| 2026-04-23 14:54:53,797 - INFO - Loading model and tokenizer from: output_checkpoints/unixcoder-base/final_model |
| 2026-04-23 14:54:53,967 - INFO - ===== Model Architecture ===== |
| 2026-04-23 14:54:53,969 - INFO - |
| RobertaForSequenceClassification( |
| (roberta): RobertaModel( |
| (embeddings): RobertaEmbeddings( |
| (word_embeddings): Embedding(51416, 768, padding_idx=1) |
| (position_embeddings): Embedding(1026, 768, padding_idx=1) |
| (token_type_embeddings): Embedding(10, 768) |
| (LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) |
| (dropout): Dropout(p=0.3, inplace=False) |
| ) |
| (encoder): RobertaEncoder( |
| (layer): ModuleList( |
| (0-11): 12 x RobertaLayer( |
| (attention): RobertaAttention( |
| (self): RobertaSdpaSelfAttention( |
| (query): Linear(in_features=768, out_features=768, bias=True) |
| (key): Linear(in_features=768, out_features=768, bias=True) |
| (value): Linear(in_features=768, out_features=768, bias=True) |
| (dropout): Dropout(p=0.3, inplace=False) |
| ) |
| (output): RobertaSelfOutput( |
| (dense): Linear(in_features=768, out_features=768, bias=True) |
| (LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) |
| (dropout): Dropout(p=0.3, inplace=False) |
| ) |
| ) |
| (intermediate): RobertaIntermediate( |
| (dense): Linear(in_features=768, out_features=3072, bias=True) |
| (intermediate_act_fn): GELUActivation() |
| ) |
| (output): RobertaOutput( |
| (dense): Linear(in_features=3072, out_features=768, bias=True) |
| (LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) |
| (dropout): Dropout(p=0.3, inplace=False) |
| ) |
| ) |
| ) |
| ) |
| ) |
| (classifier): RobertaClassificationHead( |
| (dense): Linear(in_features=768, out_features=768, bias=True) |
| (dropout): Dropout(p=0.3, inplace=False) |
| (out_proj): Linear(in_features=768, out_features=2, bias=True) |
| ) |
| ) |
| 2026-04-23 14:54:53,972 - INFO - ===== Parameter Summary ===== |
| 2026-04-23 14:54:53,973 - INFO - Total Parameters: 125,931,266 |
| 2026-04-23 14:54:53,974 - INFO - Trainable Parameters: 125,931,266 |
| 2026-04-23 14:54:53,975 - INFO - Non-trainable Parameters: 0 |
| 2026-04-23 14:54:53,977 - INFO - ===== Tokenizer Summary ===== |
| 2026-04-23 14:54:53,993 - INFO - Vocab size: 51416 | Special tokens: ['<s>', '</s>', '<unk>', '<pad>', '<mask>'] |
| 2026-04-23 14:54:53,995 - INFO - ===== End of Architecture Log ===== |
| 2026-04-23 14:54:54,167 - INFO - Loading dataset: DaniilOr/SemEval-2026-Task13 (A) |
| 2026-04-23 14:54:54,652 - INFO - Tokenizing dataset... |
| 2026-04-23 14:54:55,793 - INFO - Running inference on 1000 examples... |
| 2026-04-23 14:55:23,416 - INFO - Calculating classification metrics... |
| 2026-04-23 14:55:23,435 - INFO - ------------------------------ |
| 2026-04-23 14:55:23,436 - INFO - METRICS FOR SPLIT: test |
| 2026-04-23 14:55:23,438 - INFO - Accuracy: 0.7420 |
| 2026-04-23 14:55:23,439 - INFO - Precision: 0.6199 |
| 2026-04-23 14:55:23,441 - INFO - Recall: 0.7420 |
| 2026-04-23 14:55:23,442 - INFO - F1-Score: 0.6681 |
| 2026-04-23 14:55:23,443 - INFO - ------------------------------ |
| 2026-04-23 14:55:23,446 - INFO - Confusion Matrix: |
| [[738 39] |
| [219 4]] |
| 2026-04-23 14:55:23,448 - INFO - ✅ Predictions saved to test/inference/unixcoder-base/submission.csv |
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