File size: 3,618 Bytes
462aef7 | 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 64 65 66 67 68 69 70 71 | 2026-04-24 17:12:05,101 - INFO - Loading model and tokenizer from: output_checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-450
2026-04-24 17:12:05,271 - INFO - ===== Model Architecture =====
2026-04-24 17:12:05,274 - 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 17:12:05,276 - INFO - ===== Parameter Summary =====
2026-04-24 17:12:05,277 - INFO - Total Parameters: 124,647,170
2026-04-24 17:12:05,278 - INFO - Trainable Parameters: 124,647,170
2026-04-24 17:12:05,279 - INFO - Non-trainable Parameters: 0
2026-04-24 17:12:05,282 - INFO - ===== Tokenizer Summary =====
2026-04-24 17:12:05,297 - INFO - Vocab size: 50265 | Special tokens: ['<s>', '</s>', '<unk>', '<pad>', '<mask>']
2026-04-24 17:12:05,299 - INFO - ===== End of Architecture Log =====
2026-04-24 17:12:05,463 - INFO - Loading dataset: DaniilOr/SemEval-2026-Task13 (A)
2026-04-24 17:12:05,959 - INFO - Tokenizing dataset...
2026-04-24 17:12:05,993 - INFO - Running inference on 1000 examples...
2026-04-24 17:12:36,750 - INFO - Calculating classification metrics...
2026-04-24 17:12:36,769 - INFO - ------------------------------
2026-04-24 17:12:36,771 - INFO - METRICS FOR SPLIT: test
2026-04-24 17:12:36,772 - INFO - Accuracy: 0.7380
2026-04-24 17:12:36,774 - INFO - Precision: 0.6753
2026-04-24 17:12:36,776 - INFO - Recall: 0.7380
2026-04-24 17:12:36,777 - INFO - F1-Score: 0.6952
2026-04-24 17:12:36,780 - INFO - ------------------------------
2026-04-24 17:12:36,781 - INFO - Confusion Matrix:
[[710 67]
[195 28]]
2026-04-24 17:12:36,783 - INFO - ✅ Metrics saved to test/inference/graphcodebert-base-lowLR-highBatchSize/checkpoint-450/metrics.json
2026-04-24 17:12:36,786 - INFO - ✅ Predictions saved to test/inference/graphcodebert-base-lowLR-highBatchSize/checkpoint-450/submission.csv
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