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Update clic/clusters/v1.9.0/README.md

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@@ -4,7 +4,25 @@ This model reconstructs particles in a detector, based on the tracks and calorim
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  ## Model Details
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- <Gallery />
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Model Description
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@@ -67,6 +85,9 @@ The datasets were generated using Key4HEP with the following scripts:
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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
@@ -113,7 +134,13 @@ singularity exec \
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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
@@ -134,6 +161,8 @@ singularity exec -B /scratch/persistent --nv \
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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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+
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+ <details>
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+ <summary>Jet performance</summary>
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+
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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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+
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+ </details>
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+
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+ <details>
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+ <summary>MET performance</summary>
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+
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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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+
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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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+
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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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+
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  ## Evaluation
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+
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+ <details>
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+ <summary>Evaluation script</summary>
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+
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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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+
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  ## Citation
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  ## Glossary