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README.md
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@@ -63,20 +63,20 @@ This gives LED excellent performance on structural legal documents.
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| Setting | Value |
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| Base model | nsi319/legal-led-base-16384 |
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| Epochs |
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| Batch size |
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| Gradient accumulation |
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| Learning rate | 1e-5 |
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| Optimizer | AdamW |
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| Weight decay | 0.01 |
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| FP16 | Yes |
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| Warmup steps | 500 |
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| Max input length |
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| Max output length | 512 tokens |
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| Attention | Global attention on first token |
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| Scheduler | Linear |
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Training was performed on **NVIDIA
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| Setting | Value |
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| Base model | nsi319/legal-led-base-16384 |
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| Epochs | 6 total |
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| Batch size | 2 |
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| Gradient accumulation | 2 |
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| Learning rate | 1e-5 |
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| Optimizer | AdamW |
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| Weight decay | 0.01 |
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| FP16 | Yes |
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| Warmup steps | 500 |
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| Max input length | 4096 tokens |
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| Max output length | 512 tokens |
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| Attention | Global attention on first token |
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| Scheduler | Linear |
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Training was performed on **NVIDIA P100 (16GB VRAM)** via Kaggle.
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