Text Classification
Transformers
Safetensors
English
deberta-v2
digital-humanities
historical-text
ai-text-detection
deberta-v3
chronologic
Eval Results (legacy)
text-embeddings-inference
Instructions to use chronologic/chronologic-authenticity-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chronologic/chronologic-authenticity-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chronologic/chronologic-authenticity-deberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chronologic/chronologic-authenticity-deberta") model = AutoModelForSequenceClassification.from_pretrained("chronologic/chronologic-authenticity-deberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_metrics.json from chronologic/chronologic-authenticity-deberta: direct link, hf CLI and curl.
- Browser
- Download file 745 Bytes
-
https://huggingface.co/chronologic/chronologic-authenticity-deberta/resolve/main/training_metrics.json
- Command line
-
hf download hf://chronologic/chronologic-authenticity-deberta/training_metrics.json
-
curl -L -o training_metrics.json https://huggingface.co/chronologic/chronologic-authenticity-deberta/resolve/main/training_metrics.json
745 Bytes
| { | |
| "save_strategy": "best", | |
| "best_metric": "accuracy", | |
| "kept": "epoch 2 (accuracy=0.8764)", | |
| "per_epoch": [ | |
| { | |
| "epoch": 1, | |
| "train_loss": 0.3725206876232382, | |
| "loss": 0.318482874957628, | |
| "accuracy": 0.8762358110582205, | |
| "f1": 0.864202490960225, | |
| "auroc": 0.9287755924679226 | |
| }, | |
| { | |
| "epoch": 2, | |
| "train_loss": 0.22056825604131355, | |
| "loss": 0.32971846702140434, | |
| "accuracy": 0.8764188941779568, | |
| "f1": 0.8657784847882283, | |
| "auroc": 0.935848911736632 | |
| }, | |
| { | |
| "epoch": 3, | |
| "train_loss": 0.10965918858768099, | |
| "loss": 0.5901355186347351, | |
| "accuracy": 0.8451116807030392, | |
| "f1": 0.8459016393442623, | |
| "auroc": 0.9323412793492312 | |
| } | |
| ] | |
| } |