Text Classification
Transformers
Safetensors
English
Russian
open-jev
distillation
cross-encoder
calibrated
Instructions to use sshalimov04/open-jev-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshalimov04/open-jev-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sshalimov04/open-jev-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sshalimov04/open-jev-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train.json from sshalimov04/open-jev-base: direct link, hf CLI and curl.
- Browser
- Download file 3.17 kB
-
https://huggingface.co/sshalimov04/open-jev-base/resolve/main/train.json
- Command line
-
hf download hf://sshalimov04/open-jev-base/train.json
-
curl -L -o train.json https://huggingface.co/sshalimov04/open-jev-base/resolve/main/train.json
3.17 kB
| { | |
| "fold": "none", | |
| "student": "jhu-clsp/mmBERT-small", | |
| "pair_model": true, | |
| "seed": 0, | |
| "only": null, | |
| "limit": null, | |
| "excluded": [], | |
| "train_tasks": [ | |
| "agnews", | |
| "arb-quality", | |
| "arb-success", | |
| "banking77", | |
| "boolq-jev", | |
| "civil-identity-jev", | |
| "civil-insult-jev", | |
| "civil-obscene-jev", | |
| "civil-threat-jev", | |
| "cola-jev", | |
| "emotion-dair-jev", | |
| "fin-sentiment-jev", | |
| "georeview", | |
| "georeview-jev", | |
| "headlines-8k", | |
| "kinopoisk", | |
| "kinopoisk-jev", | |
| "m2w-element", | |
| "m2w-target", | |
| "massive-en-jev", | |
| "massive-ru-jev", | |
| "miracl-rerank-jev", | |
| "mrpc-jev", | |
| "paws-jev", | |
| "rte-jev", | |
| "ru-reviews-jev", | |
| "rubq-rerank-jev", | |
| "sib200-ru-jev", | |
| "swde-field", | |
| "swde-vertical-jev", | |
| "toxic", | |
| "trec-coarse-jev", | |
| "tweet-emotion-jev", | |
| "tweet-hate-jev", | |
| "tweet-irony-jev", | |
| "tweet-offensive-jev", | |
| "tweet-sentiment-jev", | |
| "tweet-stance-jev", | |
| "xnli-en-jev", | |
| "xnli-ru-jev" | |
| ], | |
| "cap": 12000, | |
| "batch": 32, | |
| "lr": 5e-05, | |
| "max_len": 512, | |
| "steps_planned": 43935, | |
| "steps_run": 15000, | |
| "epochs_seen": 3, | |
| "pairs_per_epoch": 234316, | |
| "n_calib_pairs": 3719, | |
| "n_train": 80872, | |
| "n_synth": 0, | |
| "augment_round": 0, | |
| "gold_weight": 0.0, | |
| "best_calib_bce": 0.3569218180262296, | |
| "history": [ | |
| { | |
| "step": 1500, | |
| "epoch": 1, | |
| "train_bce": 0.45931549031535784, | |
| "calib_bce": 0.4415659640353993, | |
| "pairs_per_s": 80.7070987068362 | |
| }, | |
| { | |
| "step": 3000, | |
| "epoch": 1, | |
| "train_bce": 0.3597410107254982, | |
| "calib_bce": 0.3985075464682029, | |
| "pairs_per_s": 79.78586049399101 | |
| }, | |
| { | |
| "step": 4500, | |
| "epoch": 1, | |
| "train_bce": 0.33671471164623895, | |
| "calib_bce": 0.38378575361682127, | |
| "pairs_per_s": 79.73705161432898 | |
| }, | |
| { | |
| "step": 6000, | |
| "epoch": 1, | |
| "train_bce": 0.3230574309527874, | |
| "calib_bce": 0.3732045159028339, | |
| "pairs_per_s": 79.60159527021463 | |
| }, | |
| { | |
| "step": 7500, | |
| "epoch": 2, | |
| "train_bce": 0.2974552004337311, | |
| "calib_bce": 0.3703809247346423, | |
| "pairs_per_s": 79.60656026928321 | |
| }, | |
| { | |
| "step": 9000, | |
| "epoch": 2, | |
| "train_bce": 0.29068456737945475, | |
| "calib_bce": 0.3813886273192539, | |
| "pairs_per_s": 79.42918536560546 | |
| }, | |
| { | |
| "step": 10500, | |
| "epoch": 2, | |
| "train_bce": 0.28204524353891613, | |
| "calib_bce": 0.3569218180262296, | |
| "pairs_per_s": 79.55564022814646 | |
| }, | |
| { | |
| "step": 12000, | |
| "epoch": 2, | |
| "train_bce": 0.2814416238864263, | |
| "calib_bce": 0.3627130574326132, | |
| "pairs_per_s": 79.53210165230088 | |
| }, | |
| { | |
| "step": 13500, | |
| "epoch": 3, | |
| "train_bce": 0.26867731982966264, | |
| "calib_bce": 0.36220443585317086, | |
| "pairs_per_s": 79.65847327962074 | |
| }, | |
| { | |
| "step": 15000, | |
| "epoch": 3, | |
| "train_bce": 0.24902953992038965, | |
| "calib_bce": 0.3621598229865997, | |
| "pairs_per_s": 79.71158044362741 | |
| } | |
| ], | |
| "patience": 3, | |
| "min_delta": 0.001, | |
| "max_epochs": 6, | |
| "converged": true, | |
| "train_minutes": 100.36183035771052, | |
| "peak_gpu_gb": 8.91485595703125 | |
| } |