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README.md
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## Model description
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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## Training procedure
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- Pytorch 2.1.2+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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## Model description
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This model summarizes the diary.
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## Training and evaluation data
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This model was trained by the self-instruction process. All data used for fine-tuning this model were generated by chatGPT 3.5.
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## Training procedure
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- Pytorch 2.1.2+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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### How to Get Started with the Model
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Use the code below to get started with the model. You can adjust hyperparameters to fit on your data.
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'''
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def diary_summary(text):
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input_ids = tokenizer.encode(text, return_tensors = 'pt').to(device)
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summary_text_ids = model.generate(input_ids = input_ids, bos_token_id = model.config.bos_token_id, eos_token_id = model.config.eos_token_id,
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length_penalty = 2.0, max_length = 150, num_beams = 2)
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return tokenizer.decode(summary_text_ids[0], skip_special_tokens = True)
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'''
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