| 2026-04-24 17:13:03,934 - INFO - Loading model and tokenizer from: output_checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-500 |
| 2026-04-24 17:13:04,114 - INFO - ===== Model Architecture ===== |
| 2026-04-24 17:13:04,116 - INFO - |
| RobertaForSequenceClassification( |
| (roberta): RobertaModel( |
| (embeddings): RobertaEmbeddings( |
| (word_embeddings): Embedding(50265, 768, padding_idx=1) |
| (position_embeddings): Embedding(514, 768, padding_idx=1) |
| (token_type_embeddings): Embedding(1, 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) |
| ) |
| ) |
| 2026-04-24 17:13:04,120 - INFO - ===== Parameter Summary ===== |
| 2026-04-24 17:13:04,121 - INFO - Total Parameters: 124,647,170 |
| 2026-04-24 17:13:04,123 - INFO - Trainable Parameters: 124,647,170 |
| 2026-04-24 17:13:04,124 - INFO - Non-trainable Parameters: 0 |
| 2026-04-24 17:13:04,126 - INFO - ===== Tokenizer Summary ===== |
| 2026-04-24 17:13:04,144 - INFO - Vocab size: 50265 | Special tokens: ['<s>', '</s>', '<unk>', '<pad>', '<mask>'] |
| 2026-04-24 17:13:04,146 - INFO - ===== End of Architecture Log ===== |
| 2026-04-24 17:13:04,311 - INFO - Loading dataset: DaniilOr/SemEval-2026-Task13 (A) |
| 2026-04-24 17:13:04,792 - INFO - Tokenizing dataset... |
| 2026-04-24 17:13:04,829 - INFO - Running inference on 1000 examples... |
| 2026-04-24 17:13:35,339 - INFO - Calculating classification metrics... |
| 2026-04-24 17:13:35,359 - INFO - ------------------------------ |
| 2026-04-24 17:13:35,361 - INFO - METRICS FOR SPLIT: test |
| 2026-04-24 17:13:35,362 - INFO - Accuracy: 0.7390 |
| 2026-04-24 17:13:35,364 - INFO - Precision: 0.6762 |
| 2026-04-24 17:13:35,365 - INFO - Recall: 0.7390 |
| 2026-04-24 17:13:35,366 - INFO - F1-Score: 0.6959 |
| 2026-04-24 17:13:35,368 - INFO - ------------------------------ |
| 2026-04-24 17:13:35,370 - INFO - Confusion Matrix: |
| [[711 66] |
| [195 28]] |
| 2026-04-24 17:13:35,372 - INFO - ✅ Metrics saved to test/inference/graphcodebert-base-lowLR-highBatchSize/checkpoint-500/metrics.json |
| 2026-04-24 17:13:35,375 - INFO - ✅ Predictions saved to test/inference/graphcodebert-base-lowLR-highBatchSize/checkpoint-500/submission.csv |
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