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README.md
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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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[](https://opensource.org/licenses/MIT)
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[](#)
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- **BookCorpus**: ~11,038 unpublished books, providing diverse narrative text.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/
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### Training Procedure
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---
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+
license: mit
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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
|
22 |
+
base_model:
|
23 |
+
- google/bert-base-uncased
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24 |
+
library_name: transformers
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25 |
+
---
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26 |
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[](https://opensource.org/licenses/MIT)
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[](#)
|
|
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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 |
|
168 |
+
See the [BoltUIX Dataset Card](https://huggingface.co/boltuix/datasets) for more details.
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### Training Procedure
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