--- license: other library_name: peft tags: - llama-factory - lora - generated_from_trainer base_model: upstage/SOLAR-10.7B-v1.0 model-index: - name: solar-10b-ocn-v1 results: [] --- # solar-10b-ocn-v1 This model is a fine-tuned version of upstage/SOLAR-10.7B-v1.0 on the oncc_medqa_instruct dataset. ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0005 - 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_steps: 10 - num_epochs: 1.0 - mixed_precision_training: Native AMP ### Training script CUDA_VISIBLE_DEVICES=0 python src/train_bash.py --stage sft --do_train True --model_name_or_path upstage/SOLAR-10.7B-v1.0 --template solar --finetuning_type lora --quantization_bit 4 --flash_attn True --dataset_dir data --dataset oncc_medqa_instruct --cutoff_len 1024 --learning_rate 0.0005 --num_train_epochs 1.0 --max_samples 5000 --per_device_train_batch_size 4 --gradient_accumulation_steps 4 --lr_scheduler_type cosine --max_grad_norm 1.0 --logging_steps 10 --save_steps 100 --warmup_steps 10 --neftune_noise_alpha 0.5 --lora_rank 8 --lora_dropout 0.2 --lora_target wqkv --output_dir /workspace/solar-10b-ocn-v1 --fp16 True --plot_loss True ### Framework versions - PEFT 0.8.2 - Transformers 4.37.2 - Pytorch 2.1.1+cu121 - Datasets 2.16.1 - Tokenizers 0.15.1 ### Performance Test script: lm_eval --model hf --model_args pretrained=upstage/SOLAR-10.7B-v1.0,peft=chenhugging/solar-10b-ocn-v1,trust_remote_code=True,parallelize=True,load_in_4bit=True --tasks ocn,aocnp,medmcqa,pubmedqa,mmlu_clinical_knowledge,mmlu_college_medicine,mmlu_professional_medicine --device cuda:0 --limit 100 hf (pretrained=upstage/SOLAR-10.7B-v1.0,peft=chenhugging/solar-10b-ocn-v1,trust_remote_code=True,parallelize=True,load_in_4bit=True), gen_kwargs: (None), limit: 100.0, num_fewshot: None, batch_size: 1 | Tasks |Version|Filter|n-shot| Metric |Value| |Stderr| |---------------------|-------|------|-----:|--------|----:|---|-----:| |pubmedqa | 1|none | 0|acc | 0.95|± |0.0219| |medmcqa |Yaml |none | 0|acc | 0.42|± |0.0496| |professional_medicine| 0|none | 0|acc | 0.72|± |0.0451| |college_medicine | 0|none | 0|acc | 0.67|± |0.0473| |clinical_knowledge | 0|none | 0|acc | 0.64|± |0.0482| |ocn |Yaml |none | 0|acc | 0.83|± |0.0378| |aocnp |Yaml |none | 0|acc | 0.72|± |0.0451|