BlackBeenie
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mistral-7b-cot-neftune-v0.1

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 # Model Card for Model ID
+The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters.
+This model uses peft finetuning with NEFTune for robustness.
 ## Model Details
 ### Model Description
+This model is a finetuned model of the [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1).
 ## Training Details
 ### Training Data
+This model is finetuned with [kaist-ai/CoT-Collection](https://huggingface.co/datasets/kaist-ai/CoT-Collection).
 ### Training Procedure
+This model trained with SFT trainer and [NEFTune](https://arxiv.org/abs/2310.05914) method.
+(According to the paper, NEFTune adds noise to the embedding vectors during training)
 #### Training Hyperparameters
+- lora alpha: 16
+- lora r: 64
+- lora dropout: 0.05
+- max sequence length: 4096
+- learning rate: 2e-4
+- max_grad_norm: 0.3
+- weight_decay: 0.001
+- gradient checkpoint: True
+- optim: paged_adamw_32bit
+- use_bf16: True
+- use_4bit: True
+- use_nested_quant: False
+- bnb_4bit_compute_dtype: float16
+- bnb_4bit_quant_type: nf4