Update README.md

README.md

@@ -18,20 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [chargoddard/internlm2-20b-llama](https://huggingface.co/chargoddard/internlm2-20b-llama) on the oncc_medqa_instruct dataset.
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
 ## Training procedure
 
+```
+CUDA_VISIBLE_DEVICES=0 python src/train_bash.py --stage sft --do_train True --model_name_or_path /workspace/model --finetuning_type lora --quantization_bit 4 --flash_attn True --dataset_dir data --cutoff_len 1024 --learning_rate 0.0005 --num_train_epochs 1.0 --max_samples 10000 --lr_scheduler_type cosine --max_grad_norm 1.0 --logging_steps 10 --save_steps 100 --warmup_steps 20 --neftune_noise_alpha 0.5 --lora_rank 8 --lora_dropout 0.2 --output_dir /workspace/model-update --per_device_train_batch_size 4 --gradient_accumulation_steps 4 --lora_target q_proj,v_proj --template llama2 --dataset oncc_medqa_instruct
+```
+Note: fix the bug in the tokenizer_config.json. i.e. "internlm/internlm2-20b--tokenization_internlm2.InternLM2Tokenizer"
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: