Upload fine-tuned Mistral BP Doctor model
Browse files- README.md +164 -0
- adapter_config.json +42 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +87 -0
- checkpoint-298/README.md +207 -0
- checkpoint-298/adapter_config.json +42 -0
- checkpoint-298/adapter_model.safetensors +3 -0
- checkpoint-298/chat_template.jinja +87 -0
- checkpoint-298/optimizer.pt +3 -0
- checkpoint-298/rng_state.pth +3 -0
- checkpoint-298/scheduler.pt +3 -0
- checkpoint-298/special_tokens_map.json +24 -0
- checkpoint-298/tokenizer.json +0 -0
- checkpoint-298/tokenizer.model +3 -0
- checkpoint-298/tokenizer_config.json +0 -0
- checkpoint-298/trainer_state.json +148 -0
- checkpoint-298/training_args.bin +3 -0
- checkpoint-447/README.md +207 -0
- checkpoint-447/adapter_config.json +42 -0
- checkpoint-447/adapter_model.safetensors +3 -0
- checkpoint-447/chat_template.jinja +87 -0
- checkpoint-447/optimizer.pt +3 -0
- checkpoint-447/rng_state.pth +3 -0
- checkpoint-447/scheduler.pt +3 -0
- checkpoint-447/special_tokens_map.json +24 -0
- checkpoint-447/tokenizer.json +0 -0
- checkpoint-447/tokenizer.model +3 -0
- checkpoint-447/tokenizer_config.json +0 -0
- checkpoint-447/trainer_state.json +212 -0
- checkpoint-447/training_args.bin +3 -0
- metadata.json +10 -0
- runs/Nov07_03-04-15_e648ee70cf1b/events.out.tfevents.1762484659.e648ee70cf1b.2581.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
- training_args.bin +3 -0
README.md
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| 1 |
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---
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| 2 |
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language:
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- en
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license: apache-2.0
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tags:
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- medical
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| 7 |
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- healthcare
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- blood-pressure
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| 9 |
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- mistral
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| 10 |
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- conversational-ai
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| 11 |
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- health-assistant
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| 12 |
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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| 13 |
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datasets:
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- TesterColab/MIMICDB
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| 15 |
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pipeline_tag: text-generation
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---
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| 17 |
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| 18 |
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# Mistral-7B Blood Pressure Medical Assistant
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| 19 |
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| 20 |
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## Model Description
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| 21 |
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This is a fine-tuned version of **Mistral-7B-Instruct-v0.3** specialized for blood pressure assessment and medical consultation. The model acts as an intelligent medical assistant that:
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| 23 |
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| 24 |
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- ✅ Analyzes blood pressure readings
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| 25 |
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- ✅ Asks relevant follow-up questions based on BP levels
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- ✅ Provides personalized medical guidance
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| 27 |
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- ✅ Handles various scenarios (with/without patient context)
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- ✅ **Never hallucinates information** - only responds to what the patient shares
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| 29 |
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- ✅ Recognizes emergency situations (hypertensive crisis)
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| 30 |
+
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## Model Type
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| 32 |
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| 33 |
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**LoRA Adapter**
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| 34 |
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## Training Details
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| 36 |
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| 37 |
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- **Base Model**: mistralai/Mistral-7B-Instruct-v0.3
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- **Dataset**: TesterColab/MIMICDB (880 clinical examples)
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| 39 |
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- **Training Method**: LoRA (Low-Rank Adaptation)
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| 40 |
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- **Training Scenarios**:
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| 41 |
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1. BP reading only (model asks questions)
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| 42 |
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2. BP with patient context (model uses provided information)
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| 43 |
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3. Speech-to-text variations
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| 44 |
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## Usage
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| 46 |
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| 47 |
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### Installation
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| 48 |
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```bash
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pip install transformers torch peft accelerate
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```
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### Basic Usage
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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from peft import PeftModel
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| 58 |
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# Load model
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| 60 |
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model_id = "TesterColab/mistral-finetuned-v3"
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base_model_id = "mistralai/Mistral-7B-Instruct-v0.3"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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base_model = AutoModelForCausalLM.from_pretrained(base_model_id, device_map='auto', torch_dtype=torch.float16)
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| 65 |
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model = PeftModel.from_pretrained(base_model, model_id)
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# Use the model
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prompt = """<s>[INST] You are a medical doctor. A patient shares their blood pressure reading. Analyze it and respond appropriately - if abnormal, ask relevant questions; if normal, provide encouragement. Never assume information the patient hasn't told you.
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Patient: My blood pressure is 145 over 95 [/INST]
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"""
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=300, temperature=0.7, top_p=0.9)
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| 76 |
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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| 77 |
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print(response.split('[/INST]')[-1].strip())
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| 78 |
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```
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| 79 |
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| 80 |
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### Example Conversations
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| 81 |
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| 82 |
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**Example 1: Normal BP**
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| 83 |
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```
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| 84 |
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User: My blood pressure is 115 over 75
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| 85 |
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Assistant: Your blood pressure reading of 115/75 mmHg is within the normal range - that's great! To maintain this healthy blood pressure, continue with regular exercise, a balanced diet low in sodium, maintain a healthy weight, limit alcohol, and manage stress. Keep monitoring it regularly.
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```
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**Example 2: High BP - Asks Questions**
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```
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User: 145 over 95
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Assistant: Your blood pressure reading of 145/95 indicates Stage 2 hypertension. To help you properly, I need to understand your health better. Can you tell me: Do you smoke? How often do you exercise? Do you have any family history of heart disease or stroke? Are you currently taking any medications?
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```
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**Example 3: With Context**
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| 95 |
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```
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User: My BP is 130 over 85 and I smoke
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Assistant: Your blood pressure reading of 130/85 shows Stage 1 hypertension, and smoking is a significant risk factor that can worsen this. I need to understand more: How much do you smoke per day? How long have you been smoking? Have you tried to quit before? Also, tell me about your exercise routine and diet.
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```
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## Intended Use
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- 🏥 Health monitoring applications
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- 📱 Mobile health assistants
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- 💬 Conversational health bots
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- 🩺 Telemedicine support tools
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## Limitations
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⚠️ **Important Medical Disclaimer**:
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- This model is for **informational purposes only**
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| 111 |
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- **NOT a replacement for professional medical advice**
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- Always consult healthcare professionals for medical decisions
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| 113 |
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- In emergencies (chest pain, severe symptoms), seek immediate medical care
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- Model may occasionally generate incorrect medical information
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| 115 |
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| 116 |
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## Ethical Considerations
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| 117 |
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| 118 |
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- Trained to recognize emergency situations
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| 119 |
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- Asks appropriate follow-up questions
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| 120 |
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- Does not assume or hallucinate patient information
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| 121 |
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- Provides general guidance, not diagnoses
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| 122 |
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- Encourages seeking professional medical care when appropriate
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| 123 |
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| 124 |
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## Training Data
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| 125 |
+
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| 126 |
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Trained on the MIMICDB dataset containing clinical blood pressure readings with patient context including:
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| 127 |
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- Age groups
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| 128 |
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- Smoking status
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| 129 |
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- Pregnancy status
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| 130 |
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- Activity levels
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| 131 |
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- Diet information
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| 132 |
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- ABP (Arterial Blood Pressure) measurements
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| 133 |
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| 134 |
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## Performance
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| 135 |
+
|
| 136 |
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The model has been trained to handle multiple scenarios:
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| 137 |
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- ✅ BP readings without context → Asks appropriate questions
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| 138 |
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- ✅ BP readings with patient info → Uses provided context
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| 139 |
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- ✅ Emergency situations → Recognizes and advises immediate care
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| 140 |
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- ✅ Normal readings → Provides encouragement and maintenance tips
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| 141 |
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| 142 |
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## Citation
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| 143 |
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| 144 |
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```bibtex
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| 145 |
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@model{mistral-bp-doctor,
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| 146 |
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author = {TesterColab},
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| 147 |
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title = {Mistral-7B Blood Pressure Medical Assistant},
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| 148 |
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year = {2024},
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| 149 |
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publisher = {HuggingFace},
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| 150 |
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url = {https://huggingface.co/TesterColab/mistral-finetuned-v3}
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| 151 |
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}
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| 152 |
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```
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| 153 |
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| 154 |
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## License
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| 155 |
+
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| 156 |
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Apache 2.0 (inherits from Mistral-7B-Instruct-v0.3)
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| 157 |
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| 158 |
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## Contact
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| 159 |
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| 160 |
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For questions or issues, please open an issue on the model repository.
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| 161 |
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| 162 |
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---
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| 163 |
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| 164 |
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**Built with ❤️ for better health monitoring**
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adapter_config.json
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
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| 5 |
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"bias": "none",
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| 6 |
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"corda_config": null,
|
| 7 |
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"eva_config": null,
|
| 8 |
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"exclude_modules": null,
|
| 9 |
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"fan_in_fan_out": false,
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| 10 |
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"inference_mode": true,
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| 11 |
+
"init_lora_weights": true,
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| 12 |
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"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
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| 14 |
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"layers_to_transform": null,
|
| 15 |
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"loftq_config": {},
|
| 16 |
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"lora_alpha": 16,
|
| 17 |
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"lora_bias": false,
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| 18 |
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"lora_dropout": 0.05,
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| 19 |
+
"megatron_config": null,
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| 20 |
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"megatron_core": "megatron.core",
|
| 21 |
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"modules_to_save": null,
|
| 22 |
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"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
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| 24 |
+
"r": 64,
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| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
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"target_modules": [
|
| 28 |
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"q_proj",
|
| 29 |
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"down_proj",
|
| 30 |
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"gate_proj",
|
| 31 |
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"o_proj",
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| 32 |
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"up_proj",
|
| 33 |
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"v_proj",
|
| 34 |
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"k_proj"
|
| 35 |
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],
|
| 36 |
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"target_parameters": null,
|
| 37 |
+
"task_type": "CAUSAL_LM",
|
| 38 |
+
"trainable_token_indices": null,
|
| 39 |
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"use_dora": false,
|
| 40 |
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"use_qalora": false,
|
| 41 |
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"use_rslora": false
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| 42 |
+
}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:647b406a89aa7eef1ef90b8f2a7072954db3eabd841f067d3fbed30bebb6a894
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| 3 |
+
size 671149168
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chat_template.jinja
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{%- if messages[0]["role"] == "system" %}
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| 2 |
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{%- set system_message = messages[0]["content"] %}
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| 3 |
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{%- set loop_messages = messages[1:] %}
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| 4 |
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{%- else %}
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| 5 |
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{%- set loop_messages = messages %}
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| 6 |
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{%- endif %}
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| 7 |
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{%- if not tools is defined %}
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| 8 |
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{%- set tools = none %}
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| 9 |
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{%- endif %}
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| 10 |
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{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
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| 11 |
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| 12 |
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{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
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| 13 |
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{%- set ns = namespace() %}
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| 14 |
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{%- set ns.index = 0 %}
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| 15 |
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{%- for message in loop_messages %}
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| 16 |
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{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
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| 17 |
+
{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
|
| 18 |
+
{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- set ns.index = ns.index + 1 %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
{%- endfor %}
|
| 23 |
+
|
| 24 |
+
{{- bos_token }}
|
| 25 |
+
{%- for message in loop_messages %}
|
| 26 |
+
{%- if message["role"] == "user" %}
|
| 27 |
+
{%- if tools is not none and (message == user_messages[-1]) %}
|
| 28 |
+
{{- "[AVAILABLE_TOOLS] [" }}
|
| 29 |
+
{%- for tool in tools %}
|
| 30 |
+
{%- set tool = tool.function %}
|
| 31 |
+
{{- '{"type": "function", "function": {' }}
|
| 32 |
+
{%- for key, val in tool.items() if key != "return" %}
|
| 33 |
+
{%- if val is string %}
|
| 34 |
+
{{- '"' + key + '": "' + val + '"' }}
|
| 35 |
+
{%- else %}
|
| 36 |
+
{{- '"' + key + '": ' + val|tojson }}
|
| 37 |
+
{%- endif %}
|
| 38 |
+
{%- if not loop.last %}
|
| 39 |
+
{{- ", " }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endfor %}
|
| 42 |
+
{{- "}}" }}
|
| 43 |
+
{%- if not loop.last %}
|
| 44 |
+
{{- ", " }}
|
| 45 |
+
{%- else %}
|
| 46 |
+
{{- "]" }}
|
| 47 |
+
{%- endif %}
|
| 48 |
+
{%- endfor %}
|
| 49 |
+
{{- "[/AVAILABLE_TOOLS]" }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if loop.last and system_message is defined %}
|
| 52 |
+
{{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
|
| 53 |
+
{%- else %}
|
| 54 |
+
{{- "[INST] " + message["content"] + "[/INST]" }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- elif message.tool_calls is defined and message.tool_calls is not none %}
|
| 57 |
+
{{- "[TOOL_CALLS] [" }}
|
| 58 |
+
{%- for tool_call in message.tool_calls %}
|
| 59 |
+
{%- set out = tool_call.function|tojson %}
|
| 60 |
+
{{- out[:-1] }}
|
| 61 |
+
{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
|
| 62 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 63 |
+
{%- endif %}
|
| 64 |
+
{{- ', "id": "' + tool_call.id + '"}' }}
|
| 65 |
+
{%- if not loop.last %}
|
| 66 |
+
{{- ", " }}
|
| 67 |
+
{%- else %}
|
| 68 |
+
{{- "]" + eos_token }}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- endfor %}
|
| 71 |
+
{%- elif message["role"] == "assistant" %}
|
| 72 |
+
{{- " " + message["content"]|trim + eos_token}}
|
| 73 |
+
{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
|
| 74 |
+
{%- if message.content is defined and message.content.content is defined %}
|
| 75 |
+
{%- set content = message.content.content %}
|
| 76 |
+
{%- else %}
|
| 77 |
+
{%- set content = message.content %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
|
| 80 |
+
{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
|
| 81 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- endfor %}
|
checkpoint-298/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
|
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|
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.1
|
checkpoint-298/adapter_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 64,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"q_proj",
|
| 29 |
+
"down_proj",
|
| 30 |
+
"gate_proj",
|
| 31 |
+
"o_proj",
|
| 32 |
+
"up_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj"
|
| 35 |
+
],
|
| 36 |
+
"target_parameters": null,
|
| 37 |
+
"task_type": "CAUSAL_LM",
|
| 38 |
+
"trainable_token_indices": null,
|
| 39 |
+
"use_dora": false,
|
| 40 |
+
"use_qalora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
checkpoint-298/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cbbad7bd61b442e37b325c37839b74ef3a744cf3682d4e942e38f59cf2ab04cc
|
| 3 |
+
size 671149168
|
checkpoint-298/chat_template.jinja
ADDED
|
@@ -0,0 +1,87 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if messages[0]["role"] == "system" %}
|
| 2 |
+
{%- set system_message = messages[0]["content"] %}
|
| 3 |
+
{%- set loop_messages = messages[1:] %}
|
| 4 |
+
{%- else %}
|
| 5 |
+
{%- set loop_messages = messages %}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
{%- if not tools is defined %}
|
| 8 |
+
{%- set tools = none %}
|
| 9 |
+
{%- endif %}
|
| 10 |
+
{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
|
| 11 |
+
|
| 12 |
+
{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
|
| 13 |
+
{%- set ns = namespace() %}
|
| 14 |
+
{%- set ns.index = 0 %}
|
| 15 |
+
{%- for message in loop_messages %}
|
| 16 |
+
{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
|
| 17 |
+
{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
|
| 18 |
+
{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- set ns.index = ns.index + 1 %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
{%- endfor %}
|
| 23 |
+
|
| 24 |
+
{{- bos_token }}
|
| 25 |
+
{%- for message in loop_messages %}
|
| 26 |
+
{%- if message["role"] == "user" %}
|
| 27 |
+
{%- if tools is not none and (message == user_messages[-1]) %}
|
| 28 |
+
{{- "[AVAILABLE_TOOLS] [" }}
|
| 29 |
+
{%- for tool in tools %}
|
| 30 |
+
{%- set tool = tool.function %}
|
| 31 |
+
{{- '{"type": "function", "function": {' }}
|
| 32 |
+
{%- for key, val in tool.items() if key != "return" %}
|
| 33 |
+
{%- if val is string %}
|
| 34 |
+
{{- '"' + key + '": "' + val + '"' }}
|
| 35 |
+
{%- else %}
|
| 36 |
+
{{- '"' + key + '": ' + val|tojson }}
|
| 37 |
+
{%- endif %}
|
| 38 |
+
{%- if not loop.last %}
|
| 39 |
+
{{- ", " }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endfor %}
|
| 42 |
+
{{- "}}" }}
|
| 43 |
+
{%- if not loop.last %}
|
| 44 |
+
{{- ", " }}
|
| 45 |
+
{%- else %}
|
| 46 |
+
{{- "]" }}
|
| 47 |
+
{%- endif %}
|
| 48 |
+
{%- endfor %}
|
| 49 |
+
{{- "[/AVAILABLE_TOOLS]" }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if loop.last and system_message is defined %}
|
| 52 |
+
{{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
|
| 53 |
+
{%- else %}
|
| 54 |
+
{{- "[INST] " + message["content"] + "[/INST]" }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- elif message.tool_calls is defined and message.tool_calls is not none %}
|
| 57 |
+
{{- "[TOOL_CALLS] [" }}
|
| 58 |
+
{%- for tool_call in message.tool_calls %}
|
| 59 |
+
{%- set out = tool_call.function|tojson %}
|
| 60 |
+
{{- out[:-1] }}
|
| 61 |
+
{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
|
| 62 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 63 |
+
{%- endif %}
|
| 64 |
+
{{- ', "id": "' + tool_call.id + '"}' }}
|
| 65 |
+
{%- if not loop.last %}
|
| 66 |
+
{{- ", " }}
|
| 67 |
+
{%- else %}
|
| 68 |
+
{{- "]" + eos_token }}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- endfor %}
|
| 71 |
+
{%- elif message["role"] == "assistant" %}
|
| 72 |
+
{{- " " + message["content"]|trim + eos_token}}
|
| 73 |
+
{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
|
| 74 |
+
{%- if message.content is defined and message.content.content is defined %}
|
| 75 |
+
{%- set content = message.content.content %}
|
| 76 |
+
{%- else %}
|
| 77 |
+
{%- set content = message.content %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
|
| 80 |
+
{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
|
| 81 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- endfor %}
|
checkpoint-298/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8010c218b46eae68d0ae211f866b65cdfc91b92fbc2390ec3dd5b59ef20f6d56
|
| 3 |
+
size 1342453899
|
checkpoint-298/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cffca8166398eac90c27cd2a42adf9d0eced63586e3fa75dc51c2546f8a487a5
|
| 3 |
+
size 14645
|
checkpoint-298/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b928064440f9470d27d84fe30538095e46afc896a930478830ece74934641668
|
| 3 |
+
size 1465
|
checkpoint-298/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
checkpoint-298/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-298/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
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checkpoint-298/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-298/trainer_state.json
ADDED
|
@@ -0,0 +1,148 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
|
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|
|
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|
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|
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|
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|
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|
| 1 |
+
{
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| 2 |
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"best_global_step": 298,
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| 3 |
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"best_metric": 0.24624043703079224,
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| 4 |
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"best_model_checkpoint": "./mistral-bp-doctor/checkpoint-298",
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| 5 |
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"epoch": 2.0,
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| 6 |
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"eval_steps": 500,
|
| 7 |
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"global_step": 298,
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| 8 |
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"is_hyper_param_search": false,
|
| 9 |
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"is_local_process_zero": true,
|
| 10 |
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"is_world_process_zero": true,
|
| 11 |
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"log_history": [
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| 12 |
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{
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| 13 |
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"epoch": 0.13468013468013468,
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"grad_norm": 0.5559964776039124,
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"learning_rate": 0.00019993420599300602,
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"loss": 1.9115,
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"step": 20
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| 18 |
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},
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| 19 |
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{
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"epoch": 0.26936026936026936,
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"grad_norm": 0.375236839056015,
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"loss": 0.389,
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"step": 40
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| 25 |
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},
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| 26 |
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{
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| 27 |
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"epoch": 0.40404040404040403,
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| 28 |
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| 32 |
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},
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| 33 |
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{
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| 34 |
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| 39 |
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},
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| 40 |
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{
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| 41 |
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| 42 |
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| 45 |
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| 46 |
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},
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{
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| 48 |
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"step": 120
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},
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{
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| 60 |
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},
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| 61 |
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{
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| 62 |
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"epoch": 1.0,
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| 63 |
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"eval_loss": 0.2505706548690796,
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"eval_runtime": 74.0922,
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"step": 149
|
| 68 |
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},
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| 69 |
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{
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| 70 |
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| 71 |
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| 75 |
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},
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| 76 |
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{
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| 77 |
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| 82 |
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},
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| 83 |
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{
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| 84 |
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|
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"trial_params": null
|
| 148 |
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}
|
checkpoint-298/training_args.bin
ADDED
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca3368fe8425b6a161e11d6c1fbbf66be8646beca69bf81193ad2a1292f8d3c8
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| 3 |
+
size 5841
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checkpoint-447/README.md
ADDED
|
@@ -0,0 +1,207 @@
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|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.1
|
checkpoint-447/adapter_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
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"bias": "none",
|
| 6 |
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"corda_config": null,
|
| 7 |
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"eva_config": null,
|
| 8 |
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"exclude_modules": null,
|
| 9 |
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"fan_in_fan_out": false,
|
| 10 |
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"inference_mode": true,
|
| 11 |
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"init_lora_weights": true,
|
| 12 |
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"layer_replication": null,
|
| 13 |
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"layers_pattern": null,
|
| 14 |
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"layers_to_transform": null,
|
| 15 |
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"loftq_config": {},
|
| 16 |
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"lora_alpha": 16,
|
| 17 |
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"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
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"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
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"r": 64,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"q_proj",
|
| 29 |
+
"down_proj",
|
| 30 |
+
"gate_proj",
|
| 31 |
+
"o_proj",
|
| 32 |
+
"up_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
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"k_proj"
|
| 35 |
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],
|
| 36 |
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"target_parameters": null,
|
| 37 |
+
"task_type": "CAUSAL_LM",
|
| 38 |
+
"trainable_token_indices": null,
|
| 39 |
+
"use_dora": false,
|
| 40 |
+
"use_qalora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
checkpoint-447/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:647b406a89aa7eef1ef90b8f2a7072954db3eabd841f067d3fbed30bebb6a894
|
| 3 |
+
size 671149168
|
checkpoint-447/chat_template.jinja
ADDED
|
@@ -0,0 +1,87 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
| 1 |
+
{%- if messages[0]["role"] == "system" %}
|
| 2 |
+
{%- set system_message = messages[0]["content"] %}
|
| 3 |
+
{%- set loop_messages = messages[1:] %}
|
| 4 |
+
{%- else %}
|
| 5 |
+
{%- set loop_messages = messages %}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
{%- if not tools is defined %}
|
| 8 |
+
{%- set tools = none %}
|
| 9 |
+
{%- endif %}
|
| 10 |
+
{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
|
| 11 |
+
|
| 12 |
+
{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
|
| 13 |
+
{%- set ns = namespace() %}
|
| 14 |
+
{%- set ns.index = 0 %}
|
| 15 |
+
{%- for message in loop_messages %}
|
| 16 |
+
{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
|
| 17 |
+
{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
|
| 18 |
+
{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- set ns.index = ns.index + 1 %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
{%- endfor %}
|
| 23 |
+
|
| 24 |
+
{{- bos_token }}
|
| 25 |
+
{%- for message in loop_messages %}
|
| 26 |
+
{%- if message["role"] == "user" %}
|
| 27 |
+
{%- if tools is not none and (message == user_messages[-1]) %}
|
| 28 |
+
{{- "[AVAILABLE_TOOLS] [" }}
|
| 29 |
+
{%- for tool in tools %}
|
| 30 |
+
{%- set tool = tool.function %}
|
| 31 |
+
{{- '{"type": "function", "function": {' }}
|
| 32 |
+
{%- for key, val in tool.items() if key != "return" %}
|
| 33 |
+
{%- if val is string %}
|
| 34 |
+
{{- '"' + key + '": "' + val + '"' }}
|
| 35 |
+
{%- else %}
|
| 36 |
+
{{- '"' + key + '": ' + val|tojson }}
|
| 37 |
+
{%- endif %}
|
| 38 |
+
{%- if not loop.last %}
|
| 39 |
+
{{- ", " }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endfor %}
|
| 42 |
+
{{- "}}" }}
|
| 43 |
+
{%- if not loop.last %}
|
| 44 |
+
{{- ", " }}
|
| 45 |
+
{%- else %}
|
| 46 |
+
{{- "]" }}
|
| 47 |
+
{%- endif %}
|
| 48 |
+
{%- endfor %}
|
| 49 |
+
{{- "[/AVAILABLE_TOOLS]" }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if loop.last and system_message is defined %}
|
| 52 |
+
{{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
|
| 53 |
+
{%- else %}
|
| 54 |
+
{{- "[INST] " + message["content"] + "[/INST]" }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- elif message.tool_calls is defined and message.tool_calls is not none %}
|
| 57 |
+
{{- "[TOOL_CALLS] [" }}
|
| 58 |
+
{%- for tool_call in message.tool_calls %}
|
| 59 |
+
{%- set out = tool_call.function|tojson %}
|
| 60 |
+
{{- out[:-1] }}
|
| 61 |
+
{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
|
| 62 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 63 |
+
{%- endif %}
|
| 64 |
+
{{- ', "id": "' + tool_call.id + '"}' }}
|
| 65 |
+
{%- if not loop.last %}
|
| 66 |
+
{{- ", " }}
|
| 67 |
+
{%- else %}
|
| 68 |
+
{{- "]" + eos_token }}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- endfor %}
|
| 71 |
+
{%- elif message["role"] == "assistant" %}
|
| 72 |
+
{{- " " + message["content"]|trim + eos_token}}
|
| 73 |
+
{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
|
| 74 |
+
{%- if message.content is defined and message.content.content is defined %}
|
| 75 |
+
{%- set content = message.content.content %}
|
| 76 |
+
{%- else %}
|
| 77 |
+
{%- set content = message.content %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
|
| 80 |
+
{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
|
| 81 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- endfor %}
|
checkpoint-447/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e9a81f860788f58fd5724dda5a3e873d164e954d84d23e82c6fe76ed2a476d6
|
| 3 |
+
size 1342453899
|
checkpoint-447/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df6019d1a263972b8c72790fdf52a4d03fece316e28934235558eba2015691e2
|
| 3 |
+
size 14645
|
checkpoint-447/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:933b2ebad8ab9bcd2ab2c854312edd4dba7ae2b2e84a3ca300d969531f4485df
|
| 3 |
+
size 1465
|
checkpoint-447/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
checkpoint-447/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-447/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
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checkpoint-447/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-447/trainer_state.json
ADDED
|
@@ -0,0 +1,212 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 447,
|
| 3 |
+
"best_metric": 0.24426761269569397,
|
| 4 |
+
"best_model_checkpoint": "./mistral-bp-doctor/checkpoint-447",
|
| 5 |
+
"epoch": 3.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 447,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.13468013468013468,
|
| 14 |
+
"grad_norm": 0.5559964776039124,
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| 15 |
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"learning_rate": 0.00019993420599300602,
|
| 16 |
+
"loss": 1.9115,
|
| 17 |
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"step": 20
|
| 18 |
+
},
|
| 19 |
+
{
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| 20 |
+
"epoch": 0.26936026936026936,
|
| 21 |
+
"grad_norm": 0.375236839056015,
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| 22 |
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"learning_rate": 0.000198359474690631,
|
| 23 |
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"loss": 0.389,
|
| 24 |
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"step": 40
|
| 25 |
+
},
|
| 26 |
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{
|
| 27 |
+
"epoch": 0.40404040404040403,
|
| 28 |
+
"grad_norm": 0.19160901010036469,
|
| 29 |
+
"learning_rate": 0.00019471727939498744,
|
| 30 |
+
"loss": 0.2647,
|
| 31 |
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"step": 60
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.5387205387205387,
|
| 35 |
+
"grad_norm": 0.1633908897638321,
|
| 36 |
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"learning_rate": 0.00018908417711955972,
|
| 37 |
+
"loss": 0.2575,
|
| 38 |
+
"step": 80
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.6734006734006734,
|
| 42 |
+
"grad_norm": 0.06298425048589706,
|
| 43 |
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"learning_rate": 0.00018157857268667396,
|
| 44 |
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"loss": 0.255,
|
| 45 |
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"step": 100
|
| 46 |
+
},
|
| 47 |
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{
|
| 48 |
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"epoch": 0.8080808080808081,
|
| 49 |
+
"grad_norm": 0.07009627670049667,
|
| 50 |
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"learning_rate": 0.00017235822992092893,
|
| 51 |
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"loss": 0.2513,
|
| 52 |
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"step": 120
|
| 53 |
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},
|
| 54 |
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{
|
| 55 |
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"epoch": 0.9427609427609428,
|
| 56 |
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"grad_norm": 0.05074545741081238,
|
| 57 |
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"learning_rate": 0.0001616169555372722,
|
| 58 |
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"loss": 0.2516,
|
| 59 |
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"step": 140
|
| 60 |
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},
|
| 61 |
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{
|
| 62 |
+
"epoch": 1.0,
|
| 63 |
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"eval_loss": 0.2505706548690796,
|
| 64 |
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"eval_runtime": 74.0922,
|
| 65 |
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"eval_samples_per_second": 3.563,
|
| 66 |
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"eval_steps_per_second": 0.891,
|
| 67 |
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"step": 149
|
| 68 |
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},
|
| 69 |
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{
|
| 70 |
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"epoch": 1.074074074074074,
|
| 71 |
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"grad_norm": 0.0452318899333477,
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