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config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "No Poverty",
+    "1": "Zero Hunger",
+    "2": "Good Health and Well-Being",
+    "3": "Quality Education",
+    "4": "Gender Equality",
+    "5": "Clean Water and Sanitation",
+    "6": "Affordable and Clean Energy",
+    "7": "Decent Work and Economic Growth",
+    "8": "Industry, Innovation, and Infrastructure",
+    "9": "Reduced Inequalities",
+    "10": "Sustainable Cites and Communities",
+    "11": "Responsible Consumption and Production",
+    "12": "Climate Action",
+    "13": "Life Below Water",
+    "14": "Life on Land",
+    "15": "Peace, Justice, and Strong Institutions"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "Affordable and Clean Energy": 6,
+    "Clean Water and Sanitation": 5,
+    "Climate Action": 12,
+    "Decent Work and Economic Growth": 7,
+    "Gender Equality": 4,
+    "Good Health and Well-Being": 2,
+    "Industry, Innovation, and Infrastructure": 8,
+    "Life Below Water": 13,
+    "Life on Land": 14,
+    "No Poverty": 0,
+    "Peace, Justice, and Strong Institutions": 15,
+    "Quality Education": 3,
+    "Reduced Inequalities": 9,
+    "Responsible Consumption and Production": 11,
+    "Sustainable Cites and Communities": 10,
+    "Zero Hunger": 1
+  },
+  "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,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "vocab_size": 30522
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:831edb6b05738787aec4716aeaebdf938425ee32a96bb8b87e2813db16ade9ac
+size 267875632

results.json

@@ -0,0 +1,41 @@
+{
+    "eval_loss": 0.5905242562294006,
+    "eval_f1": 0.8826408362261805,
+    "eval_precision": 0.8831544921011432,
+    "eval_recall": 0.8833041439338409,
+    "eval_runtime": 32.3446,
+    "eval_samples_per_second": 108.859,
+    "eval_steps_per_second": 36.297,
+    "epoch": 5.0,
+    "test_results": {
+        "eval_loss": 0.6048845052719116,
+        "eval_f1": 0.8779557099705664,
+        "eval_precision": 0.8815461641716381,
+        "eval_recall": 0.8771328012904707,
+        "eval_runtime": 27.4018,
+        "eval_samples_per_second": 128.495,
+        "eval_steps_per_second": 42.844,
+        "epoch": 5.0
+    },
+    "label_mapping": {
+        "0": "No Poverty",
+        "1": "Zero Hunger",
+        "2": "Good Health and Well-Being",
+        "3": "Quality Education",
+        "4": "Gender Equality",
+        "5": "Clean Water and Sanitation",
+        "6": "Affordable and Clean Energy",
+        "7": "Decent Work and Economic Growth",
+        "8": "Industry, Innovation, and Infrastructure",
+        "9": "Reduced Inequalities",
+        "10": "Sustainable Cites and Communities",
+        "11": "Responsible Consumption and Production",
+        "12": "Climate Action",
+        "13": "Life Below Water",
+        "14": "Life on Land",
+        "15": "Peace, Justice, and Strong Institutions"
+    },
+    "emissions": 0.0103417205310519,
+    "test_report": "                                          precision    recall  f1-score   support\n\n                              No Poverty       0.77      0.88      0.82       186\n                             Zero Hunger       0.82      0.90      0.86       125\n              Good Health and Well-Being       0.95      0.98      0.97       277\n                       Quality Education       0.94      0.95      0.95       355\n                         Gender Equality       0.94      0.96      0.95       365\n              Clean Water and Sanitation       0.92      0.94      0.93       201\n             Affordable and Clean Energy       0.89      0.93      0.91       287\n         Decent Work and Economic Growth       0.71      0.64      0.67       136\nIndustry, Innovation, and Infrastructure       0.86      0.81      0.83       239\n                    Reduced Inequalities       0.77      0.60      0.68       143\n       Sustainable Cites and Communities       0.89      0.84      0.86       194\n  Responsible Consumption and Production       0.88      0.88      0.88        80\n                          Climate Action       0.86      0.84      0.85       167\n                        Life Below Water       0.99      0.94      0.96       114\n                            Life on Land       0.92      0.97      0.94       191\n Peace, Justice, and Strong Institutions       1.00      0.98      0.99       461\n\n                                accuracy                           0.90      3521\n                               macro avg       0.88      0.88      0.88      3521\n                            weighted avg       0.90      0.90      0.90      3521\n",
+    "val_report": "                                          precision    recall  f1-score   support\n\n                              No Poverty       0.83      0.88      0.86       187\n                             Zero Hunger       0.86      0.92      0.89       124\n              Good Health and Well-Being       0.95      0.95      0.95       278\n                       Quality Education       0.94      0.96      0.95       354\n                         Gender Equality       0.93      0.95      0.94       365\n              Clean Water and Sanitation       0.92      0.97      0.94       200\n             Affordable and Clean Energy       0.92      0.91      0.92       286\n         Decent Work and Economic Growth       0.73      0.68      0.70       135\nIndustry, Innovation, and Infrastructure       0.91      0.86      0.88       239\n                    Reduced Inequalities       0.79      0.69      0.74       144\n       Sustainable Cites and Communities       0.86      0.86      0.86       194\n  Responsible Consumption and Production       0.77      0.72      0.75        80\n                          Climate Action       0.84      0.89      0.86       167\n                        Life Below Water       0.92      0.97      0.94       115\n                            Life on Land       0.95      0.95      0.95       191\n Peace, Justice, and Strong Institutions       0.99      0.98      0.99       462\n\n                                accuracy                           0.91      3521\n                               macro avg       0.88      0.88      0.88      3521\n                            weighted avg       0.91      0.91      0.91      3521\n"
+}

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
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "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]"
+}