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README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- xshubhamx/InLegalBERT
+- xshubhamx/legal-bert-base-uncased
+---
+
+# UNTRAINED-InLegal-InLegal-legal-merge-ties-d-053-w-050
+
+UNTRAINED-InLegal-InLegal-legal-merge-ties-d-053-w-050 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [xshubhamx/InLegalBERT](https://huggingface.co/xshubhamx/InLegalBERT)
+* [xshubhamx/legal-bert-base-uncased](https://huggingface.co/xshubhamx/legal-bert-base-uncased)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: xshubhamx/InLegalBERT
+    parameters:
+      density: 0.53
+      weight: 0.5
+  - model: xshubhamx/legal-bert-base-uncased
+    parameters:
+      density: 0.53
+      weight: 0.5
+merge_method: ties
+base_model: xshubhamx/REAL-InLegalBERT
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16
+
+```

added_tokens.json

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+{
+  "<pad>": 30522
+}

config.json

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+{
+  "_name_or_path": "xshubhamx/REAL-InLegalBERT",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_ids": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Issue",
+    "1": "Court Discourse",
+    "2": "Conclusion",
+    "3": "Precedent Analysis",
+    "4": "Section Analysis",
+    "5": "Argument by Petitioner",
+    "6": "Fact",
+    "7": "Argument by Respondent",
+    "8": "Ratio",
+    "9": "Appellant",
+    "10": "Respondent",
+    "11": "Argument by Appellant",
+    "12": "Petitioner",
+    "13": "Judge",
+    "14": "Argument by Defendant"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Appellant": 9,
+    "Argument by Appellant": 11,
+    "Argument by Defendant": 14,
+    "Argument by Petitioner": 5,
+    "Argument by Respondent": 7,
+    "Conclusion": 2,
+    "Court Discourse": 1,
+    "Fact": 6,
+    "Issue": 0,
+    "Judge": 13,
+    "Petitioner": 12,
+    "Precedent Analysis": 3,
+    "Ratio": 8,
+    "Respondent": 10,
+    "Section Analysis": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 30522,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30523
+}

mergekit_config.yml

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+
+models:
+  - model: xshubhamx/InLegalBERT
+    parameters:
+      density: 0.53
+      weight: 0.5
+  - model: xshubhamx/legal-bert-base-uncased
+    parameters:
+      density: 0.53
+      weight: 0.5
+merge_method: ties
+base_model: xshubhamx/REAL-InLegalBERT
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16
+

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+    }
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+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "max_length": 512,
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_to_multiple_of": null,
+  "pad_token": "<pad>",
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+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}