Instructions to use bigsmoke05/SCOPAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bigsmoke05/SCOPAI with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/CodeQwen1.5-7B") model = PeftModel.from_pretrained(base_model, "bigsmoke05/SCOPAI") - Notebooks
- Google Colab
- Kaggle
File size: 1,840 Bytes
e08b6b5 | 1 2 3 4 5 6 7 8 9 10 11 12 | {"current_steps": 1, "total_steps": 10, "loss": 0.711, "learning_rate": 4e-05, "epoch": 0.2, "percentage": 10.0, "elapsed_time": "0:00:39", "remaining_time": "0:05:54"}
{"current_steps": 2, "total_steps": 10, "loss": 0.7668, "learning_rate": 8e-05, "epoch": 0.4, "percentage": 20.0, "elapsed_time": "0:01:10", "remaining_time": "0:04:42"}
{"current_steps": 3, "total_steps": 10, "loss": 0.9731, "learning_rate": 0.00012, "epoch": 0.6, "percentage": 30.0, "elapsed_time": "0:01:39", "remaining_time": "0:03:52"}
{"current_steps": 4, "total_steps": 10, "loss": 0.8388, "learning_rate": 0.00016, "epoch": 0.8, "percentage": 40.0, "elapsed_time": "0:02:12", "remaining_time": "0:03:19"}
{"current_steps": 5, "total_steps": 10, "loss": 0.8452, "learning_rate": 0.0002, "epoch": 1.0, "percentage": 50.0, "elapsed_time": "0:02:42", "remaining_time": "0:02:42"}
{"current_steps": 6, "total_steps": 10, "loss": 0.6138, "learning_rate": 0.00016, "epoch": 1.2, "percentage": 60.0, "elapsed_time": "0:03:26", "remaining_time": "0:02:17"}
{"current_steps": 7, "total_steps": 10, "loss": 0.5858, "learning_rate": 0.00012, "epoch": 1.4, "percentage": 70.0, "elapsed_time": "0:04:08", "remaining_time": "0:01:46"}
{"current_steps": 8, "total_steps": 10, "loss": 0.7195, "learning_rate": 8e-05, "epoch": 1.6, "percentage": 80.0, "elapsed_time": "0:04:46", "remaining_time": "0:01:11"}
{"current_steps": 9, "total_steps": 10, "loss": 1.0479, "learning_rate": 4e-05, "epoch": 1.8, "percentage": 90.0, "elapsed_time": "0:05:05", "remaining_time": "0:00:33"}
{"current_steps": 10, "total_steps": 10, "loss": 0.9978, "learning_rate": 0.0, "epoch": 2.0, "percentage": 100.0, "elapsed_time": "0:05:34", "remaining_time": "0:00:00"}
{"current_steps": 10, "total_steps": 10, "epoch": 2.0, "percentage": 100.0, "elapsed_time": "0:05:34", "remaining_time": "0:00:00"}
|