Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
feature-extraction
Generated from Trainer
dataset_size:6661966
loss:MultipleNegativesRankingLoss
loss:CachedMultipleNegativesRankingLoss
loss:SoftmaxLoss
loss:AnglELoss
loss:CoSENTLoss
loss:CosineSimilarityLoss
Inference Endpoints
Add new SentenceTransformer model
Browse files- README.md +0 -0
- config.json +2 -233
- model.safetensors +1 -1
- sentence_bert_config.json +1 -1
- tokenizer.json +1 -1
- tokenizer_config.json +0 -7
README.md
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config.json
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@@ -1,5 +1,5 @@
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{
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-
"_name_or_path": "
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"architectures": [
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"ModernBertModel"
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],
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"classifier_bias": false,
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"classifier_dropout": 0.0,
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"classifier_pooling": "mean",
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"classifiers_size": [
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],
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"cls_token_id": 50281,
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"decoder_bias": true,
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"deterministic_flash_attn": false,
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"gradient_checkpointing": false,
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"hidden_activation": "gelu",
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"hidden_size": 768,
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"id2label": {
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"0": "entailment",
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"1": "neutral",
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"2": "contradiction"
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},
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"initializer_cutoff_factor": 2.0,
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"initializer_range": 0.02,
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"intermediate_size": 1152,
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"label2id": {
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"contradiction": 2,
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"entailment": 0,
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"neutral": 1
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},
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"layer_norm_eps": 1e-05,
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"local_attention": 128,
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"local_rope_theta": 10000.0,
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"max_position_embeddings":
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"mlp_bias": false,
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"mlp_dropout": 0.0,
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"model_type": "modernbert",
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"num_hidden_layers": 22,
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"pad_token_id": 50283,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"reference_compile": true,
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"sep_token_id": 50282,
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"sparse_pred_ignore_index": -100,
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"sparse_prediction": false,
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"tasks": [
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"glue/mnli",
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"glue/qnli",
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"glue/rte",
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"glue/wnli",
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"super_glue/boolq",
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"super_glue/cb",
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"anli/a1",
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"anli/a2",
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"anli/a3",
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"sick/label",
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"sick/entailment_AB",
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"snli",
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"scitail/snli_format",
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"hans",
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"WANLI",
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"recast/recast_sentiment",
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"recast/recast_verbcorner",
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"recast/recast_ner",
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"recast/recast_factuality",
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"recast/recast_puns",
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"recast/recast_kg_relations",
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"recast/recast_verbnet",
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"recast/recast_megaveridicality",
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"probability_words_nli/usnli",
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"probability_words_nli/reasoning_1hop",
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"probability_words_nli/reasoning_2hop",
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"nan-nli",
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"nli_fever",
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"breaking_nli",
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"conj_nli",
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"fracas",
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"dialogue_nli",
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"mpe",
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"dnc",
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"recast_white/fnplus",
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"recast_white/sprl",
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"recast_white/dpr",
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"robust_nli/IS_CS",
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"robust_nli/LI_LI",
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"robust_nli/ST_WO",
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"robust_nli/PI_SP",
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"robust_nli/PI_CD",
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"robust_nli/ST_SE",
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"robust_nli/ST_NE",
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"robust_nli/ST_LM",
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"robust_nli_is_sd",
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"robust_nli_li_ts",
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"add_one_rte",
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"cycic_classification",
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"lingnli",
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"monotonicity-entailment",
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"scinli",
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"naturallogic",
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"syntactic-augmentation-nli",
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"autotnli",
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"defeasible-nli/atomic",
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"defeasible-nli/snli",
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"help-nli",
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"nli-veridicality-transitivity",
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"lonli",
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"dadc-limit-nli",
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"folio",
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"tomi-nli",
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"puzzte",
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"temporal-nli",
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"counterfactually-augmented-snli",
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"cnli",
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"boolq-natural-perturbations",
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"equate",
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"chaos-mnli-ambiguity",
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"logiqa-2.0-nli",
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"mindgames",
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"ConTRoL-nli",
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"logical-fallacy",
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"conceptrules_v2",
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"zero-shot-label-nli",
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"scone",
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"monli",
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"SpaceNLI",
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"propsegment/nli",
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"SDOH-NLI",
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"scifact_entailment",
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"AdjectiveScaleProbe-nli",
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"resnli",
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"semantic_fragments_nli",
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"dataset_train_nli",
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"nlgraph",
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"ruletaker",
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"PARARULE-Plus",
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"logical-entailment",
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"nope",
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"LogicNLI",
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"contract-nli/contractnli_a/seg",
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"contract-nli/contractnli_b/full",
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"nli4ct_semeval2024",
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"biosift-nli",
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"SIGA-nli",
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"FOL-nli",
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"doc-nli",
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"mctest-nli",
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"natural-language-satisfiability",
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"idioms-nli",
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"lifecycle-entailment",
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"MSciNLI",
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"hover-3way/nli",
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"seahorse_summarization_evaluation",
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"babi_nli",
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"gen_debiased_nli"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.48.0.dev0",
|
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"vocab_size": 50368
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{
|
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+
"_name_or_path": "answerdotai/ModernBERT-base",
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"architectures": [
|
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"ModernBertModel"
|
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],
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|
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"classifier_bias": false,
|
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"classifier_dropout": 0.0,
|
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"classifier_pooling": "mean",
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"cls_token_id": 50281,
|
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"decoder_bias": true,
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"deterministic_flash_attn": false,
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|
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"gradient_checkpointing": false,
|
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"hidden_activation": "gelu",
|
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"hidden_size": 768,
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|
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"initializer_cutoff_factor": 2.0,
|
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"initializer_range": 0.02,
|
25 |
"intermediate_size": 1152,
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"layer_norm_eps": 1e-05,
|
27 |
"local_attention": 128,
|
28 |
"local_rope_theta": 10000.0,
|
29 |
+
"max_position_embeddings": 8192,
|
30 |
"mlp_bias": false,
|
31 |
"mlp_dropout": 0.0,
|
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"model_type": "modernbert",
|
|
|
36 |
"num_hidden_layers": 22,
|
37 |
"pad_token_id": 50283,
|
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"position_embedding_type": "absolute",
|
|
|
39 |
"reference_compile": true,
|
40 |
"sep_token_id": 50282,
|
41 |
"sparse_pred_ignore_index": -100,
|
42 |
"sparse_prediction": false,
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|
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"torch_dtype": "float32",
|
44 |
"transformers_version": "4.48.0.dev0",
|
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"vocab_size": 50368
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model.safetensors
CHANGED
@@ -1,3 +1,3 @@
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|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 596070136
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b6027ea97411457d92dc3a5048481e4fa6859dbaeda6ac805307229298cecbd9
|
3 |
size 596070136
|
sentence_bert_config.json
CHANGED
@@ -1,4 +1,4 @@
|
|
1 |
{
|
2 |
-
"max_seq_length":
|
3 |
"do_lower_case": false
|
4 |
}
|
|
|
1 |
{
|
2 |
+
"max_seq_length": 8192,
|
3 |
"do_lower_case": false
|
4 |
}
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tokenizer.json
CHANGED
@@ -2,7 +2,7 @@
|
|
2 |
"version": "1.0",
|
3 |
"truncation": {
|
4 |
"direction": "Right",
|
5 |
-
"max_length":
|
6 |
"strategy": "LongestFirst",
|
7 |
"stride": 0
|
8 |
},
|
|
|
2 |
"version": "1.0",
|
3 |
"truncation": {
|
4 |
"direction": "Right",
|
5 |
+
"max_length": 8192,
|
6 |
"strategy": "LongestFirst",
|
7 |
"stride": 0
|
8 |
},
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tokenizer_config.json
CHANGED
@@ -933,20 +933,13 @@
|
|
933 |
"cls_token": "[CLS]",
|
934 |
"extra_special_tokens": {},
|
935 |
"mask_token": "[MASK]",
|
936 |
-
"max_length": 2048,
|
937 |
"model_input_names": [
|
938 |
"input_ids",
|
939 |
"attention_mask"
|
940 |
],
|
941 |
"model_max_length": 1000000000000000019884624838656,
|
942 |
-
"pad_to_multiple_of": null,
|
943 |
"pad_token": "[PAD]",
|
944 |
-
"pad_token_type_id": 0,
|
945 |
-
"padding_side": "right",
|
946 |
"sep_token": "[SEP]",
|
947 |
-
"stride": 0,
|
948 |
"tokenizer_class": "PreTrainedTokenizerFast",
|
949 |
-
"truncation_side": "right",
|
950 |
-
"truncation_strategy": "longest_first",
|
951 |
"unk_token": "[UNK]"
|
952 |
}
|
|
|
933 |
"cls_token": "[CLS]",
|
934 |
"extra_special_tokens": {},
|
935 |
"mask_token": "[MASK]",
|
|
|
936 |
"model_input_names": [
|
937 |
"input_ids",
|
938 |
"attention_mask"
|
939 |
],
|
940 |
"model_max_length": 1000000000000000019884624838656,
|
|
|
941 |
"pad_token": "[PAD]",
|
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|
|
|
942 |
"sep_token": "[SEP]",
|
|
|
943 |
"tokenizer_class": "PreTrainedTokenizerFast",
|
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|
|
|
944 |
"unk_token": "[UNK]"
|
945 |
}
|