File size: 3,367 Bytes
d660c99 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | 2026-04-28 04:22:23,122 - INFO - Loading model and tokenizer from: checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-1022
2026-04-28 04:22:23,386 - INFO - ===== Model Architecture =====
2026-04-28 04:22:23,387 - 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)
)
)
2026-04-28 04:22:23,389 - INFO - ===== Parameter Summary =====
2026-04-28 04:22:23,390 - INFO - Total Parameters: 124,647,170
2026-04-28 04:22:23,391 - INFO - Trainable Parameters: 124,647,170
2026-04-28 04:22:23,392 - INFO - Non-trainable Parameters: 0
2026-04-28 04:22:23,393 - INFO - ===== Tokenizer Summary =====
2026-04-28 04:22:23,408 - INFO - Vocab size: 50265 | Special tokens: ['<s>', '</s>', '<unk>', '<pad>', '<mask>']
2026-04-28 04:22:23,409 - INFO - ===== End of Architecture Log =====
2026-04-28 04:22:23,831 - INFO - Loading dataset from: /kaggle/input/datasets/dzung271828/semeval/Task_A/test.parquet
2026-04-28 04:22:23,832 - INFO - Detected .parquet file – loading directly with datasets (memory-mapped)
2026-04-28 04:22:30,067 - INFO - Loaded Parquet file with 500000 examples (memory-mapped)
2026-04-28 04:22:30,068 - INFO - Columns found: ['ID', 'code', '__index_level_0__']
2026-04-28 04:22:30,072 - INFO - Tokenizing dataset...
2026-04-28 04:27:31,809 - INFO - Running inference on 500000 examples...
2026-04-28 08:29:06,190 - WARNING - No 'label' column found. Skipping metric calculation.
2026-04-28 08:29:11,935 - INFO - ✅ Predictions saved to test/inference/graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/checkpoint-1022-submission.csv
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