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classification_report.json

@@ -0,0 +1,33 @@
+{
+  "negative": {
+    "precision": 0.839221824686941,
+    "recall": 0.834,
+    "f1-score": 0.8366027641551493,
+    "support": 4500.0
+  },
+  "neutral": {
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+    "recall": 1.0,
+    "f1-score": 0.9996667777407531,
+    "support": 1500.0
+  },
+  "positive": {
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+    "recall": 0.8402222222222222,
+    "f1-score": 0.83770909493741,
+    "support": 4500.0
+  },
+  "accuracy": 0.8603809523809524,
+  "macro avg": {
+    "precision": 0.8912555195506474,
+    "recall": 0.8914074074074074,
+    "f1-score": 0.8913262122777708,
+    "support": 10500.0
+  },
+  "weighted avg": {
+    "precision": 0.8603760172846383,
+    "recall": 0.8603809523809524,
+    "f1-score": 0.8603717650026329,
+    "support": 10500.0
+  }
+}

config.json

@@ -0,0 +1,34 @@
+{
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "dtype": "float32",
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "negative",
+    "1": "neutral",
+    "2": "positive"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "negative": 0,
+    "neutral": 1,
+    "positive": 2
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.56.2",
+  "vocab_size": 30522
+}

evaluation_results.json

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+{
+  "overall_metrics": {
+    "accuracy": 0.85,
+    "f1_macro": 0.8786689915722175,
+    "f1_weighted": 0.8497929380993898,
+    "f1_micro": 0.85,
+    "precision_macro": 0.8793354707082482,
+    "recall_macro": 0.8781642512077296
+  },
+  "per_class_metrics": {
+    "negative": {
+      "precision": 0.8297872340425532,
+      "recall": 0.8478260869565217,
+      "f1-score": 0.8387096774193549,
+      "support": 92.0
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+    "neutral": {
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+      "recall": 1.0,
+      "f1-score": 1.0,
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+    "positive": {
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+      "recall": 0.7866666666666666,
+      "f1-score": 0.7972972972972973,
+      "support": 75.0
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+    "accuracy": 0.85,
+    "macro avg": {
+      "precision": 0.8793354707082482,
+      "recall": 0.8781642512077296,
+      "f1-score": 0.8786689915722175,
+      "support": 200.0
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+    "weighted avg": {
+      "precision": 0.8497843194403965,
+      "recall": 0.85,
+      "f1-score": 0.8497929380993898,
+      "support": 200.0
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+  "confusion_matrix": [
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+      14
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+  "class_names": [
+    "negative",
+    "neutral",
+    "positive"
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+  "roc_auc_scores": {}
+}

label_mappings.json

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+{
+  "labels": [
+    "negative",
+    "neutral",
+    "positive"
+  ],
+  "label2id": {
+    "negative": 0,
+    "neutral": 1,
+    "positive": 2
+  },
+  "id2label": {
+    "0": "negative",
+    "1": "neutral",
+    "2": "positive"
+  }
+}

model.safetensors

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+size 267835644

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 5368