Text Classification
Transformers
Safetensors
Ukrainian
xlm-roberta
ukrainian
stress
homograph
word-sense-disambiguation
cross-encoder
tts
text-embeddings-inference
Instructions to use aloudreader/uk-stress-crossencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aloudreader/uk-stress-crossencoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aloudreader/uk-stress-crossencoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aloudreader/uk-stress-crossencoder") model = AutoModelForSequenceClassification.from_pretrained("aloudreader/uk-stress-crossencoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_run.json from aloudreader/uk-stress-crossencoder: direct link, hf CLI and curl.
- Browser
- Download file 1.18 kB
-
https://huggingface.co/aloudreader/uk-stress-crossencoder/resolve/main/training_run.json
- Command line
-
hf download hf://aloudreader/uk-stress-crossencoder/training_run.json
-
curl -L -o training_run.json https://huggingface.co/aloudreader/uk-stress-crossencoder/resolve/main/training_run.json
1.18 kB
| { | |
| "base_model": "models/v3-xenc/checkpoint", | |
| "best_dev_group_macro": 0.84429908494499, | |
| "best_epoch": 1, | |
| "config": { | |
| "accumulate": 1, | |
| "amp_dtype": null, | |
| "base_model": "models/v3-xenc/checkpoint", | |
| "batch_rows": 16, | |
| "grad_clip": 1.0, | |
| "learning_rate": 1e-05, | |
| "max_epochs": 2, | |
| "max_length": 192, | |
| "patience": 3, | |
| "seed": 20260824, | |
| "warmup_ratio": 0.1, | |
| "weight_decay": 0.01 | |
| }, | |
| "corpus_version": "inflected-pilot", | |
| "device": "cuda", | |
| "hardware": { | |
| "machine": "x86_64", | |
| "platform": "Linux-6.6.87.2-microsoft-standard-WSL2-x86_64-with-glibc2.35" | |
| }, | |
| "history": [ | |
| { | |
| "dev_group_macro": 0.8258742362925009, | |
| "dev_micro": 0.885666485568175, | |
| "epoch": 0, | |
| "seconds": 6114.985460281372, | |
| "train_loss": 0.3735321806594369 | |
| }, | |
| { | |
| "dev_group_macro": 0.84429908494499, | |
| "dev_micro": 0.893850412645849, | |
| "epoch": 1, | |
| "seconds": 12274.641493320465, | |
| "train_loss": 0.22562158174739352 | |
| } | |
| ], | |
| "inventory_hash": "", | |
| "library_versions": { | |
| "torch": "2.13.0+cu130", | |
| "transformers": "4.57.6" | |
| }, | |
| "parameters": 278044417, | |
| "seconds": 12283.827242612839 | |
| } | |