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README.md
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model-index:
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- name: bert-base-uncased-Masked_Language_Model-US_Economic_News_Articles
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert-base-uncased-Masked_Language_Model-US_Economic_News_Articles
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased)
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It achieves the following results on the evaluation set:
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- Loss: 1.8322
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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| 2.004 | 2.0 | 4032 | 1.9002 |
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| 1.941 | 3.0 | 6048 | 1.8600 |
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### Framework versions
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- Transformers 4.27.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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model-index:
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- name: bert-base-uncased-Masked_Language_Model-US_Economic_News_Articles
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results: []
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language:
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- en
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metrics:
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- perplexity
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---
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# bert-base-uncased-Masked_Language_Model-US_Economic_News_Articles
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased).
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It achieves the following results on the evaluation set:
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- Loss: 1.8322
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## Model description
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This is a masked language modeling project.
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For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Masked%20Language%20Model/US%20Economic%20News%20Articles/US_Economic_News_Articles_MLM.ipynb
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## Intended uses & limitations
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This model is intended to demonstrate my ability to solve a complex problem using technology.
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## Training and evaluation data
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Dataset Source: https://www.kaggle.com/datasets/trikialaaa/2k-clean-medical-articles-medicalnewstoday
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## Training procedure
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| 2.004 | 2.0 | 4032 | 1.9002 |
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| 1.941 | 3.0 | 6048 | 1.8600 |
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Perplexity: 6.25
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### Framework versions
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- Transformers 4.27.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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