BERT-crime-analysis

README.md

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+---
+license: apache-2.0
+base_model: google-bert/bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: results
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# results
+
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1241
+- Macro f1: 0.8944
+- Weighted f1: 0.9315
+- Accuracy: 0.9380
+- Balanced accuracy: 0.9042
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Macro f1 | Weighted f1 | Accuracy | Balanced accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:-----------:|:--------:|:-----------------:|
+| 0.1859        | 1.0   | 5538   | 0.1297          | 0.8561   | 0.9249      | 0.9366   | 0.8571            |
+| 0.1281        | 2.0   | 11076  | 0.1260          | 0.8702   | 0.9248      | 0.9369   | 0.8740            |
+| 0.1279        | 3.0   | 16614  | 0.1251          | 0.8728   | 0.9314      | 0.9380   | 0.8749            |
+| 0.1272        | 4.0   | 22152  | 0.1276          | 0.8652   | 0.9247      | 0.9367   | 0.8655            |
+| 0.1266        | 5.0   | 27690  | 0.1256          | 0.8685   | 0.9252      | 0.9345   | 0.8724            |
+| 0.1284        | 6.0   | 33228  | 0.1264          | 0.8668   | 0.9252      | 0.9345   | 0.8724            |
+| 0.1272        | 7.0   | 38766  | 0.1247          | 0.8739   | 0.9313      | 0.9379   | 0.8748            |
+| 0.1262        | 8.0   | 44304  | 0.1258          | 0.8892   | 0.9246      | 0.9366   | 0.9024            |
+| 0.1263        | 9.0   | 49842  | 0.1251          | 0.9038   | 0.9310      | 0.9378   | 0.9041            |
+| 0.1267        | 10.0  | 55380  | 0.1244          | 0.8897   | 0.9253      | 0.9345   | 0.9018            |
+| 0.1271        | 11.0  | 60918  | 0.1251          | 0.8951   | 0.9325      | 0.9371   | 0.9036            |
+| 0.1268        | 12.0  | 66456  | 0.1248          | 0.8944   | 0.9315      | 0.9380   | 0.9042            |
+| 0.1254        | 13.0  | 71994  | 0.1247          | 0.9038   | 0.9314      | 0.9381   | 0.9043            |
+| 0.126         | 14.0  | 77532  | 0.1263          | 0.8944   | 0.9314      | 0.9379   | 0.9042            |
+| 0.1261        | 15.0  | 83070  | 0.1274          | 0.8891   | 0.9250      | 0.9348   | 0.9020            |
+| 0.1253        | 16.0  | 88608  | 0.1241          | 0.8944   | 0.9315      | 0.9380   | 0.9042            |
+| 0.1251        | 17.0  | 94146  | 0.1244          | 0.9042   | 0.9314      | 0.9380   | 0.9042            |
+| 0.125         | 18.0  | 99684  | 0.1249          | 0.9041   | 0.9314      | 0.9380   | 0.9043            |
+| 0.125         | 19.0  | 105222 | 0.1245          | 0.8942   | 0.9312      | 0.9380   | 0.9042            |
+| 0.1257        | 20.0  | 110760 | 0.1248          | 0.9041   | 0.9313      | 0.9379   | 0.9042            |
+| 0.125         | 21.0  | 116298 | 0.1248          | 0.9000   | 0.9254      | 0.9344   | 0.9018            |
+| 0.1248        | 22.0  | 121836 | 0.1244          | 0.9041   | 0.9313      | 0.9379   | 0.9042            |
+| 0.1246        | 23.0  | 127374 | 0.1245          | 0.9042   | 0.9315      | 0.9380   | 0.9042            |
+| 0.1247        | 24.0  | 132912 | 0.1242          | 0.8943   | 0.9314      | 0.9380   | 0.9043            |
+| 0.1245        | 25.0  | 138450 | 0.1242          | 0.9042   | 0.9315      | 0.9380   | 0.9042            |
+| 0.1245        | 26.0  | 143988 | 0.1245          | 0.9042   | 0.9314      | 0.9381   | 0.9043            |
+| 0.1245        | 27.0  | 149526 | 0.1242          | 0.8944   | 0.9314      | 0.9381   | 0.9043            |
+| 0.1244        | 28.0  | 155064 | 0.1242          | 0.9336   | 0.9315      | 0.9381   | 0.9337            |
+| 0.1243        | 29.0  | 160602 | 0.1243          | 0.8944   | 0.9314      | 0.9381   | 0.9043            |
+| 0.1243        | 30.0  | 166140 | 0.1243          | 0.8944   | 0.9314      | 0.9381   | 0.9043            |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "google-bert/bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "ARSON",
+    "1": "ASSAULT",
+    "2": "BATTERY",
+    "3": "BURGLARY",
+    "4": "CONCEALED CARRY LICENSE VIOLATION",
+    "5": "CRIM SEXUAL ASSAULT",
+    "6": "CRIMINAL DAMAGE",
+    "7": "CRIMINAL TRESPASS",
+    "8": "DECEPTIVE PRACTICE",
+    "9": "DOMESTIC VIOLENCE",
+    "10": "GAMBLING",
+    "11": "HOMICIDE",
+    "12": "HUMAN TRAFFICKING",
+    "13": "INTERFERENCE WITH PUBLIC OFFICER",
+    "14": "INTIMIDATION",
+    "15": "KIDNAPPING",
+    "16": "LIQUOR LAW VIOLATION",
+    "17": "MOTOR VEHICLE THEFT",
+    "18": "NARCOTICS",
+    "19": "NON-CRIMINAL",
+    "20": "NON-CRIMINAL (SUBJECT SPECIFIED)",
+    "21": "OBSCENITY",
+    "22": "OFFENSE INVOLVING CHILDREN",
+    "23": "OTHER NARCOTIC VIOLATION",
+    "24": "OTHER OFFENSE",
+    "25": "PROSTITUTION",
+    "26": "PUBLIC INDECENCY",
+    "27": "PUBLIC PEACE VIOLATION",
+    "28": "RITUALISM",
+    "29": "ROBBERY",
+    "30": "SEX OFFENSE",
+    "31": "STALKING",
+    "32": "THEFT",
+    "33": "WEAPONS VIOLATION"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "ARSON": 0,
+    "ASSAULT": 1,
+    "BATTERY": 2,
+    "BURGLARY": 3,
+    "CONCEALED CARRY LICENSE VIOLATION": 4,
+    "CRIM SEXUAL ASSAULT": 5,
+    "CRIMINAL DAMAGE": 6,
+    "CRIMINAL TRESPASS": 7,
+    "DECEPTIVE PRACTICE": 8,
+    "DOMESTIC VIOLENCE": 9,
+    "GAMBLING": 10,
+    "HOMICIDE": 11,
+    "HUMAN TRAFFICKING": 12,
+    "INTERFERENCE WITH PUBLIC OFFICER": 13,
+    "INTIMIDATION": 14,
+    "KIDNAPPING": 15,
+    "LIQUOR LAW VIOLATION": 16,
+    "MOTOR VEHICLE THEFT": 17,
+    "NARCOTICS": 18,
+    "NON-CRIMINAL": 19,
+    "NON-CRIMINAL (SUBJECT SPECIFIED)": 20,
+    "OBSCENITY": 21,
+    "OFFENSE INVOLVING CHILDREN": 22,
+    "OTHER NARCOTIC VIOLATION": 23,
+    "OTHER OFFENSE": 24,
+    "PROSTITUTION": 25,
+    "PUBLIC INDECENCY": 26,
+    "PUBLIC PEACE VIOLATION": 27,
+    "RITUALISM": 28,
+    "ROBBERY": 29,
+    "SEX OFFENSE": 30,
+    "STALKING": 31,
+    "THEFT": 32,
+    "WEAPONS VIOLATION": 33
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+oid sha256:e4cf01dcebeb8260213d2648b5fc532c77bd5ad74689da1280c43cebc06c838c
+size 438057080

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": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+oid sha256:f55db632f996074ad22675fe3d18994b78d082ad14e33de18dbe17da52c452a4
+size 4856