Text Classification
Transformers
Safetensors
English
deberta-v2
digital-humanities
historical-text
dating
deberta-v3
chronologic
Eval Results (legacy)
text-embeddings-inference
Instructions to use chronologic/chronologic-date-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chronologic/chronologic-date-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chronologic/chronologic-date-deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chronologic/chronologic-date-deberta") model = AutoModelForSequenceClassification.from_pretrained("chronologic/chronologic-date-deberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "save_strategy": "best", | |
| "best_metric": "loss", | |
| "kept": "epoch 2 (loss=2.5448)", | |
| "sigma": 15.0, | |
| "grid": { | |
| "lo": 1680, | |
| "hi": 2040, | |
| "bin_width": 10, | |
| "n_bins": 36 | |
| }, | |
| "per_epoch": [ | |
| { | |
| "epoch": 1, | |
| "train_loss": 2.7892239493680413, | |
| "loss": 2.5518224221645016, | |
| "crps": 16.443814521454787, | |
| "coverage50": 0.6501398818775257, | |
| "coverage90": 0.9513521914827479, | |
| "mae": 22.99976434860578 | |
| }, | |
| { | |
| "epoch": 2, | |
| "train_loss": 2.426014549244649, | |
| "loss": 2.544819206884592, | |
| "crps": 15.860059207809881, | |
| "coverage50": 0.6338203294995337, | |
| "coverage90": 0.9294373640037302, | |
| "mae": 22.20244093954166 | |
| }, | |
| { | |
| "epoch": 3, | |
| "train_loss": 2.22739199123568, | |
| "loss": 2.59886365007646, | |
| "crps": 15.706490724804127, | |
| "coverage50": 0.5887472800746036, | |
| "coverage90": 0.885452284737333, | |
| "mae": 21.451870806763328 | |
| }, | |
| { | |
| "epoch": 4, | |
| "train_loss": 2.0944060118355603, | |
| "loss": 2.696276890759421, | |
| "crps": 15.887976700048558, | |
| "coverage50": 0.5556419023935344, | |
| "coverage90": 0.8534348772147964, | |
| "mae": 21.457977872573327 | |
| }, | |
| { | |
| "epoch": 5, | |
| "train_loss": 2.0083630453739727, | |
| "loss": 2.7727811389630386, | |
| "crps": 15.949291380865379, | |
| "coverage50": 0.5335716506061549, | |
| "coverage90": 0.8270127447932857, | |
| "mae": 21.294442789257758 | |
| } | |
| ] | |
| } |