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# gpt1_sst2_right
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This model is a fine-tuned version of [openai-gpt](https://huggingface.co/openai-gpt) on
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It achieves the following results on the evaluation set:
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- Loss: 0.4216
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- Accuracy: 0.9255
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- Precision: 0.9183
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For testing, the model is loaded as a pipeline, and used for the prediction of each sample in test split. The samples and their predictions are recorded in [test_preds.csv](https://huggingface.co/goktug14/gpt1_sst2_right/blob/main/test_preds.csv) file.
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Access to [
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## Model description
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# gpt1_sst2_right
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This model is a fine-tuned version of [openai-gpt](https://huggingface.co/openai-gpt) on sst2 dataset of GLUE benchmark.
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It achieves the following results on the evaluation set:
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- Loss: 0.4216
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- Accuracy: 0.9255
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- Precision: 0.9183
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For testing, the model is loaded as a pipeline, and used for the prediction of each sample in test split. The samples and their predictions are recorded in [test_preds.csv](https://huggingface.co/goktug14/gpt1_sst2_right/blob/main/test_preds.csv) file.
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Access to [Repository](https://github.com/GoktugGuvercin/Text-Classification/blob/main/gpt1_sst2.ipynb) for finetuning.
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## Model description
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