Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ecwk/distilbert-git-commits-bugfix-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ecwk/distilbert-git-commits-bugfix-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ecwk/distilbert-git-commits-bugfix-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ecwk/distilbert-git-commits-bugfix-classification") model = AutoModelForSequenceClassification.from_pretrained("ecwk/distilbert-git-commits-bugfix-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.9230769230769231, | |
| "eval_f1": 0.9189189189189189, | |
| "eval_loss": 0.5037449598312378, | |
| "eval_precision": 0.85, | |
| "eval_recall": 1.0, | |
| "eval_roc_auc": 0.9318181818181819, | |
| "eval_runtime": 0.062, | |
| "eval_samples": 39, | |
| "eval_samples_per_second": 629.027, | |
| "eval_steps_per_second": 48.387 | |
| } |