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# medical-7b-llm

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on SrikanthChellappa/Converse dataset.

## Model description

This LLM is a fine-tuned version of Mistral-7B-Instruct-v0.2 and has been trained with over 2 lakhs of conversational prompts to enhance its text generation capabilities

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 600

### Training results



### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: QuantizationMethod.BITS_AND_BYTES
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: float16

### Framework versions


- PEFT 0.6.0
{"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["SrikanthChellappa/Converse"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "medical-7b-llm", "results": []}]}
peft tensorboard safetensors mistral generated_from_trainer dataset:SrikanthChellappa/Converse base_model:mistralai/Mistral-7B-Instruct-v0.2 license:apache-2.0 4-bit region:us