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--- |
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license: apache-2.0 |
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datasets: |
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- LinhDuong/chatdoctor-200k |
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- cognitivecomputations/samantha-data |
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tags: |
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- medical |
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--- |
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# Johan-7B |
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`Not suitable for interfernce ,experimienting with fine-tuning only` |
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## Model Details |
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QLoRA 4bit Fine-Tuned Version of Mistral-7B using Unsloth |
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Trying To Be a Friendly Neighbourhood Doctor. |
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## Training Details |
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LoRA modules=['v_proj', 'down_proj', 'up_proj', 'o_proj', 'q_proj', 'gate_proj', 'k_proj'] |
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1. Samantha |
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-Advice |
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-Philosiphy |
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-Therapy |
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Special Thanks To Cognitive Computations |
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``` |
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batch_size=2 |
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learning_rate=1.5e-5, |
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warmup_steps=5, |
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max_steps=25, #per_subject |
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optim = "adamw_8bit", |
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weight_decay = 1e-3, |
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lr_scheduler_type = "cosine", |
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neftune_noise_alpha=1 |
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``` |
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2. LinhDuong/chatdoctor-200k |
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``` |
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batch_size=2 |
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learning_rate=1.25e-5, |
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warmup_steps=5, |
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max_steps=35, |
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optim = "adamw_8bit", |
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weight_decay = 1e-3, |
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lr_scheduler_type = "cosine", |
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neftune_noise_alpha=1 |
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``` |
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3. Disease_remedies |
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Created using GPT 3.5 Turbo |
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```json |
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Sample: |
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{ |
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"Gastroesophageal Reflux Disease (GERD)": { |
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"remedies_that_work": "Adopt lifestyle changes like maintaining a healthy weight, eating smaller, more frequent meals, and avoiding lying down after eating. Elevate the head of your bed to reduce nighttime symptoms. Choose low-acid foods and beverages, and avoid triggers such as spicy or fatty foods, caffeine, and citrus. Stay upright for at least 2-3 hours after meals. Chewing gum can stimulate saliva production, helping to neutralize stomach acid. Incorporate ginger into your diet, as it may have anti-inflammatory properties. Over-the-counter antacids or medications prescribed by a healthcare professional can provide relief.", |
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"remedies_that_dont_work": "Avoid overeating and late-night snacks. Smoking and excessive alcohol consumption can exacerbate symptoms. Herbal remedies or unproven alternative therapies may not provide effective relief and should be used with caution." |
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} |
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} |
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``` |
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Training-Params |
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``` |
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epoch=2 |
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batch_size=2 |
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learning_rate=2.5e-5, |
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warmup_steps=5, |
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optim = "adamw_8bit", |
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weight_decay = 1e-3, |
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lr_scheduler_type = "cosine", |
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neftune_noise_alpha=1 |
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``` |
