Update dpo_iter_parm_gudie/config.yaml

dpo_iter_parm_gudie/config.yaml

@@ -5,21 +5,21 @@ wandb:
 experiment:
   project: training
   name: show-o-dpo
-  output_dir: /data4tb/gzy/chengzhuo/Show-o/ckts/train_set_hq_prune_full_t2i_dpo_10k_1e-5_v2_ad_orm_RM
+  output_dir: train_set_hq_prune_full_t2i_dpo_10k_1e-5_v2_ad_orm_RM
   save_every: 10000
   eval_every: 2500
   generate_every: 1000
   log_every: 1
   log_grad_norm_every: 20
-  logging_dir: /data4tb/gzy/chengzhuo/Show-o/ckts/train_set_hq_prune_full_t2i_dpo_10k_1e-5_v2_ad_orm_RM/logs
+  logging_dir: train_set_hq_prune_full_t2i_dpo_10k_1e-5_v2_ad_orm_RM/logs
 model:
-  rw_model: /data4tb/gzy/chengzhuo/Show-o/ov/ckts/llava-onevision-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-ov_stage_am9--train_ad_orm
+  rw_model: llava-onevision-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-ov_stage_am9--train_ad_orm
   vq_model:
     type: magvitv2
     vq_model_name: showlab/magvitv2
   showo:
     load_from_showo: false
-    pretrained_model_path: /data4tb/gzy/chengzhuo/Show-o/ckts/train_set_hq_prune_full_t2i_dpo_10k_1e-5
+    pretrained_model_path: train_set_hq_prune_full_t2i_dpo_10k_1e-5
     w_clip_vit: false
     vocab_size: 58498
     llm_vocab_size: 50295
@@ -31,7 +31,7 @@ model:
 dataset:
   gen_type: t2i
   params:
-    data_path: /data4tb/gzy/chengzhuo/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