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image_res: 224 |
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batch_size_train: 8 |
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batch_size_test: 64 |
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k_test: 64 |
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warm_up: True |
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optimizer: {opt: adamW, lr: 2e-5, weight_decay: 0.02, prompt_lr: 1e-5} |
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schedular: {sched: cosine, scheduler_groups: 0 , lr: 2e-5, epochs: 26, min_lr: 1e-6, decay_rate: 1, warmup_lr: 1e-5, warmup_epochs: 4, cooldown_epochs: 0} |
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use_vis_prefix: True |
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start_layer_idx: 19 |
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end_layer_idx: 31 |
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injected_hidden_states: 6 |
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lm_loss_weight: 0.1 |
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unfreeze_text_layer_norm: False |
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unfreeze_vision_layer_norm: False |
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num_workers: 4 |
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special_answer_token: '</a>' |
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replace_added_tokens: True |
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use_cache: False |
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connector_per_text_layer: False |
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text_step: 1 |
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num_beams: 3 |
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do_sample: False |
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prompt_tuning: True |
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prompt_len: 10 |
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modality: 'video' |
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dataset_name: 'msvd' |
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train_split: 'msvd_vqa_train' |
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val_split: 'msvd_vqa_val' |
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test_split: 'msvd_vqa_test' |
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num_frames: 8 |
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sample_type: 'rand' |
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num_tries: 1 |
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as_images: False |
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all_vis_tokens: False |
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vision_model_name: 'timesformer' |
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pretrained_model: '/gpfswork/rech/dyf/ugz83ue/.cache/torch/hub/checkpoints/TimeSformer_divST_8x32_224_K600.pyth' |
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