Instructions to use retrieval-bar/Mistral-7B-v0.1_district-court-db with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use retrieval-bar/Mistral-7B-v0.1_district-court-db with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "retrieval-bar/Mistral-7B-v0.1_district-court-db") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 1.15, | |
| "eval_accuracy": 0.8207547169811321, | |
| "eval_f1_macro": 0.728031211883242, | |
| "eval_f1_micro": 0.8207547169811321, | |
| "eval_loss": 0.03309142589569092, | |
| "eval_precision_macro": 0.7489147130312945, | |
| "eval_precision_micro": 0.8207547169811321, | |
| "eval_recall_macro": 0.7312128559829479, | |
| "eval_recall_micro": 0.8207547169811321, | |
| "eval_runtime": 66.9147, | |
| "eval_samples_per_second": 15.841, | |
| "eval_steps_per_second": 3.96, | |
| "train_loss": 0.06415341473858932, | |
| "train_runtime": 4786.626, | |
| "train_samples_per_second": 4.847, | |
| "train_steps_per_second": 0.151 | |
| } |