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
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Model tree for csujeong/Mistral-7B-Finetuning-Insurance
Base model
mistralai/Mistral-7B-Instruct-v0.2