lx865712528
commited on
Commit
•
932f4d6
1
Parent(s):
ccc8049
add ckpts
Browse files- README.md +25 -0
- args.pt +3 -0
- config.json +26 -0
- model.pt +3 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- rng_state_4.pth +3 -0
- rng_state_5.pth +3 -0
- rng_state_6.pth +3 -0
- rng_state_7.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- trainer_state.json +976 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
CHANGED
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---
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license: mit
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---
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---
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license: mit
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datasets:
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- wikipedia
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language:
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- en
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pipeline_tag: feature-extraction
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---
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# MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers
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Paper: [https://arxiv.org/abs/2212.07841](https://arxiv.org/abs/2212.07841).
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Code: [https://github.com/microsoft/SimXNS/tree/main/MASTER](https://github.com/microsoft/SimXNS/tree/main/MASTER).
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## Overview
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This is the checkpoint after pretraining on the NQ, TQ, WQ and Squad's Wikipedia corpus. **You may use this checkpoint as the initialization for finetuning.**
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## Useage
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To load this checkpoint for initialization, you may follow:
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```python
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from transformers import AutoModel
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model = AutoModel.from_pretrained('lx865712528/master-base-pretrained-wiki')
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```
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args.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1439cc607072746600118078deacff654edf6d51e47c88bd6d3385ebf3a20590
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size 3951
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config.json
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertForMaskedLM"
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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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"gradient_checkpointing": false,
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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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"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": "4.18.0",
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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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}
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c343563657eea85f4124a11ba619a812ee64ab04a25c7c850e2e3ad4ea32071
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size 283595215
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9acc56ed837d072e9bbb355773d26f0a4a4dcf164a7f74826bfca663a4ed800
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size 1443372131
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:405df306ba658071fb99b0ba60280bd3fd9d73f672c26e10371ae7e53ae17dfb
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size 438134098
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rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca6ca633fb0ed23e5ac71e9ddac76a9dcd732b5b8c28cc21b865e581008a78e5
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size 14657
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rng_state_1.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:10ab03f68cca98fc0abd4a88f49099257a34fcb8ec79a70846a1b9bdf5653496
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size 14657
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rng_state_2.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:af07c866be87f0d67ab5af2639047e1f2070b7d262c91e93c2510a42a75f4348
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size 14657
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rng_state_3.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3c0c7422d1c82ecfb6b7b7b48b33576dd881e55e2b1a4f48937699f11832952
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size 14657
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rng_state_4.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:046693d6c53a34ae574daa367567b68b1c499daf431a8198bdc13825ecdcb1b9
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size 14657
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rng_state_5.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:cadce130e8edcf76062244bb3111bb26b146929e65e60b93d82c8b9fd783b3af
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size 14657
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rng_state_6.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:b9c2a1ba5357645713654bb9c787c7050c3f95c9d1a3493e0b473157cc81f75c
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size 14657
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rng_state_7.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1dfa7272295afe0f16fc36d303186c09d16f3ce773ed98371e624bfeb898f64
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size 14657
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scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:55ea39c9f13e88517e810f376570f55da55be4c250a827c088f03c4849e27ca8
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size 559
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:10a6d1f2955446a2cf5019183d53c2744d397e57aefadc38846fd5f821cdf41e
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size 623
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer_config.json
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{"do_lower_case": true, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-uncased", "tokenizer_class": "BertTokenizer"}
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trainer_state.json
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