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Upload figr8/art/config.yaml with huggingface_hub

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  1. figr8/art/config.yaml +66 -0
figr8/art/config.yaml ADDED
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+ data_params:
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+ csv_path: /raid/marco.cipriano/data/SVG/Grimoire/figr8/tokenized/VSQ_nseg=4_ncode=2_lseg=5.0_alpha=0.1None/split.csv
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+ dataset: figr8
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+ fraction_of_blank_inputs: 0.1
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+ fraction_of_class_only_inputs: 0.1
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+ fraction_of_full_description_inputs: 0.55
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+ fraction_of_iconshop_chatgpt_inputs: 0.25
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+ grid_size: 256
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+ max_text_token_length: 50
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+ min_context_length: 10
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+ num_workers: 32
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+ shuffle_vq_order: false
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+ train_batch_size: 16
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+ use_pre_computed_text_tokens_only: false
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+ val_batch_size: 16
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+ vq_token_npy_path: /raid/marco.cipriano/data/SVG/Grimoire/figr8/tokenized/VSQ_nseg=4_ncode=2_lseg=5.0_alpha=0.1None/tokenized.npy
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+ width: 128
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+ exp_params:
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+ lr: 0.0006
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+ manual_seed: 42
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+ post_process: false
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+ scheduler_gamma: 0.96
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+ train_log_interval: 0.25
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+ val_log_interval: 0.5
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+ warmup_steps: 50000
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+ weight_decay: 0.0001
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+ logging_params:
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+ author: Marco
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+ entity: aiis-chair
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+ name: ART_nseg=4_ncode=2_lseg=5_alpha01_256gri
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+ project: thesis
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+ save_dir: /raid/marco.cipriano/results/svg/Grimoire/ART/figr8/nseg=4_ncode=2_lseg=5_alpha01_256grid
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+ version: 0
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+ model_params:
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+ depth: 16
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+ dim: 512
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+ ff_mult: 2
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+ heads: 8
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+ max_seq_len: 562
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+ name: VQ_SVG_Stage2
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+ text_encoder_str: google/bert_uncased_L-12_H-512_A-8
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+ use_alibi_positional_bias: false
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+ stage1_params:
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+ alpha: 0.1
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+ checkpoint_path: /raid/marco.cipriano/results/svg/Grimoire/VSQ/figr8/VSQ_nseg=4_ncode=2_lseg=5.0_alpha=0.1None/checkpoints/last.ckpt
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+ codebook_size: 4096
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+ fsq_levels:
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+ - 7
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+ - 5
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+ - 5
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+ - 5
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+ - 5
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+ image_loss: mse
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+ lseg: 5.0
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+ name: VSQ
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+ num_codes_per_shape: 1
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+ num_segments: 4
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+ pred_color: false
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+ quantized_dim: 512
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+ vector_decoder_model: mlp
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+ vq_method: fsq
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+ trainer_params:
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+ accumulate_grad_batches: 2
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+ devices: -1
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+ max_epochs: 100
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+