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update model card README.md

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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: distilbert-base-uncased-finetuned-imdb
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  results: []
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  # distilbert-base-uncased-finetuned-imdb
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.6041
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 5.4216 | 1.0 | 10 | 4.7782 |
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- | 4.8573 | 2.0 | 20 | 4.7080 |
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- | 4.6729 | 3.0 | 30 | 4.5648 |
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  ### Framework versions
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  - Transformers 4.18.0
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  - Pytorch 1.11.0+cu113
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- - Datasets 2.1.0
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  - Tokenizers 0.12.1
 
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  license: apache-2.0
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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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  model-index:
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  - name: distilbert-base-uncased-finetuned-imdb
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  results: []
 
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  # distilbert-base-uncased-finetuned-imdb
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.4721
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.7086 | 1.0 | 157 | 2.4897 |
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+ | 2.5796 | 2.0 | 314 | 2.4230 |
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+ | 2.5269 | 3.0 | 471 | 2.4354 |
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  ### Framework versions
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  - Transformers 4.18.0
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  - Pytorch 1.11.0+cu113
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+ - Datasets 2.2.0
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  - Tokenizers 0.12.1