Text Classification
Transformers
Safetensors
Russian
modernbert
nli
russian
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Feudor2/rumodernbert-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Feudor2/rumodernbert-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Feudor2/rumodernbert-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Feudor2/rumodernbert-nli") model = AutoModelForSequenceClassification.from_pretrained("Feudor2/rumodernbert-nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 0.7115167574463909, | |
| "test_accuracy": 0.8343428516488799, | |
| "test_loss": 0.4437112808227539, | |
| "test_macro_f1": 0.8118041581585992, | |
| "test_mean_roc_auc": 0.9433917094858958, | |
| "test_roc_auc_contradiction": 0.9572877374143007, | |
| "test_roc_auc_entailment": 0.9579965195534502, | |
| "test_roc_auc_neutral": 0.9148908714899363, | |
| "test_runtime": 41.151, | |
| "test_samples_per_second": 758.255, | |
| "test_steps_per_second": 23.718 | |
| } |