Instructions to use mou3az/IT-General_Question-Generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mou3az/IT-General_Question-Generation with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-base") model = PeftModel.from_pretrained(base_model, "mou3az/IT-General_Question-Generation") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -66,14 +66,14 @@ metrics:
|
|
| 66 |
|
| 67 |
The following were used during training:
|
| 68 |
|
| 69 |
-
|
| 70 |
|
| 71 |
r=18
|
| 72 |
|
| 73 |
alpha=8
|
| 74 |
|
| 75 |
|
| 76 |
-
|
| 77 |
|
| 78 |
gradient_accumulation_steps=24
|
| 79 |
|
|
|
|
| 66 |
|
| 67 |
The following were used during training:
|
| 68 |
|
| 69 |
+
For Lora:
|
| 70 |
|
| 71 |
r=18
|
| 72 |
|
| 73 |
alpha=8
|
| 74 |
|
| 75 |
|
| 76 |
+
For training arguments:
|
| 77 |
|
| 78 |
gradient_accumulation_steps=24
|
| 79 |
|