Upload CodeBERT Task B baseline metrics

config.json

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+{
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
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+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
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+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8",
+    "9": "LABEL_9",
+    "10": "LABEL_10"
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+    "LABEL_8": 8,
+    "LABEL_9": 9
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+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.53.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

confusion_matrix_val_seen.csv

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metrics_summary_val.json

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+{
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+    "roc_auc_ovr_macro": 0.9822138871330442,
+    "pr_auc_binary": NaN
+  }
+}

metrics_val_seen.json

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model.safetensors

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per_class_val_seen.csv

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special_tokens_map.json

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+{
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+    "normalized": true,
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tokenizer_config.json

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+{
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+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
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+}

training_args.bin

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