dzungpham/graphcodebert-code-classification

12026-04-16 10:42:50,167 - INFO - Loading model and tokenizer from: checkpoints/graphcodebert-robust/checkpoint-20022026-04-16 10:42:50,469 - INFO - ===== Model Architecture =====32026-04-16 10:42:50,471 - INFO - 4RobertaForSequenceClassification(5  (roberta): RobertaModel(6    (embeddings): RobertaEmbeddings(7      (word_embeddings): Embedding(50265, 768, padding_idx=1)8      (position_embeddings): Embedding(514, 768, padding_idx=1)9      (token_type_embeddings): Embedding(1, 768)10      (LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)11      (dropout): Dropout(p=0.2, inplace=False)12    )13    (encoder): RobertaEncoder(14      (layer): ModuleList(15        (0-11): 12 x RobertaLayer(16          (attention): RobertaAttention(17            (self): RobertaSdpaSelfAttention(18              (query): Linear(in_features=768, out_features=768, bias=True)19              (key): Linear(in_features=768, out_features=768, bias=True)20              (value): Linear(in_features=768, out_features=768, bias=True)21              (dropout): Dropout(p=0.2, inplace=False)22            )23            (output): RobertaSelfOutput(24              (dense): Linear(in_features=768, out_features=768, bias=True)25              (LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)26              (dropout): Dropout(p=0.2, inplace=False)27            )28          )29          (intermediate): RobertaIntermediate(30            (dense): Linear(in_features=768, out_features=3072, bias=True)31            (intermediate_act_fn): GELUActivation()32          )33          (output): RobertaOutput(34            (dense): Linear(in_features=3072, out_features=768, bias=True)35            (LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)36            (dropout): Dropout(p=0.2, inplace=False)37          )38        )39      )40    )41  )42  (classifier): RobertaClassificationHead(43    (dense): Linear(in_features=768, out_features=768, bias=True)44    (dropout): Dropout(p=0.2, inplace=False)45    (out_proj): Linear(in_features=768, out_features=2, bias=True)46  )47)482026-04-16 10:42:50,475 - INFO - ===== Parameter Summary =====492026-04-16 10:42:50,478 - INFO - Total Parameters:         124,647,170502026-04-16 10:42:50,480 - INFO - Trainable Parameters:     124,647,170512026-04-16 10:42:50,483 - INFO - Non-trainable Parameters: 0522026-04-16 10:42:50,485 - INFO - ===== Tokenizer Summary =====532026-04-16 10:42:50,501 - INFO - Vocab size: 50265 | Special tokens: ['<s>', '</s>', '<unk>', '<pad>', '<mask>']542026-04-16 10:42:50,503 - INFO - ===== End of Architecture Log =====552026-04-16 10:42:50,964 - INFO - Loading dataset: dzungpham/SemEval-2026-TaskA-dataset (default)562026-04-16 10:43:17,351 - WARNING - Default loading failed due to schema mismatch: An error occurred while generating the dataset572026-04-16 10:43:17,353 - INFO - Attempting to load split 'test' using data_files...582026-04-16 10:43:21,380 - INFO - Tokenizing dataset...592026-04-16 10:48:34,156 - INFO - Running inference on 500000 examples...602026-04-16 15:41:53,221 - WARNING - No 'label' column found in dataset. Skipping metric calculation.612026-04-16 15:41:59,383 - INFO - ✅ Predictions saved to test/inference/graphcodebert-robust/submission.csv62