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
File size: 614 Bytes
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"epoch": 1.15,
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"eval_f1_macro": 0.6941481024376613,
"eval_f1_micro": 0.8066037735849056,
"eval_loss": 0.03698405995965004,
"eval_precision_macro": 0.7208214192299698,
"eval_precision_micro": 0.8066037735849056,
"eval_recall_macro": 0.685353731775815,
"eval_recall_micro": 0.8066037735849056,
"eval_runtime": 68.991,
"eval_samples_per_second": 15.364,
"eval_steps_per_second": 3.841,
"train_loss": 0.07879953698865298,
"train_runtime": 5948.326,
"train_samples_per_second": 3.9,
"train_steps_per_second": 0.244
} |