Mistral-7B-Finetuning-Insurance

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.

Model description

Insurance domain specipic

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

lora_alpha = 32 lora_dropout = 0.05 lora_rank = 32

The following hyperparameters were used during training:

• learning_rate: 0.0002
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• training_steps: 60

Training results

Framework versions

• PEFT 0.10.1.dev0
• Transformers 4.39.0
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2