Instructions to use chchen/Falcon-7B-Instruct-ORPO-SAA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chchen/Falcon-7B-Instruct-ORPO-SAA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b-instruct") model = PeftModel.from_pretrained(base_model, "chchen/Falcon-7B-Instruct-ORPO-SAA") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.9969690846635686, | |
| "eval_logits/chosen": -14.27784252166748, | |
| "eval_logits/rejected": -14.317824363708496, | |
| "eval_logps/chosen": -1.372594952583313, | |
| "eval_logps/rejected": -1.4290432929992676, | |
| "eval_loss": 1.4484930038452148, | |
| "eval_odds_ratio_loss": 0.7589808702468872, | |
| "eval_rewards/accuracies": 0.4809090793132782, | |
| "eval_rewards/chosen": -0.13725949823856354, | |
| "eval_rewards/margins": 0.005644842050969601, | |
| "eval_rewards/rejected": -0.1429043412208557, | |
| "eval_runtime": 410.309, | |
| "eval_samples_per_second": 2.681, | |
| "eval_sft_loss": 1.372594952583313, | |
| "eval_steps_per_second": 1.34 | |
| } |