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update model card README.md

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  ---
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  license: mit
 
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  tags:
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  - generated_from_trainer
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  model-index:
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6934
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- - Rmse: 0.6538
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rmse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.7459 | 1.0 | 500 | 0.7830 | 0.7537 |
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- | 0.6459 | 2.0 | 1000 | 0.6346 | 0.6580 |
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- | 0.5262 | 3.0 | 1500 | 0.6565 | 0.6588 |
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- | 0.4144 | 4.0 | 2000 | 0.6934 | 0.6538 |
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  ### Framework versions
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- - Transformers 4.30.2
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.13.1
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  - Tokenizers 0.13.3
 
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  ---
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  license: mit
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+ base_model: roberta-base
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6361
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+ - Rmse: 0.6573
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rmse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.742 | 1.0 | 500 | 0.6680 | 0.7110 |
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+ | 0.6323 | 2.0 | 1000 | 0.6681 | 0.7018 |
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+ | 0.5293 | 3.0 | 1500 | 0.6361 | 0.6573 |
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+ | 0.4233 | 4.0 | 2000 | 0.6638 | 0.6538 |
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  ### Framework versions
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+ - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.13.1
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  - Tokenizers 0.13.3