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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - xshubhamx/InLegalBERT
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+ - xshubhamx/legal-bert-base-uncased
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+ ---
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+
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+ # InLegalDIFF-InLegal-legal-merge-ties-d-053-w-050
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+
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+ InLegalDIFF-InLegal-legal-merge-ties-d-053-w-050 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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+ * [xshubhamx/InLegalBERT](https://huggingface.co/xshubhamx/InLegalBERT)
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+ * [xshubhamx/legal-bert-base-uncased](https://huggingface.co/xshubhamx/legal-bert-base-uncased)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ models:
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+ - model: xshubhamx/InLegalBERT
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+ parameters:
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+ density: 0.53
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+ weight: 0.5
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+ - model: xshubhamx/legal-bert-base-uncased
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+ parameters:
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+ density: 0.53
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+ weight: 0.5
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+ merge_method: ties
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+ base_model: PoptropicaSahil/InLegalBERT-finetuned
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
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+
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "PoptropicaSahil/InLegalBERT-finetuned",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_ids": 0,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.38.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }
mergekit_config.yml ADDED
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+
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+ models:
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+ - model: xshubhamx/InLegalBERT
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+ parameters:
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+ density: 0.53
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+ weight: 0.5
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+ - model: xshubhamx/legal-bert-base-uncased
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+ parameters:
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+ density: 0.53
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+ weight: 0.5
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+ merge_method: ties
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+ base_model: PoptropicaSahil/InLegalBERT-finetuned
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
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+
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tokenizer_config.json ADDED
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1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
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+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_basic_tokenize": true,
47
+ "do_lower_case": true,
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "never_split": null,
51
+ "pad_token": "[PAD]",
52
+ "sep_token": "[SEP]",
53
+ "strip_accents": null,
54
+ "tokenize_chinese_chars": true,
55
+ "tokenizer_class": "BertTokenizer",
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+ "unk_token": "[UNK]"
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+ }
vocab.txt ADDED
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