rasyosef / gpt2-small-amharic-128-v3

huggingface.co
Total runs: 76
24-hour runs: 1
7-day runs: 11
30-day runs: 52
Model's Last Updated: July 05 2024
text-generation

Introduction of gpt2-small-amharic-128-v3

Model Details of gpt2-small-amharic-128-v3

gpt2-small-amharic-128-v3

This is a smaller version of the gpt2 decoder transformer model pretrained from scratch for 1.5 days on 290 million tokens of Amharic text.

  • It has 33.7 Million parameters
  • The context size of this model is 128 tokens.
  • It has the same tokenizer as gpt2, trained from scratch using the same dataset with a vocabulary size of 16384 .
  • This is a base model and hasn't undergone any supervised finetuing yet.

It achieves the following results on the evaluation set:

  • Loss: 3.99
  • Perplexity: 54.17
Demo

You can use the following demo to generate text using gpt2-small-amharic. Please enter a prompt and click the Generate button to generate completions for the prompt.

https://huggingface.co/spaces/rasyosef/GPT2-Amharic

Runs of rasyosef gpt2-small-amharic-128-v3 on huggingface.co

76
Total runs
1
24-hour runs
12
3-day runs
11
7-day runs
52
30-day runs

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gpt2-small-amharic-128-v3 install

gpt2-small-amharic-128-v3 is an open source model from GitHub that offers a free installation service, and any user can find gpt2-small-amharic-128-v3 on GitHub to install. At the same time, huggingface.co provides the effect of gpt2-small-amharic-128-v3 install, users can directly use gpt2-small-amharic-128-v3 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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