Instructions to use rbelanec/train_codealpacapy_42_1760729930 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rbelanec/train_codealpacapy_42_1760729930 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "rbelanec/train_codealpacapy_42_1760729930") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 20.0, | |
| "eval_loss": 0.4685571789741516, | |
| "eval_runtime": 9.8103, | |
| "eval_samples_per_second": 86.439, | |
| "eval_steps_per_second": 21.61, | |
| "num_input_tokens_seen": 24887720, | |
| "total_flos": 1.1207121418960896e+18, | |
| "train_loss": 0.5321798926598121, | |
| "train_runtime": 6912.0205, | |
| "train_samples_per_second": 22.075, | |
| "train_steps_per_second": 5.521 | |
| } |