Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use neuralsentry/vulnfixClassification-DistilBERT-DCMB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuralsentry/vulnfixClassification-DistilBERT-DCMB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="neuralsentry/vulnfixClassification-DistilBERT-DCMB")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("neuralsentry/vulnfixClassification-DistilBERT-DCMB") model = AutoModelForSequenceClassification.from_pretrained("neuralsentry/vulnfixClassification-DistilBERT-DCMB", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.9712816116588084, | |
| "eval_f1": 0.9722260605223159, | |
| "eval_loss": 0.1769445687532425, | |
| "eval_precision": 0.9777654252362423, | |
| "eval_recall": 0.9667491068974993, | |
| "eval_roc_auc": 0.9714697915439877, | |
| "eval_runtime": 4.8942, | |
| "eval_samples": 6999, | |
| "eval_samples_per_second": 1430.059, | |
| "eval_steps_per_second": 5.721 | |
| } |