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README.md
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---
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language: ti
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tags:
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- tigrinya
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- gpt2
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- text-generation
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---
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# GPT-2 for Tigrinya Language
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This repository contains a GPT-2 model trained from scratch on Tigrinya text data. The model was trained using the Hugging Face Transformers library.
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## Model Details
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- Model Type: GPT-2
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- Language: Tigrinya
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- Vocabulary Size: 16000
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- Maximum Length: 128
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- Model Size: Small
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- Number of Parameters: 33,523,200
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## Training Details
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- Number of Epochs: 12
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- Batch Size: 1 (with gradient accumulation steps of 4)
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- Learning Rate: 5e-4
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## Dataset Statistics
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- Total number of words: 16061839
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- Total number of unique words: 458901
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## Usage
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```python
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from transformers import pipeline
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# Load the model
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generator = pipeline('text-generation', model='luel/gpt2-tigrinya-small')
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# Generate text
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text = generator("ትግራይ", max_length=60)
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print(text)
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