xshubhamx commited on
Commit
4e80c84
1 Parent(s): 86cc83f

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - merge
5
+ - mergekit
6
+ - lazymergekit
7
+ - xshubhamx/InLegalBERT
8
+ - xshubhamx/legal-bert-base-uncased
9
+ ---
10
+
11
+ # InLegal-legal-merge-ties
12
+
13
+ InLegal-legal-merge-ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
14
+ * [xshubhamx/InLegalBERT](https://huggingface.co/xshubhamx/InLegalBERT)
15
+ * [xshubhamx/legal-bert-base-uncased](https://huggingface.co/xshubhamx/legal-bert-base-uncased)
16
+
17
+ ## 🧩 Configuration
18
+
19
+ ```yaml
20
+ models:
21
+ - model: xshubhamx/InLegalBERT
22
+ parameters:
23
+ density: 1
24
+ weight: 1
25
+ - model: xshubhamx/legal-bert-base-uncased
26
+ parameters:
27
+ density: 1
28
+ weight: 1
29
+
30
+ merge_method: ties
31
+ base_model: xshubhamx/InLegalBERT
32
+ parameters:
33
+ normalize: false
34
+ int8_mask: true
35
+ dtype: float16
36
+
37
+ ```
config.json ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "xshubhamx/InLegalBERT",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_ids": 0,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "id2label": {
14
+ "0": "Issue",
15
+ "1": "Court Discourse",
16
+ "2": "Conclusion",
17
+ "3": "Precedent Analysis",
18
+ "4": "Section Analysis",
19
+ "5": "Argument by Petitioner",
20
+ "6": "Fact",
21
+ "7": "Argument by Respondent",
22
+ "8": "Ratio",
23
+ "9": "Appellant",
24
+ "10": "Respondent",
25
+ "11": "Argument by Appellant",
26
+ "12": "Petitioner",
27
+ "13": "Judge",
28
+ "14": "Argument by Defendant"
29
+ },
30
+ "initializer_range": 0.02,
31
+ "intermediate_size": 3072,
32
+ "label2id": {
33
+ "Appellant": 9,
34
+ "Argument by Appellant": 11,
35
+ "Argument by Defendant": 14,
36
+ "Argument by Petitioner": 5,
37
+ "Argument by Respondent": 7,
38
+ "Conclusion": 2,
39
+ "Court Discourse": 1,
40
+ "Fact": 6,
41
+ "Issue": 0,
42
+ "Judge": 13,
43
+ "Petitioner": 12,
44
+ "Precedent Analysis": 3,
45
+ "Ratio": 8,
46
+ "Respondent": 10,
47
+ "Section Analysis": 4
48
+ },
49
+ "layer_norm_eps": 1e-12,
50
+ "max_position_embeddings": 512,
51
+ "model_type": "bert",
52
+ "num_attention_heads": 12,
53
+ "num_hidden_layers": 12,
54
+ "output_past": true,
55
+ "pad_token_id": 0,
56
+ "position_embedding_type": "absolute",
57
+ "problem_type": "single_label_classification",
58
+ "torch_dtype": "float16",
59
+ "transformers_version": "4.35.2",
60
+ "type_vocab_size": 2,
61
+ "use_cache": true,
62
+ "vocab_size": 30522
63
+ }
mergekit_config.yml ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ models:
3
+ - model: xshubhamx/InLegalBERT
4
+ parameters:
5
+ density: 1
6
+ weight: 1
7
+ - model: xshubhamx/legal-bert-base-uncased
8
+ parameters:
9
+ density: 1
10
+ weight: 1
11
+
12
+ merge_method: ties
13
+ base_model: xshubhamx/InLegalBERT
14
+ parameters:
15
+ normalize: false
16
+ int8_mask: true
17
+ dtype: float16
18
+
model-00001-of-00001.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b0eead259f3763964f44bdd8d468aa50920a16d603ced4906fd6295314cbda30
3
+ size 219010966
model.safetensors.index.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"metadata": {"mergekit_version": "0.0.4.2", "total_size": 218987550}, "weight_map": {"classifier.weight": "model-00001-of-00001.safetensors", "classifier.bias": "model-00001-of-00001.safetensors", "bert.pooler.dense.bias": "model-00001-of-00001.safetensors", "bert.pooler.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.intermediate.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.intermediate.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.attention.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.attention.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.attention.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.attention.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.attention.self.value.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.attention.self.value.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.attention.self.key.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.attention.self.key.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.attention.self.query.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.11.attention.self.query.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.intermediate.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.intermediate.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.attention.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.attention.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.attention.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.attention.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.attention.self.value.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.attention.self.value.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.attention.self.key.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.attention.self.key.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.attention.self.query.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.10.attention.self.query.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.intermediate.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.intermediate.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.attention.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.attention.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.attention.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.attention.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.attention.self.value.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.attention.self.value.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.attention.self.key.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.attention.self.key.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.attention.self.query.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.9.attention.self.query.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.intermediate.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.intermediate.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.attention.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.attention.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.attention.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.attention.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.attention.self.value.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.attention.self.value.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.attention.self.key.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.attention.self.key.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.attention.self.query.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.8.attention.self.query.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.intermediate.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.intermediate.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.attention.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.attention.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.attention.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.attention.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.attention.self.value.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.attention.self.value.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.attention.self.key.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.attention.self.key.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.attention.self.query.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.7.attention.self.query.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.intermediate.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.intermediate.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.attention.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.attention.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.attention.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.attention.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.attention.self.value.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.attention.self.value.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.attention.self.key.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.attention.self.key.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.attention.self.query.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.6.attention.self.query.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.intermediate.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.intermediate.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.attention.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.attention.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.attention.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.attention.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.attention.self.value.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.attention.self.value.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.attention.self.key.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.attention.self.key.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.attention.self.query.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.5.attention.self.query.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.intermediate.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.intermediate.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.attention.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.attention.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.attention.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.attention.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.attention.self.value.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.attention.self.value.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.attention.self.key.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.attention.self.key.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.attention.self.query.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.4.attention.self.query.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.intermediate.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.intermediate.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.attention.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.attention.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.attention.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.attention.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.attention.self.value.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.attention.self.value.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.attention.self.key.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.attention.self.key.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.attention.self.query.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.3.attention.self.query.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.intermediate.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.intermediate.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.attention.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.attention.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.attention.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.attention.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.attention.self.value.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.attention.self.value.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.attention.self.key.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.attention.self.key.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.attention.self.query.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.2.attention.self.query.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.intermediate.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.intermediate.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.attention.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.attention.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.attention.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.attention.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.attention.self.value.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.attention.self.value.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.attention.self.key.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.attention.self.key.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.attention.self.query.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.1.attention.self.query.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.intermediate.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.intermediate.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.attention.output.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.attention.output.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.attention.output.dense.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.attention.output.dense.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.attention.self.value.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.attention.self.value.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.attention.self.key.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.attention.self.key.weight": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.attention.self.query.bias": "model-00001-of-00001.safetensors", "bert.encoder.layer.0.attention.self.query.weight": "model-00001-of-00001.safetensors", "bert.embeddings.LayerNorm.weight": "model-00001-of-00001.safetensors", "bert.embeddings.LayerNorm.bias": "model-00001-of-00001.safetensors", "bert.embeddings.word_embeddings.weight": "model-00001-of-00001.safetensors", "bert.embeddings.token_type_embeddings.weight": "model-00001-of-00001.safetensors", "bert.embeddings.position_embeddings.weight": "model-00001-of-00001.safetensors"}}
special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "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
+ "max_length": 512,
50
+ "model_max_length": 512,
51
+ "never_split": null,
52
+ "pad_to_multiple_of": null,
53
+ "pad_token": "[PAD]",
54
+ "pad_token_type_id": 0,
55
+ "padding_side": "right",
56
+ "sep_token": "[SEP]",
57
+ "stride": 0,
58
+ "strip_accents": null,
59
+ "tokenize_chinese_chars": true,
60
+ "tokenizer_class": "BertTokenizer",
61
+ "truncation_side": "right",
62
+ "truncation_strategy": "longest_first",
63
+ "unk_token": "[UNK]"
64
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff