Training in progress, step 300

README.md

@@ -1,17 +1,17 @@
 ---
-base_model: Qwen/Qwen2.5-VL-7B-Instruct
+base_model: Qwen/Qwen2.5-VL-3B-Instruct
 library_name: transformers
 model_name: anti_aesthetics_captioning
 tags:
 - generated_from_trainer
-- trl
 - sft
+- trl
 licence: license
 ---
 
 # Model Card for anti_aesthetics_captioning
 
-This model is a fine-tuned version of [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct).
+This model is a fine-tuned version of [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -27,7 +27,7 @@ print(output["generated_text"])
 
 ## Training procedure
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/3dsmile/huggingface/runs/4n52rfyh) 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/3dsmile/huggingface/runs/dvmegrnl) 
 
 
 This model was trained with SFT.

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "Qwen/Qwen2.5-VL-7B-Instruct",
+  "base_model_name_or_path": "Qwen/Qwen2.5-VL-3B-Instruct",
   "bias": "none",
   "corda_config": null,
   "eva_config": null,
@@ -25,11 +25,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "k_proj",
-    "o_proj",
     "qkv",
+    "o_proj",
+    "q_proj",
+    "proj",
     "v_proj",
-    "q_proj"
+    "k_proj"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",

adapter_model.safetensors

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+size 181568928

training_args.bin

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 size 5777