update model card README.md
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README.md
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- accuracy
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model-index:
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name: Text Classification
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type: text-classification
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dataset:
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name:
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type:
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args:
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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# sentiment-model-sample
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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### Framework versions
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- Transformers 4.
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.3
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- Tokenizers 0.11.6
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tags:
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- generated_from_trainer
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datasets:
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- imdb
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metrics:
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- accuracy
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model-index:
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name: Text Classification
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type: text-classification
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dataset:
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name: imdb
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type: imdb
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args: plain_text
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.93948
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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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# sentiment-model-sample
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5280
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- Accuracy: 0.9395
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## Model description
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.3
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- Tokenizers 0.11.6
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