Commit
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9529aab
1
Parent(s):
2dcc23b
Add model
Browse files- README.md +22 -0
- added_tokens.json +4 -0
- artifact.metadata +42 -0
- config.json +25 -0
- model.safetensors +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +74 -0
- vocab.txt +0 -0
README.md
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---
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license: apache-2.0
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language:
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- en
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tags:
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- ColBERT
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- sentence-similarity
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- feature-extraction
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- generated_from_trainer
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- dataset_size:497901
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- loss:Contrastive
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base_model: google/bert_uncased_L-2_H-128_A-2
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datasets:
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- sentence-transformers/msmarco-bm25
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pipeline_tag: sentence-similarity
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---
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# Model card for ColBERT v2 BERT Tiny
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This is a [ColBERT](https://github.com/stanford-futuredata/ColBERT) model finetuned from [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the [msmarco-bm25](https://huggingface.co/datasets/sentence-transformers/msmarco-bm25) dataset. It maps sentences & paragraphs to sequences of 128-dimensional dense vectors and can be used for semantic textual similarity using the MaxSim operator.
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This model is primarily designed for unit tests in limited compute environments such as GitHub Actions. But it does work to an extent for basic use cases.
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added_tokens.json
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{
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"[D] ": 30523,
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"[Q] ": 30522
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}
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artifact.metadata
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{
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"query_token_id": "[Q] ",
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"doc_token_id": "[D] ",
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"query_token": "[Q] ",
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"doc_token": "[D] ",
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"nprobe": 2,
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"ncandidates": 8192,
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"index_path": null,
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"nbits": 1,
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"kmeans_niters": 20,
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"similarity": "cosine",
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"bsize": 8,
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"accumsteps": 1,
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"lr": null,
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"maxsteps": null,
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"save_every": null,
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"resume": false,
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"warmup": null,
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"warmup_bert": null,
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"relu": false,
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"nway": 64,
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"use_ib_negatives": true,
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"query_maxlen": 32,
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"attend_to_mask_tokens": false,
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"dim": 128,
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"doc_maxlen": 180,
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"mask_punctuation": true,
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"checkpoint": null,
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"triples": null,
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"collection": null,
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"queries": null,
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"index_name": null,
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"overwrite": false,
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"root": "",
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"experiment": "default",
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"index_root": null,
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"name": "colbert-bert-tiny",
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"rank": 0,
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"nranks": 1,
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"amp": false,
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"gpus": 1,
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}
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config.json
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{
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"_name_or_path": "google/bert_uncased_L-2_H-128_A-2",
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"architectures": [
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"HF_ColBERT"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 128,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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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": 2,
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"num_hidden_layers": 2,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.48.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30524
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:520fc0bc90d8bf51ddcfa05255c1b41bda0f4925577c0609d35201a5b2359814
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size 17614528
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[MASK]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"30522": {
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"content": "[Q] ",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"30523": {
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"content": "[D] ",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": false
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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"pad_token": "[MASK]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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