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  1. README.md +54 -1
  2. config.json +1864 -0
  3. merges.txt +0 -0
  4. model.safetensors +3 -0
  5. special_tokens_map.json +15 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +57 -0
  8. vocab.json +0 -0
README.md CHANGED
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- license: mit
 
 
 
 
 
 
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  ---
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+ language: en
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+ tags:
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+ - exbert
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+
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+ license: apache-2.0
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+ datasets:
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+ - drug-review
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  ---
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+
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+ # DistilRoBERTa base fintuned condition classifier
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+
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+ # Table of Contents
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+
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+ 1. [Model Details](#model-details)
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+ 2. [Training Details](#training-details)
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+ 3. [Evaluation](#evaluation)
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+ 4. [How To Get Started With the Model](#how-to-get-started-with-the-model)
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+
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+ # Model Details
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+
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+ ## Model Description
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+
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+ This model is fine-tuned for a condition classification version of the [DistilRoBERTa-base model](https://huggingface.co/distilroberta-base).
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+ This model is case-sensitive: it makes a difference between english and English.
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+
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+
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+ - **Fine-tuned by:** Ban Ursus
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+ - **Model type:** Transformer-based language model
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+ - **Language(s) (NLP):** English
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+ - **License:** Apache 2.0
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+ - **Related Models:** [DistilRoBERTa-base model](https://huggingface.co/distilroberta-base)
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+ - **Resources for more information:**
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+ - [GitHub Repository](https://github.com/BanSangSu/Hugging_Face_NLP_Course/tree/main/Chapter5)
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+
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+
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+
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+ # Training Details
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+
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+ This model was fine-tuned 5 epochs using [Drug Review Dataset](https://archive.ics.uci.edu/dataset/462/drug+review+dataset+drugs+com). Therefore, you can improve the accuracy of this model just by training more.
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+
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+
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+ # Evaluation
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+
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+ Validation results:
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+
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+ | Accuracy | F1 score |
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+ |:----:|:----:|
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+ | 0.63 | 0.58 |
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+
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+ Note: Rounded to 2 decimal places
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+
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+
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+ # How to Get Started With the Model
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+
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+ Follow the Section 2 **Try it out!** of the [GitHub Repository](https://github.com/BanSangSu/Hugging_Face_NLP_Course/tree/main/Chapter5).
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