Instructions to use andstor/Salesforce-codegen-350M-multi-unit-test-ia3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andstor/Salesforce-codegen-350M-multi-unit-test-ia3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-350M-multi") model = PeftModel.from_pretrained(base_model, "andstor/Salesforce-codegen-350M-multi-unit-test-ia3") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.995008319467554, | |
| "eval_accuracy": 0.6807527762973363, | |
| "eval_loss": 0.7674357891082764, | |
| "eval_runtime": 32.9422, | |
| "eval_samples": 921, | |
| "eval_samples_per_second": 27.958, | |
| "eval_steps_per_second": 13.994, | |
| "perplexity": 2.1542352519915124, | |
| "total_flos": 2.325536422179635e+16, | |
| "train_loss": 0.7775403798068011, | |
| "train_runtime": 1848.9044, | |
| "train_samples": 7211, | |
| "train_samples_per_second": 11.7, | |
| "train_steps_per_second": 0.73 | |
| } |