aids the model in learning simple vocabulary and sentence structure.

Training arguments:

per_device_train_batch_size=8,
gradient_accumulation_steps=16,
warmup_steps=128,
num_train_epochs=4,
learning_rate=2e-4,
eval_steps=64,
optim="adamw_torch",
Usage

This model serves as a meaningful research tool in exploring the learning tendencies of smaller language models and their ability to grasp simplified language constructs. Its specific training set effectively maps the idea that a constrained vocabulary and simplistic story layouts are inherently easier to learn.

Validation and Performance

The model's performance was evaluated using a held-out validation set, which constitutes 1% of the original dataset. During evaluation, the model achieved a loss of N. During training, the model achieved a loss of N

Runs of crumb opentinystories-68m-base on huggingface.co

191
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2
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11
3-day runs
27
7-day runs
172
30-day runs

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opentinystories-68m-base huggingface.co is an AI model on huggingface.co that provides opentinystories-68m-base's model effect (), which can be used instantly with this crumb opentinystories-68m-base model. huggingface.co supports a free trial of the opentinystories-68m-base model, and also provides paid use of the opentinystories-68m-base. Support call opentinystories-68m-base model through api, including Node.js, Python, http.

opentinystories-68m-base huggingface.co Url

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opentinystories-68m-base install

opentinystories-68m-base is an open source model from GitHub that offers a free installation service, and any user can find opentinystories-68m-base on GitHub to install. At the same time, huggingface.co provides the effect of opentinystories-68m-base install, users can directly use opentinystories-68m-base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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