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README.md
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---
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license: apache-2.0
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---
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epoch0-insert-at-4-frozen-deep-norq.ckpt
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* trained to vall acc@5 0.887 acc@1 .6697
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* big codebook size (256)
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---
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license: apache-2.0
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---
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insert_at_4_nonfrozen_50rn_4heads_k=128.ckpt
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* Final validation scores: acc@1=0.758 acc@5=0.92
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* Trained for 4 epochs
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```
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# lightning.pytorch==2.0.0
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seed_everything: true
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trainer:
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callbacks:
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- class_path: lightning.pytorch.callbacks.ModelCheckpoint
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init_args:
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save_last: true
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save_top_k: 1
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monitor: v_c_loss
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- class_path: lightning.pytorch.callbacks.LearningRateMonitor
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accelerator: auto
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strategy: auto
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devices: auto
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num_nodes: 1
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precision: 16-mixed
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logger: null
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fast_dev_run: false
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max_epochs: 8
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min_epochs: null
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max_steps: -1
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min_steps: null
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max_time: null
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limit_train_batches: null
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limit_val_batches: null
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limit_test_batches: null
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limit_predict_batches: null
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overfit_batches: 0.0
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val_check_interval: 0.1
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check_val_every_n_epoch: 1
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num_sanity_val_steps: null
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log_every_n_steps: 15
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enable_checkpointing: true
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enable_progress_bar: null
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enable_model_summary: null
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accumulate_grad_batches: 1
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gradient_clip_val: 1.0
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gradient_clip_algorithm: null
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deterministic: null
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benchmark: null
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inference_mode: true
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use_distributed_sampler: true
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profiler: null
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detect_anomaly: false
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barebones: false
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plugins: null
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sync_batchnorm: false
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reload_dataloaders_every_n_epochs: 0
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default_root_dir: ckpt/insert_at_4_nonfrozen_50rn_4heads_k=128
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model:
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resnet_type: 50
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is_rq: false
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quantizer_args:
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heads: 8
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use_cosine_sim: false
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accept_image_fmap: true
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codebook_dim: 256
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codebook_size: 128
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decay: 0.95
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eps: 1.0e-05
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commitment_weight: 0.0
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threshold_ema_dead_code: 2
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resnet_insertion_index: 4
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unfreeze_resnet_block_indeces: [3]
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unfreeze_fc: true
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lr: 0.00010
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data:
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data_dir: "/home/figes/Downloads/ILSVRC2012_CLS-LOC/"
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image_size: 224
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num_workers: 6
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batch_size: 512
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shuffle: true
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pin_memory: true
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drop_last: false
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```
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epoch0-insert-at-4-frozen-deep-norq.ckpt
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* trained to vall acc@5 0.887 acc@1 .6697
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* big codebook size (256)
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