adding detals and test result
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README.md
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# 2d_psn_800
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on
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It achieves the following results on the evaluation set:
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- Loss: 0.3548
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- Accuracy: 0.765
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## Model description
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More information needed
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# 2d_psn_800
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [ComNum](https://huggingface.co/datasets/abbassix/ComNum) dataset.
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This model used 800 samples as training, 200 as validation, and 1200 as test on three epochs.
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It achieves the following results on the evaluation set:
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- Loss: 0.3548
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- Accuracy: 0.765
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This model achieves the following results on the test set:
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- Loss: 0.3519
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- Accuracy: 0.7494
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{'eval_loss': 0.35188838839530945, 'eval_accuracy': 0.7494, 'eval_runtime': 874.3742, 'eval_samples_per_second': 11.437, 'eval_steps_per_second': 1.43}
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## Model description
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More information needed
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