• Model creator: https://huggingface.co/Minbyul/
• Original model: https://huggingface.co/Minbyul/mistral-7b-wo-healthsearch_qa-sft/

Original model description:

• alignment-handbook
• trl
• sft
• generated_from_trainer
• trl
• sft
• alignment-handbook
• generated_from_trainer datasets:
• HuggingFaceH4/deita-10k-v0-sft model-index:
• name: mistral-7b-wo-healthsearch_qa-sft results: []

mistral-7b-wo-healthsearch_qa-sft

• Loss: 1.3010

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.1.2
• Datasets 2.14.6
• Tokenizers 0.15.2