Amharic GPT2
Collection
GPT2 transformer decoder models pretrained on 290 million tokens of Amharic text
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6 items
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Updated
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: 3.99Perplexity: 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.
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