Update README.md

README.md

@@ -13,7 +13,7 @@ mathPiX and then trained an LLM to match the metadata of a document with the con
 
 
 1) Download LLamaFactory (I recommend on this point - https://github.com/hiyouga/LLaMA-Factory/tree/36039b0fe01c17ae30dba60e247d7ba8a1beb20a).
-2) Save in data folder your dataset, update dataset_info.
+2) Save in data folder your dataset, update dataset_info (check README.md and data/README.md).
 3) Upload this model.
 4) Run
-python3 -u LLaMA-Factory/src/train.py --stage sft --model_name_or_path DeepKarkhanis/Mistral-Passthrough-8L-10B --adapter_name_or_path way_to_this_midel  --finetuning_type lora --template default --dataset_dir LLaMA-Factory/data --eval_dataset dataset_name --cutoff_len 10000 --max_samples 100000 --per_device_eval_batch_size 1 --predict_with_generate True --max_new_tokens 8000 --top_p 0.7 --temperature 0.95 --output_dir output_dir --do_predict True
+python3 -u LLaMA-Factory/src/train.py --stage sft --model_name_or_path DeepKarkhanis/Mistral-Passthrough-8L-10B --adapter_name_or_path {way_to_this_midel}  --finetuning_type lora --template default --dataset_dir LLaMA-Factory/data --eval_dataset {your_dataset_name} --cutoff_len 16000 --max_samples 100000 --per_device_eval_batch_size 1 --predict_with_generate True --max_new_tokens 16000 --top_p 0.7 --temperature 0.95 --output_dir {your_output_dir} --do_predict True