Text Classification
Transformers
Safetensors
roberta
cryptography
cryptanalysis
classical-ciphers
cybersecurity-education
text-embeddings-inference
Instructions to use systemslibrarian/cipher-detective-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use systemslibrarian/cipher-detective-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="systemslibrarian/cipher-detective-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("systemslibrarian/cipher-detective-classifier") model = AutoModelForSequenceClassification.from_pretrained("systemslibrarian/cipher-detective-classifier") - Notebooks
- Google Colab
- Kaggle
File size: 319 Bytes
f61584d | 1 2 3 4 5 6 7 8 9 10 11 | {
"eval_loss": 1.9081437587738037,
"eval_accuracy": 0.4828551434569629,
"eval_macro_precision": 0.5688194962198772,
"eval_macro_recall": 0.5197711618330794,
"eval_macro_f1": 0.5181542733976486,
"eval_runtime": 98.5423,
"eval_samples_per_second": 203.019,
"eval_steps_per_second": 3.176,
"epoch": 3.0
} |