 sloberta-si-nli  SloBERTa model finetuned on the SI-NLI dataset for Slovene natural language inference.   Fine-tuned in a classic sequence pair classification setting on the official training/validation/test split for 10 epochs, using validation set accuracy for model selection. Optimized using the AdamW optimizer (learning rate 2e-5) and cross-entropy loss.   Using batch size `82` (selected based on the available GPU memory) and maximum sequence length `102` (99th percentile of the lengths in the training set).  Achieves the following metrics:   - best validation accuracy: `0.720` - test accuracy = `0.735`