Add new SentenceTransformer model
Browse files- 1_Pooling/config.json +10 -0
- README.md +0 -0
- config.json +265 -0
- config_sentence_transformers.json +10 -0
- model.safetensors +3 -0
- modules.json +14 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +952 -0
1_Pooling/config.json
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{
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"word_embedding_dimension": 768,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
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config.json
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| 1 |
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{
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| 2 |
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"_name_or_path": "tasksource/ModernBERT-base-nli",
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| 3 |
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"architectures": [
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| 4 |
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"ModernBertModel"
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| 5 |
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],
|
| 6 |
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"attention_bias": false,
|
| 7 |
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"attention_dropout": 0.0,
|
| 8 |
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"bos_token_id": 50281,
|
| 9 |
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"classifier_activation": "gelu",
|
| 10 |
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"classifier_bias": false,
|
| 11 |
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"classifier_dropout": 0.0,
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| 12 |
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"classifier_pooling": "mean",
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| 13 |
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"classifiers_size": [
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3,
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2,
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],
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"cls_token_id": 50281,
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| 118 |
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"decoder_bias": true,
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| 119 |
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"deterministic_flash_attn": false,
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| 120 |
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"embedding_dropout": 0.0,
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| 121 |
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"eos_token_id": 50282,
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| 122 |
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"global_attn_every_n_layers": 3,
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| 123 |
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"global_rope_theta": 160000.0,
|
| 124 |
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"gradient_checkpointing": false,
|
| 125 |
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"hidden_activation": "gelu",
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| 126 |
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"hidden_size": 768,
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| 127 |
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"id2label": {
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| 128 |
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"0": "entailment",
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| 129 |
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"1": "neutral",
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"2": "contradiction"
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},
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| 132 |
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"initializer_cutoff_factor": 2.0,
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| 133 |
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"initializer_range": 0.02,
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| 134 |
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"intermediate_size": 1152,
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| 135 |
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"label2id": {
|
| 136 |
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"contradiction": 2,
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| 137 |
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"entailment": 0,
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| 138 |
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"neutral": 1
|
| 139 |
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},
|
| 140 |
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"layer_norm_eps": 1e-05,
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| 141 |
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"local_attention": 128,
|
| 142 |
+
"local_rope_theta": 10000.0,
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| 143 |
+
"max_position_embeddings": 2048,
|
| 144 |
+
"mlp_bias": false,
|
| 145 |
+
"mlp_dropout": 0.0,
|
| 146 |
+
"model_type": "modernbert",
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| 147 |
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"norm_bias": false,
|
| 148 |
+
"norm_eps": 1e-05,
|
| 149 |
+
"num_attention_heads": 12,
|
| 150 |
+
"num_hidden_layers": 22,
|
| 151 |
+
"pad_token_id": 50283,
|
| 152 |
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"position_embedding_type": "absolute",
|
| 153 |
+
"problem_type": "single_label_classification",
|
| 154 |
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"reference_compile": true,
|
| 155 |
+
"sep_token_id": 50282,
|
| 156 |
+
"sparse_pred_ignore_index": -100,
|
| 157 |
+
"sparse_prediction": false,
|
| 158 |
+
"tasks": [
|
| 159 |
+
"glue/mnli",
|
| 160 |
+
"glue/qnli",
|
| 161 |
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"glue/rte",
|
| 162 |
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"glue/wnli",
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| 163 |
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"super_glue/cb",
|
| 164 |
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"anli/a1",
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| 165 |
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"anli/a2",
|
| 166 |
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"anli/a3",
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| 167 |
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"sick/label",
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| 168 |
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"sick/entailment_AB",
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| 169 |
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"snli",
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| 170 |
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"scitail/snli_format",
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| 171 |
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"hans",
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| 172 |
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"WANLI",
|
| 173 |
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"recast/recast_sentiment",
|
| 174 |
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"recast/recast_verbcorner",
|
| 175 |
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"recast/recast_ner",
|
| 176 |
+
"recast/recast_factuality",
|
| 177 |
+
"recast/recast_puns",
|
| 178 |
+
"recast/recast_kg_relations",
|
| 179 |
+
"recast/recast_verbnet",
|
| 180 |
+
"recast/recast_megaveridicality",
|
| 181 |
+
"probability_words_nli/usnli",
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| 182 |
+
"probability_words_nli/reasoning_1hop",
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| 183 |
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"probability_words_nli/reasoning_2hop",
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| 184 |
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"nan-nli",
|
| 185 |
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"nli_fever",
|
| 186 |
+
"breaking_nli",
|
| 187 |
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"conj_nli",
|
| 188 |
+
"fracas",
|
| 189 |
+
"dialogue_nli",
|
| 190 |
+
"mpe",
|
| 191 |
+
"dnc",
|
| 192 |
+
"recast_white/fnplus",
|
| 193 |
+
"recast_white/sprl",
|
| 194 |
+
"recast_white/dpr",
|
| 195 |
+
"robust_nli/IS_CS",
|
| 196 |
+
"robust_nli/LI_LI",
|
| 197 |
+
"robust_nli/ST_WO",
|
| 198 |
+
"robust_nli/PI_SP",
|
| 199 |
+
"robust_nli/PI_CD",
|
| 200 |
+
"robust_nli/ST_SE",
|
| 201 |
+
"robust_nli/ST_NE",
|
| 202 |
+
"robust_nli/ST_LM",
|
| 203 |
+
"robust_nli_is_sd",
|
| 204 |
+
"robust_nli_li_ts",
|
| 205 |
+
"add_one_rte",
|
| 206 |
+
"cycic_classification",
|
| 207 |
+
"lingnli",
|
| 208 |
+
"monotonicity-entailment",
|
| 209 |
+
"scinli",
|
| 210 |
+
"naturallogic",
|
| 211 |
+
"syntactic-augmentation-nli",
|
| 212 |
+
"autotnli",
|
| 213 |
+
"defeasible-nli/atomic",
|
| 214 |
+
"defeasible-nli/snli",
|
| 215 |
+
"help-nli",
|
| 216 |
+
"nli-veridicality-transitivity",
|
| 217 |
+
"lonli",
|
| 218 |
+
"dadc-limit-nli",
|
| 219 |
+
"folio",
|
| 220 |
+
"tomi-nli",
|
| 221 |
+
"temporal-nli",
|
| 222 |
+
"counterfactually-augmented-snli",
|
| 223 |
+
"cnli",
|
| 224 |
+
"chaos-mnli-ambiguity",
|
| 225 |
+
"logiqa-2.0-nli",
|
| 226 |
+
"mindgames",
|
| 227 |
+
"ConTRoL-nli",
|
| 228 |
+
"logical-fallacy",
|
| 229 |
+
"conceptrules_v2",
|
| 230 |
+
"zero-shot-label-nli",
|
| 231 |
+
"scone",
|
| 232 |
+
"monli",
|
| 233 |
+
"SpaceNLI",
|
| 234 |
+
"propsegment/nli",
|
| 235 |
+
"SDOH-NLI",
|
| 236 |
+
"scifact_entailment",
|
| 237 |
+
"AdjectiveScaleProbe-nli",
|
| 238 |
+
"resnli",
|
| 239 |
+
"semantic_fragments_nli",
|
| 240 |
+
"dataset_train_nli",
|
| 241 |
+
"ruletaker",
|
| 242 |
+
"PARARULE-Plus",
|
| 243 |
+
"logical-entailment",
|
| 244 |
+
"nope",
|
| 245 |
+
"LogicNLI",
|
| 246 |
+
"contract-nli/contractnli_a/seg",
|
| 247 |
+
"contract-nli/contractnli_b/full",
|
| 248 |
+
"nli4ct_semeval2024",
|
| 249 |
+
"biosift-nli",
|
| 250 |
+
"SIGA-nli",
|
| 251 |
+
"FOL-nli",
|
| 252 |
+
"doc-nli",
|
| 253 |
+
"mctest-nli",
|
| 254 |
+
"idioms-nli",
|
| 255 |
+
"lifecycle-entailment",
|
| 256 |
+
"MSciNLI",
|
| 257 |
+
"hover-3way/nli",
|
| 258 |
+
"seahorse_summarization_evaluation",
|
| 259 |
+
"babi_nli",
|
| 260 |
+
"gen_debiased_nli"
|
| 261 |
+
],
|
| 262 |
+
"torch_dtype": "float32",
|
| 263 |
+
"transformers_version": "4.48.0.dev0",
|
| 264 |
+
"vocab_size": 50368
|
| 265 |
+
}
|
config_sentence_transformers.json
ADDED
|
@@ -0,0 +1,10 @@
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| 1 |
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{
|
| 2 |
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"__version__": {
|
| 3 |
+
"sentence_transformers": "3.3.1",
|
| 4 |
+
"transformers": "4.48.0.dev0",
|
| 5 |
+
"pytorch": "2.5.1+cu124"
|
| 6 |
+
},
|
| 7 |
+
"prompts": {},
|
| 8 |
+
"default_prompt_name": null,
|
| 9 |
+
"similarity_fn_name": "cosine"
|
| 10 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5547ced3b53bbcc95603f0db232ef3676c16e2a797b916a40b22e101a24e4906
|
| 3 |
+
size 596070136
|
modules.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"idx": 0,
|
| 4 |
+
"name": "0",
|
| 5 |
+
"path": "",
|
| 6 |
+
"type": "sentence_transformers.models.Transformer"
|
| 7 |
+
},
|
| 8 |
+
{
|
| 9 |
+
"idx": 1,
|
| 10 |
+
"name": "1",
|
| 11 |
+
"path": "1_Pooling",
|
| 12 |
+
"type": "sentence_transformers.models.Pooling"
|
| 13 |
+
}
|
| 14 |
+
]
|
sentence_bert_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"max_seq_length": 2048,
|
| 3 |
+
"do_lower_case": false
|
| 4 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
|
|
|
| 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": true,
|
| 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 +1,952 @@
|
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| 1 |
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| 2 |
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| 3 |
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| 18 |
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