| 2026-04-24 17:10:51,664 - INFO - Loading model and tokenizer from: output_checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-400 |
| 2026-04-24 17:10:51,869 - INFO - ===== Model Architecture ===== |
| 2026-04-24 17:10:51,872 - 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 17:10:51,874 - INFO - ===== Parameter Summary ===== |
| 2026-04-24 17:10:51,876 - INFO - Total Parameters: 124,647,170 |
| 2026-04-24 17:10:51,877 - INFO - Trainable Parameters: 124,647,170 |
| 2026-04-24 17:10:51,879 - INFO - Non-trainable Parameters: 0 |
| 2026-04-24 17:10:51,881 - INFO - ===== Tokenizer Summary ===== |
| 2026-04-24 17:10:51,896 - INFO - Vocab size: 50265 | Special tokens: ['<s>', '</s>', '<unk>', '<pad>', '<mask>'] |
| 2026-04-24 17:10:51,898 - INFO - ===== End of Architecture Log ===== |
| 2026-04-24 17:10:52,067 - INFO - Loading dataset: DaniilOr/SemEval-2026-Task13 (A) |
| 2026-04-24 17:10:52,562 - INFO - Tokenizing dataset... |
| 2026-04-24 17:10:53,909 - INFO - Running inference on 1000 examples... |
| 2026-04-24 17:11:23,974 - INFO - Calculating classification metrics... |
| 2026-04-24 17:11:23,994 - INFO - ------------------------------ |
| 2026-04-24 17:11:23,996 - INFO - METRICS FOR SPLIT: test |
| 2026-04-24 17:11:23,997 - INFO - Accuracy: 0.7400 |
| 2026-04-24 17:11:23,999 - INFO - Precision: 0.6710 |
| 2026-04-24 17:11:24,000 - INFO - Recall: 0.7400 |
| 2026-04-24 17:11:24,001 - INFO - F1-Score: 0.6924 |
| 2026-04-24 17:11:24,002 - INFO - ------------------------------ |
| 2026-04-24 17:11:24,004 - INFO - Confusion Matrix: |
| [[716 61] |
| [199 24]] |
| 2026-04-24 17:11:24,006 - INFO - ✅ Metrics saved to test/inference/graphcodebert-base-lowLR-highBatchSize/checkpoint-400/metrics.json |
| 2026-04-24 17:11:24,008 - INFO - ✅ Predictions saved to test/inference/graphcodebert-base-lowLR-highBatchSize/checkpoint-400/submission.csv |
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