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Upload config.yaml with huggingface_hub

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  1. config.yaml +26 -0
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+ accelerator: auto
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+ checkpoint_interval: 100
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+ loss: distillRankNET
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+ max_grad_norm: 1.0
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+ optimization:
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+ batch_size: 64
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+ eps: 1.0e-08
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+ lr: 7.0e-06
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+ max_epochs: 2000
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+ num_warmup_steps: 5000
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+ optimizer_name: adam-w
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+ re_no_l2_regularization:
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+ - \.bias$
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+ - \.LayerNorm\.
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+ scheduler: true
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+ steps_per_epoch: 100
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+ warmup_min_factor: 0.0
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+ weight_decay: 0.0
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+ precision: null
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+ requirements: duration=12h & cpu(cores=16) & cuda(mem=80G)
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+ sample_max: 0
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+ sample_rate: 1.0
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+ strategy: auto
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+ validation: nanobeir
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+ validation_interval: 50
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+ validation_top_k: 100