Update README.md

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # apricot_clustering_trivia_qa_deberta-v3-base_for_vicuna-7b-v1.5
 
-This model is fine-tuned for black-box LLM calibration as part of the 🍑 Apricot paper ["Calibrating Large Language Models Using Their Generations Only"](https://github.com/parameterlab/apricot) (ACL 2024).
+This model is fine-tuned for black-box LLM calibration as part of the 🍑 Apricot paper ["Calibrating Large Language Models Using Their Generations Only"](https://arxiv.org/abs/2403.05973) (ACL 2024).
 
 ## Model description
 
@@ -38,14 +38,11 @@ More information needed
 
 **TODO**: update the values below
 
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3.0
+This model was trained with the code available on the [parameterlab/apricot GitHub repository](https://github.com/parameterlab/apricot) using the following command:
+
+```shell
+python3 run_regression_experiment.py --model-identifier lmsys/vicuna-7b-v1.5 --dataset-name trivia_qa --device cuda:0 --num-training-steps 600 --num-in-context-samples 10 --data-dir $data_dir --model-save-dir $model_save_dir --result-dir $result_dir --lr 0.00003369 --weight-decay 0.008936 --model-save-dir models --push-to-hub
+```
 
 ### Framework versions