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Browse files- README.md +18 -0
- adapter-roberta-base-amazon-polarity.pkl +3 -0
- results.json +1 -0
README.md
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---
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tags:
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- text-classification
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- amazon-polarity
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- roberta-base
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- Adapter
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---
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# **we train an adapter for a RoBERTa model for sequence classification on a sentiment analysis task using adapter-transformers, the AdapterHub adaptation of HuggingFace's transformers library.**
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## Usage
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```python
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model = load_from_hub(repo_id="DrishtiSharma/Adapter-for-RoBERTa-on-amazon-polarity", filename="adapter-roberta-base-amazon-polarity.pkl")
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```
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adapter-roberta-base-amazon-polarity.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f9a0117847bf6a49e6ddbd1409e13f39c60695648ef2baf8fb16966d3bfca0d
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size 504669008
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results.json
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{"eval_loss": 0.1150890588760376, "eval_acc": 0.95941, "eval_samples_per_second": 715.503, "eval_steps_per_second": 22.359, "epoch": 0.71, "eval_datetime": "2023-03-12T21:10:31.440133"}
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