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README.md

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+
+---
+tags:
+- autotrain
+- token-classification
+base_model: distilbert/distilbert-base-uncased
+widget:
+- text: "I love AutoTrain"
+datasets:
+- disham993/ElectricalNER
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Token Classification
+
+## Validation Metrics
+No validation metrics available

config.json

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+{
+  "_name_or_path": "distilbert/distilbert-base-uncased",
+  "_num_labels": 19,
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForTokenClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "O",
+    "1": "B-COMPONENT",
+    "2": "I-COMPONENT",
+    "3": "B-DESIGN_PARAM",
+    "4": "I-DESIGN_PARAM",
+    "5": "B-MATERIAL",
+    "6": "I-MATERIAL",
+    "7": "B-EQUIPMENT",
+    "8": "I-EQUIPMENT",
+    "9": "B-TECHNOLOGY",
+    "10": "I-TECHNOLOGY",
+    "11": "B-SOFTWARE",
+    "12": "I-SOFTWARE",
+    "13": "B-STANDARD",
+    "14": "I-STANDARD",
+    "15": "B-VENDOR",
+    "16": "I-VENDOR",
+    "17": "B-PRODUCT",
+    "18": "I-PRODUCT"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "B-COMPONENT": 1,
+    "B-DESIGN_PARAM": 3,
+    "B-EQUIPMENT": 7,
+    "B-MATERIAL": 5,
+    "B-PRODUCT": 17,
+    "B-SOFTWARE": 11,
+    "B-STANDARD": 13,
+    "B-TECHNOLOGY": 9,
+    "B-VENDOR": 15,
+    "I-COMPONENT": 2,
+    "I-DESIGN_PARAM": 4,
+    "I-EQUIPMENT": 8,
+    "I-MATERIAL": 6,
+    "I-PRODUCT": 18,
+    "I-SOFTWARE": 12,
+    "I-STANDARD": 14,
+    "I-TECHNOLOGY": 10,
+    "I-VENDOR": 16,
+    "O": 0
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1",
+  "vocab_size": 30522
+}

model.safetensors

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+size 265522308

runs/Dec29_12-47-41_1cb62388f39c/events.out.tfevents.1735476465.1cb62388f39c.246.0

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-size 41276
+oid sha256:492ff08216ea3e7d7405de1056d729a61ac279e3d24a00bf9c0b0c430c2db7b7
+size 44373

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": 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 5304

training_params.json

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+{
+    "data_path": "disham993/ElectricalNER",
+    "model": "distilbert/distilbert-base-uncased",
+    "lr": 5e-05,
+    "epochs": 3,
+    "max_seq_length": 128,
+    "batch_size": 8,
+    "warmup_ratio": 0.1,
+    "gradient_accumulation": 1,
+    "optimizer": "adamw_torch",
+    "scheduler": "linear",
+    "weight_decay": 0.0,
+    "max_grad_norm": 1.0,
+    "seed": 42,
+    "train_split": "train",
+    "valid_split": null,
+    "tokens_column": "tokens",
+    "tags_column": "ner_tags",
+    "logging_steps": -1,
+    "project_name": "bert-electrical-ner",
+    "auto_find_batch_size": false,
+    "mixed_precision": "fp16",
+    "save_total_limit": 1,
+    "push_to_hub": true,
+    "eval_strategy": "epoch",
+    "username": "yasserrmd",
+    "log": "tensorboard",
+    "early_stopping_patience": 5,
+    "early_stopping_threshold": 0.01
+}