unidisc / configs /experiments /large_scale_train_high_res.yaml
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# @package _global_
data:
resolution: 512
data_dir_train:
- dir: ${oc.env:DIFFUSION_DATA_DIR}/tokens/matrix/HPDv2_image_reward_v1_v2_v3/train
weight: 1
name: HPDv2_image_reward_512
- dir: ${oc.env:DIFFUSION_DATA_DIR}/tokens/grogu/pick_score_sac_prompts_v1_v2_v3_512
weight: 2
name: pick_score_sac_prompts_v1_v2_v3_512
- dir: ${oc.env:DIFFUSION_DATA_DIR}/tokens/scratch_ssd_tokens/datacomp1b_7_512
weight: 0.5
name: datacomp1b_7_512
- dir: ${oc.env:DIFFUSION_DATA_DIR}/tokens/grogu/text/slimpajama6b
weight: 2.5
name: slimpajama6b
data_dir_val:
- dir: ${oc.env:DIFFUSION_DATA_DIR}/tokens/matrix/gecko_eval_512
weight: 1.0
name: gecko_eval_512
trainer:
text_loss_weight: 1.0
img_loss_weight: 0.5
force_full_attention_mask: true
mask_entire_modality: 0.1
loader:
pin_memory: false
num_workers: 4
num_eval_workers: 4
lr_scheduler:
num_warmup_steps: 5000
model:
linear_factor: 2