Update dpo/config.yaml

dpo/config.yaml

@@ -5,21 +5,21 @@ wandb:
 experiment:
   project: training
   name: show-o-dpo(only sft)
-  output_dir: /ssd7.7tb2/zrr/tcz/Show-o/ckts/train_set_hq_prune_full_t2i_dpo_10k_1e-5
+  output_dir: train_set_hq_prune_full_t2i_dpo_10k_1e-5
   save_every: 10000
   eval_every: 2500
   generate_every: 1000
   log_every: 1
   log_grad_norm_every: 20
-  logging_dir: /ssd7.7tb2/zrr/tcz/Show-o/ckts/train_set_hq_prune_full_t2i_dpo_10k_1e-5/logs
+  logging_dir: train_set_hq_prune_full_t2i_dpo_10k_1e-5/logs
 model:
   vq_model:
     type: magvitv2
     vq_model_name: showlab/magvitv2
-    pretrained_model_path: /ssd7.7tb2/zrr/tcz/Show-o/ckts/magvitv2/pytorch_model.safetensors
+    pretrained_model_path: pytorch_model.safetensors
   showo:
     load_from_showo: false
-    pretrained_model_path: /ssd7.7tb2/zrr/tcz/Show-o/ckts/pytorch_model.safetensors
+    pretrained_model_path: pytorch_model.safetensors
     w_clip_vit: false
     vocab_size: 58498
     llm_vocab_size: 50295
@@ -31,7 +31,7 @@ model:
 dataset:
   gen_type: t2i
   params:
-    data_path: /ssd7.7tb2/zrr/tcz/Show-o/ov/t2i_dpo_draft.yaml
+    data_path: t2i_dpo_draft.yaml
     validation_prompts_file: validation_prompts/showoprompts.txt
     shuffle_buffer_size: 1000
     num_workers: 32