metadata
widget:
- text: አዲስ አበባ
example_title: Example 1
- text: በ ኢንግሊዝ ፕሪምየር ሊግ
example_title: Example 2
- text: ፕሬዚዳንት ዶናልድ ትራምፕ
example_title: Example 3
language:
- am
metrics:
- perplexity
library_name: transformers
pipeline_tag: text-generation
gpt2-small-amharic-8k-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 29.5 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 8192.
- This is a base model and hasn't undergone any supervised finetuing yet.
It achieves the following results on the evaluation set:
Loss: 3.59Perplexity: 36.23
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.