Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use mcanoglu/microsoft-codebert-base-finetuned-defect-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcanoglu/microsoft-codebert-base-finetuned-defect-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mcanoglu/microsoft-codebert-base-finetuned-defect-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mcanoglu/microsoft-codebert-base-finetuned-defect-detection") model = AutoModelForSequenceClassification.from_pretrained("mcanoglu/microsoft-codebert-base-finetuned-defect-detection") - Notebooks
- Google Colab
- Kaggle
File size: 404 Bytes
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"epoch": 3.0,
"eval_accuracy": 0.7093373493975904,
"eval_loss": 0.5346359610557556,
"eval_runtime": 16.6426,
"eval_samples": 3984,
"eval_samples_per_second": 239.386,
"eval_steps_per_second": 29.923,
"train_loss": 0.5194375239977745,
"train_runtime": 1111.5213,
"train_samples": 31882,
"train_samples_per_second": 86.05,
"train_steps_per_second": 2.691
} |