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model: |
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learning_rate: 0.0003 |
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target: celle_main.CELLE_trainer |
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params: |
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ckpt_path: logs/2023-03-02T14-28-43_HPA_celle_ESM2_640/checkpoints/epoch=000013.ckpt |
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condition_model_path: logs/2022-11-07T17-17-51_OpenCell_nucleus_vqgan_finetune/checkpoints/epoch=000468.ckpt |
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condition_config_path: logs/2022-11-07T17-17-51_OpenCell_nucleus_vqgan_finetune/configs/2023-02-23T19-14-01-project.yaml |
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vqgan_model_path: logs/2023-02-13T11-37-10_OpenCell_threshold_vqgan_finetune/checkpoints/last.ckpt |
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vqgan_config_path: logs/2023-02-13T11-37-10_OpenCell_threshold_vqgan_finetune/configs/2023-02-13T11-37-10-project.yaml |
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image_key: threshold |
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num_images: 2 |
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dim: 640 |
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num_text_tokens: 33 |
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text_seq_len: 1000 |
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depth: 55 |
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heads: 16 |
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dim_head: 64 |
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attn_dropout: 0.1 |
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ff_dropout: 0.1 |
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attn_types: full |
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rotary_emb: true |
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fixed_embedding: true |
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monitor: val/loss_epoch |
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text_embedding: esm2 |
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loss_img_weight: 1 |
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loss_cond_weight: 1 |
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data: |
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target: celle_main.CellDataModule |
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params: |
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data_csv: /home/emaad/CELL-E_2/data/OpenCell/train_test_split_HPA_50.csv |
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dataset: OpenCell |
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sequence_mode: embedding |
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vocab: esm2 |
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threshold: median |
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text_seq_len: 1000 |
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crop_size: 256 |
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resize: 600 |
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batch_size: 1 |
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num_workers: 8 |
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