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--- |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-uncased-finetuned-sst-2-english |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: finetuning-sentiment-model-bank_reviews-otherbank |
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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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# finetuning-sentiment-model-bank_reviews-otherbank |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on app store reviews from OCBC bank and POSB bank (Singapore). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4811 |
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- Accuracy: 0.8630 |
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- F1: 0.6970 |
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## Model description |
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Data was labelled according to review stars. If stars >3, review was ranked positive. Otherwise, it is labelled as negative. We have tried 4 stars instead of 3 as app developers would deem any negativity in reviews as negative as a whole, but accuracy dropped. Further investigations will need to be run. |
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Above 4 stars positive: https://huggingface.co/ajiayi/finetuning-sentiment-model-bank_reviews-otherbank-4insteadof3 |
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All data (OCBC,POSB,GXS): https://huggingface.co/ajiayi/finetuning-sentiment-model-bank_reviews |
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## Intended uses & limitations |
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Model was used in the following project: https://github.com/weixuanontherun/DSA3101_Group-19 |
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It was finetuned using OCBC and POSB and tested on GXS bank reviews. |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Tokenizers 0.15.2 |
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