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| Model Training Summary |
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| Model: google-bert/bert-base-uncased |
| Task: sst2 |
| Training Date: Sat Sep 6 01:27:10 PM JST 2025 |
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| Hyperparameters: |
| - Epochs: 10 |
| - Batch Size: 32 |
| - Learning Rate: 3e-5 |
| - Warmup Steps: 400 |
| - Weight Decay: 0.01 |
| - Max Sequence Length: 128 |
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| Training Status: SUCCESS |
| Job: 2/15 |
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| Model Directory: /home/ubuntu/master-research/not-trust-quivalent/models/sst2/google-bert-bert-base-uncased |
| Script Path: /home/ubuntu/master-research/not-trust-quivalent/src/finetune/train.py |
| Output Directory: /home/ubuntu/master-research/not-trust-quivalent/models |
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