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graphcodebert-code-classification

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graphcodebert-code-classification

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  1. upload checkpoints

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  1. upload checkpoints, early stopping terminate training at 1700 steps

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  2. upload checkpoints

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  3. upload checkpoints

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  4. upload inference results

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  1. upload inference results

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  2. upload checkpoints

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  3. Update graphcodebert-base-lowLR-highBatchSize/checkpoint-500/trainer_state.json

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  4. upload inference results

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  5. upload checkpoints best at 500

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  6. upload unixcoder inference results

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  7. upload unixcoder inference results

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  1. upload unixcoder inference results

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  2. upload unixcoder inference results

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  3. upload unixcoder inference results

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  4. upload unixcoder checkpoint 50

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  1. Upload inference results

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  2. upload best checkpoints 100 graphcodebert mixcode fft

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  1. upload best checkpoints 100 graphcodebert mixcode fft

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  2. Delete files codebert-base* taskA-codebert* taskA-unixcoder* semeval-2026-challenge.log with huggingface_hub

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  3. Delete files checkpoint-* with huggingface_hub

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  4. Update README.md

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  5. Update README.md

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  6. Update README.md

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  7. upload best checkpoints 200 with f1 score 0.68

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  1. upload inference results on 500k-sample test set using checkpoint 200

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  2. upload graphcodebert robust, best f1 score at 0.54 at robust checkpoint 200

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  3. upload graphcodebert robust, best f1 score at 0.54 at robust checkpoint 200

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  4. upload graphcodebert robust, best f1 score at 0.54 at robust checkpoint 200

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  5. upload graphcodebert robust, best f1 score at 0.54 at robust checkpoint 200

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  1. upload graphcodebert robust, best f1 score at 0.54 at robust checkpoint 200

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  2. upload graphcodebert base, more training = more assign to majority class, poor f1 score T_T

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  3. upload graphcodebert base, more training = more assign to majority class, poor f1 score T_T

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  4. upload model weights after 2400 training steps with frozen pretrained weights, this performs worse than checkpoint 1000 on test set T_T

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  5. upload model weights after 2400 training steps with frozen pretrained weights, this performs worse than checkpoint 1000 on test set T_T

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  6. upload model weights after 1200 training steps with frozen pretrained weights

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  7. upload model weights after 800 training steps with frozen pretrained weights

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  8. Update README.md

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  1. Upload folder using huggingface_hub

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  1. Upload training checkpoints and best model

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  2. Upload training checkpoints and best model

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  3. Upload training checkpoints and best model

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  4. Create README.md

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  1. Upload training checkpoints and best model

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  2. Upload training checkpoints and best model

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  3. Upload training checkpoints and best model

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  1. Upload training checkpoints and best model

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  1. Upload training checkpoints after upsampling dataset

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  2. Upload training checkpoints and best model

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  3. Upload training checkpoints and best model

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