Update clic/clusters/v1.9.0/README.md
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clic/clusters/v1.9.0/README.md
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## Model Details
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### Model Description
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## Training Procedure
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```bash
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#!/bin/bash
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#SBATCH --job-name=mlpf-train
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--train --gpu-batch-multiplier 128 --num-workers 8 --prefetch-factor 100 --checkpoint-freq 1 --conv-type attention --dtype bfloat16 --lr 0.0001 --num-epochs 30
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```
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## Evaluation
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```bash
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#!/bin/bash
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#SBATCH --partition gpu
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~
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```
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## Citation
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## Glossary
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## Model Details
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The performance is measured with respect to generator-level jets and MET computed from Pythia particles, i.e. the truth-level jets and MET.
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<details>
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<summary>Jet performance</summary>
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<img src="plots_checkpoint-26-2.004527/clic_edm_ttbar_pf/jet_response_iqr_over_med_pt.png" alt="ttbar jet resolution" width="300"/>
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<img src="plots_checkpoint-26-2.004527/clic_edm_qq_pf/jet_response_iqr_over_med_pt.png" alt="qq jet resolution" width="300"/>
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<img src="plots_checkpoint-26-2.004527/clic_edm_ww_fullhad_pf/jet_response_iqr_over_med_pt.png" alt="ttbar jet resolution" width="300"/>
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</details>
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<details>
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<summary>MET performance</summary>
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<img src="plots_checkpoint-26-2.004527/clic_edm_ttbar_pf/met_response_iqr_over_med.png" alt="ttbar MET resolution" width="300"/>
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<img src="plots_checkpoint-26-2.004527/clic_edm_qq_pf/met_response_iqr_over_med.png" alt="qq MET resolution" width="300"/>
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<img src="plots_checkpoint-26-2.004527/clic_edm_ww_fullhad_pf/met_response_iqr_over_med.png" alt="ttbar MET resolution" width="300"/>
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</details>
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### Model Description
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## Training Procedure
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<details>
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<summary>Training script</summary>
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```bash
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#!/bin/bash
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#SBATCH --job-name=mlpf-train
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--train --gpu-batch-multiplier 128 --num-workers 8 --prefetch-factor 100 --checkpoint-freq 1 --conv-type attention --dtype bfloat16 --lr 0.0001 --num-epochs 30
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```
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</details>
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## Evaluation
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<details>
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<summary>Evaluation script</summary>
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```bash
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#!/bin/bash
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#SBATCH --partition gpu
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~
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```
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</details>
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## Citation
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## Glossary
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