Instructions to use BraylonDash/phi-2-gpo-test-iter-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BraylonDash/phi-2-gpo-test-iter-0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "BraylonDash/phi-2-gpo-test-iter-0") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from BraylonDash/phi-2-gpo-test-iter-0: direct link, hf CLI and curl.
- Browser
- Download file 195 Bytes
-
https://huggingface.co/BraylonDash/phi-2-gpo-test-iter-0/resolve/dc27a9ad80e6fee6dd6f4f889c64333425802248/train_results.json
- Command line
-
hf download hf://BraylonDash/phi-2-gpo-test-iter-0@dc27a9ad80e6fee6dd6f4f889c64333425802248/train_results.json
-
curl -L -o train_results.json https://huggingface.co/BraylonDash/phi-2-gpo-test-iter-0/resolve/dc27a9ad80e6fee6dd6f4f889c64333425802248/train_results.json
195 Bytes
| { | |
| "epoch": 2.0, | |
| "train_loss": 2.5006682335515507e-05, | |
| "train_runtime": 3.7084, | |
| "train_samples": 30567, | |
| "train_samples_per_second": 1.079, | |
| "train_steps_per_second": 0.539 | |
| } |