update evaluation files

eval_configs/minigptv2_benchmark_evaluation.yaml

@@ -64,9 +64,9 @@ evaluation_datasets:
     batch_size: 10
   hm:
     eval_file_path: /path/to/eval/annotation/path  
-    img_path: /path/to/eval/image/path     
+    img_path: /path/to/eval/image/path 
     max_new_tokens: 20
-    batch_size: 10
+    batch_size: 100
 
 run:
   task: image_text_pretrain

eval_configs/minigptv2_eval.yaml

@@ -5,7 +5,7 @@ model:
   end_sym: "</s>"
   low_resource: True
   prompt_template: '[INST] {} [/INST]'
-  llama_model: "/ibex/project/c2133/llama_v2/llama-2-7b-chat-pytorch_update"
+  llama_model: ""
   ckpt: ""
   lora_r: 64
   lora_alpha: 16

minigpt4/configs/models/minigpt_v2.yaml

@@ -11,7 +11,7 @@ model:
   # generation configs
   prompt: ""
 
-  llama_model: "/ibex/project/c2133/llama_v2/llama-2-7b-chat-pytorch"
+  llama_model: ""
   lora_r: 64
   lora_alpha: 16
 

minigpt4/models/minigpt_base.py

@@ -10,11 +10,6 @@ from minigpt4.models.base_model import BaseModel
 from transformers import StoppingCriteria, StoppingCriteriaList
 
 from minigpt4.conversation.conversation import StoppingCriteriaSub
-<<<<<<< HEAD
-=======
-
-
->>>>>>> upstream/main
 
 class MiniGPTBase(BaseModel):
     """