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graphcodebert-code-classification

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dzungpham commited on
Commit
caed328
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1 Parent(s): 2a362eb

upload inference results on 500k-sample test set using checkpoint 200

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Files changed (2) hide show
  1. inference/graphcodebert-robust/inference.log +17 -139
  2. inference/graphcodebert-robust/submission.csv +0 -0
inference/graphcodebert-robust/inference.log CHANGED
@@ -1,6 +1,6 @@
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- 2026-04-16 09:16:18,911 - INFO - Loading model and tokenizer from: ./checkpoints/graphcodebert-robust/checkpoint-200
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- 2026-04-16 09:16:20,848 - INFO - ===== Model Architecture =====
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- 2026-04-16 09:16:20,851 - INFO -
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  RobertaForSequenceClassification(
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  (roberta): RobertaModel(
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  (embeddings): RobertaEmbeddings(
@@ -45,139 +45,17 @@ RobertaForSequenceClassification(
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  (out_proj): Linear(in_features=768, out_features=2, bias=True)
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  )
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  )
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- 2026-04-16 09:16:20,853 - INFO - ===== Parameter Summary =====
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- 2026-04-16 09:16:20,855 - INFO - Total Parameters: 124,647,170
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- 2026-04-16 09:16:20,857 - INFO - Trainable Parameters: 124,647,170
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- 2026-04-16 09:16:20,858 - INFO - Non-trainable Parameters: 0
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- 2026-04-16 09:16:20,859 - INFO - ===== Tokenizer Summary =====
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- 2026-04-16 09:16:20,874 - INFO - Vocab size: 50265 | Special tokens: ['<s>', '</s>', '<unk>', '<pad>', '<mask>']
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- 2026-04-16 09:16:20,876 - INFO - ===== End of Architecture Log =====
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- 2026-04-16 09:16:21,287 - INFO - Loading dataset: DaniilOr/SemEval-2026-Task13 (A)
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- 2026-04-16 09:16:28,538 - INFO - Tokenizing dataset...
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- 2026-04-16 09:16:29,324 - INFO - Running inference on 1000 examples...
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- 2026-04-16 09:16:55,877 - INFO - Calculating classification metrics...
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- 2026-04-16 09:16:55,902 - INFO - ------------------------------
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- 2026-04-16 09:16:55,904 - INFO - METRICS FOR SPLIT: test
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- 2026-04-16 09:16:55,905 - INFO - Accuracy: 0.5030
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- 2026-04-16 09:16:55,907 - INFO - Precision: 0.6228
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- 2026-04-16 09:16:55,909 - INFO - Recall: 0.5030
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- 2026-04-16 09:16:55,910 - INFO - F1-Score: 0.5438
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- 2026-04-16 09:16:55,912 - INFO - ------------------------------
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- 2026-04-16 09:16:55,918 - INFO - Confusion Matrix:
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- [[422 355]
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- [142 81]]
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- 2026-04-16 09:16:55,921 - INFO - ✅ Predictions saved to test/inference/graphcodebert-robust/submission.csv
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- 2026-04-16 10:06:49,138 - INFO - Loading model and tokenizer from: ./output_checkpoints/graphcodebert-robust/checkpoint-1000
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- 2026-04-16 10:06:49,327 - INFO - ===== Model Architecture =====
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- 2026-04-16 10:06:49,331 - INFO -
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- RobertaForSequenceClassification(
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- (roberta): RobertaModel(
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- (embeddings): RobertaEmbeddings(
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- (word_embeddings): Embedding(50265, 768, padding_idx=1)
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- (position_embeddings): Embedding(514, 768, padding_idx=1)
78
- (token_type_embeddings): Embedding(1, 768)
79
- (LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
80
- (dropout): Dropout(p=0.2, inplace=False)
81
- )
82
- (encoder): RobertaEncoder(
83
- (layer): ModuleList(
84
- (0-11): 12 x RobertaLayer(
85
- (attention): RobertaAttention(
86
- (self): RobertaSdpaSelfAttention(
87
- (query): Linear(in_features=768, out_features=768, bias=True)
88
- (key): Linear(in_features=768, out_features=768, bias=True)
89
- (value): Linear(in_features=768, out_features=768, bias=True)
90
- (dropout): Dropout(p=0.2, inplace=False)
91
- )
92
- (output): RobertaSelfOutput(
93
- (dense): Linear(in_features=768, out_features=768, bias=True)
94
- (LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
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- (dropout): Dropout(p=0.2, inplace=False)
96
- )
97
- )
98
- (intermediate): RobertaIntermediate(
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- (dense): Linear(in_features=768, out_features=3072, bias=True)
100
- (intermediate_act_fn): GELUActivation()
101
- )
102
- (output): RobertaOutput(
103
- (dense): Linear(in_features=3072, out_features=768, bias=True)
104
- (LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
105
- (dropout): Dropout(p=0.2, inplace=False)
106
- )
107
- )
108
- )
109
- )
110
- )
111
- (classifier): RobertaClassificationHead(
112
- (dense): Linear(in_features=768, out_features=768, bias=True)
113
- (dropout): Dropout(p=0.2, inplace=False)
114
- (out_proj): Linear(in_features=768, out_features=2, bias=True)
115
- )
116
- )
117
- 2026-04-16 10:06:49,337 - INFO - ===== Parameter Summary =====
118
- 2026-04-16 10:06:49,340 - INFO - Total Parameters: 124,647,170
119
- 2026-04-16 10:06:49,343 - INFO - Trainable Parameters: 124,647,170
120
- 2026-04-16 10:06:49,346 - INFO - Non-trainable Parameters: 0
121
- 2026-04-16 10:06:49,349 - INFO - ===== Tokenizer Summary =====
122
- 2026-04-16 10:06:49,366 - INFO - Vocab size: 50265 | Special tokens: ['<s>', '</s>', '<unk>', '<pad>', '<mask>']
123
- 2026-04-16 10:06:49,369 - INFO - ===== End of Architecture Log =====
124
- 2026-04-16 10:06:49,539 - INFO - Loading dataset: dzungpham/SemEval-2026-TaskA-dataset (default)
125
- 2026-04-16 10:08:44,659 - INFO - Loading model and tokenizer from: ./output_checkpoints/graphcodebert-robust/checkpoint-1000
126
- 2026-04-16 10:08:44,856 - INFO - ===== Model Architecture =====
127
- 2026-04-16 10:08:44,861 - INFO -
128
- RobertaForSequenceClassification(
129
- (roberta): RobertaModel(
130
- (embeddings): RobertaEmbeddings(
131
- (word_embeddings): Embedding(50265, 768, padding_idx=1)
132
- (position_embeddings): Embedding(514, 768, padding_idx=1)
133
- (token_type_embeddings): Embedding(1, 768)
134
- (LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
135
- (dropout): Dropout(p=0.2, inplace=False)
136
- )
137
- (encoder): RobertaEncoder(
138
- (layer): ModuleList(
139
- (0-11): 12 x RobertaLayer(
140
- (attention): RobertaAttention(
141
- (self): RobertaSdpaSelfAttention(
142
- (query): Linear(in_features=768, out_features=768, bias=True)
143
- (key): Linear(in_features=768, out_features=768, bias=True)
144
- (value): Linear(in_features=768, out_features=768, bias=True)
145
- (dropout): Dropout(p=0.2, inplace=False)
146
- )
147
- (output): RobertaSelfOutput(
148
- (dense): Linear(in_features=768, out_features=768, bias=True)
149
- (LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
150
- (dropout): Dropout(p=0.2, inplace=False)
151
- )
152
- )
153
- (intermediate): RobertaIntermediate(
154
- (dense): Linear(in_features=768, out_features=3072, bias=True)
155
- (intermediate_act_fn): GELUActivation()
156
- )
157
- (output): RobertaOutput(
158
- (dense): Linear(in_features=3072, out_features=768, bias=True)
159
- (LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
160
- (dropout): Dropout(p=0.2, inplace=False)
161
- )
162
- )
163
- )
164
- )
165
- )
166
- (classifier): RobertaClassificationHead(
167
- (dense): Linear(in_features=768, out_features=768, bias=True)
168
- (dropout): Dropout(p=0.2, inplace=False)
169
- (out_proj): Linear(in_features=768, out_features=2, bias=True)
170
- )
171
- )
172
- 2026-04-16 10:08:44,865 - INFO - ===== Parameter Summary =====
173
- 2026-04-16 10:08:44,867 - INFO - Total Parameters: 124,647,170
174
- 2026-04-16 10:08:44,870 - INFO - Trainable Parameters: 124,647,170
175
- 2026-04-16 10:08:44,874 - INFO - Non-trainable Parameters: 0
176
- 2026-04-16 10:08:44,876 - INFO - ===== Tokenizer Summary =====
177
- 2026-04-16 10:08:44,893 - INFO - Vocab size: 50265 | Special tokens: ['<s>', '</s>', '<unk>', '<pad>', '<mask>']
178
- 2026-04-16 10:08:44,896 - INFO - ===== End of Architecture Log =====
179
- 2026-04-16 10:08:45,082 - INFO - Loading dataset: dzungpham/SemEval-2026-TaskA-dataset (default)
180
- 2026-04-16 10:08:51,304 - WARNING - Default loading failed due to schema mismatch: An error occurred while generating the dataset
181
- 2026-04-16 10:08:51,307 - INFO - Attempting to load split 'test' using data_files...
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- 2026-04-16 10:08:55,114 - INFO - Tokenizing dataset...
183
- 2026-04-16 10:14:03,634 - INFO - Running inference on 500000 examples...
 
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+ 2026-04-16 10:42:50,167 - INFO - Loading model and tokenizer from: checkpoints/graphcodebert-robust/checkpoint-200
2
+ 2026-04-16 10:42:50,469 - INFO - ===== Model Architecture =====
3
+ 2026-04-16 10:42:50,471 - INFO -
4
  RobertaForSequenceClassification(
5
  (roberta): RobertaModel(
6
  (embeddings): RobertaEmbeddings(
 
45
  (out_proj): Linear(in_features=768, out_features=2, bias=True)
46
  )
47
  )
48
+ 2026-04-16 10:42:50,475 - INFO - ===== Parameter Summary =====
49
+ 2026-04-16 10:42:50,478 - INFO - Total Parameters: 124,647,170
50
+ 2026-04-16 10:42:50,480 - INFO - Trainable Parameters: 124,647,170
51
+ 2026-04-16 10:42:50,483 - INFO - Non-trainable Parameters: 0
52
+ 2026-04-16 10:42:50,485 - INFO - ===== Tokenizer Summary =====
53
+ 2026-04-16 10:42:50,501 - INFO - Vocab size: 50265 | Special tokens: ['<s>', '</s>', '<unk>', '<pad>', '<mask>']
54
+ 2026-04-16 10:42:50,503 - INFO - ===== End of Architecture Log =====
55
+ 2026-04-16 10:42:50,964 - INFO - Loading dataset: dzungpham/SemEval-2026-TaskA-dataset (default)
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+ 2026-04-16 10:43:17,351 - WARNING - Default loading failed due to schema mismatch: An error occurred while generating the dataset
57
+ 2026-04-16 10:43:17,353 - INFO - Attempting to load split 'test' using data_files...
58
+ 2026-04-16 10:43:21,380 - INFO - Tokenizing dataset...
59
+ 2026-04-16 10:48:34,156 - INFO - Running inference on 500000 examples...
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+ 2026-04-16 15:41:53,221 - WARNING - No 'label' column found in dataset. Skipping metric calculation.
61
+ 2026-04-16 15:41:59,383 - INFO - ✅ Predictions saved to test/inference/graphcodebert-robust/submission.csv
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
inference/graphcodebert-robust/submission.csv CHANGED
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