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- ---
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- license: mit
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- language:
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- - en
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- metrics:
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- - precision
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- - recall
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- - f1
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- - accuracy
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- new_version: v1.0
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- datasets:
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- - BookCorpus
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- - Wikipedia
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- tags:
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- - BERT
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- - MNLI
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- - NLI
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- - transformer
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- - pre-training
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- - NLP
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- - MIT-NLP-v1
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- base_model:
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- - google/bert-base-uncased
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- library_name: transformers
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- ---
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  [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
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  [![Model Size](https://img.shields.io/badge/Size-~420MB-blue)](#)
@@ -165,7 +165,7 @@ The model was pretrained on:
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  - **BookCorpus**: ~11,038 unpublished books, providing diverse narrative text.
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  - **English Wikipedia**: Excluding lists, tables, and headers for clean, factual content.
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- See the [BoltUIX Dataset Card](https://huggingface.co/datasets/boltuix/bert-training-data) for more details.
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  ### Training Procedure
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+ ---
2
+ license: mit
3
+ language:
4
+ - en
5
+ metrics:
6
+ - precision
7
+ - recall
8
+ - f1
9
+ - accuracy
10
+ new_version: v1.0
11
+ datasets:
12
+ - BookCorpus
13
+ - Wikipedia
14
+ tags:
15
+ - BERT
16
+ - MNLI
17
+ - NLI
18
+ - transformer
19
+ - pre-training
20
+ - NLP
21
+ - MIT-NLP-v1
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+ base_model:
23
+ - google/bert-base-uncased
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+ library_name: transformers
25
+ ---
26
 
27
  [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
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  [![Model Size](https://img.shields.io/badge/Size-~420MB-blue)](#)
 
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  - **BookCorpus**: ~11,038 unpublished books, providing diverse narrative text.
166
  - **English Wikipedia**: Excluding lists, tables, and headers for clean, factual content.
167
 
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+ See the [BoltUIX Dataset Card](https://huggingface.co/boltuix/datasets) for more details.
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  ### Training Procedure
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