Model save

README.md

@@ -1,27 +1,26 @@
 ---
 library_name: peft
 tags:
-- liuhaotian/llava-v1.5-13b_9.0
 - generated_from_trainer
 base_model: liuhaotian/llava-v1.5-13b
 model-index:
-- name: liuhaotian/llava-v1.5-13b_9.0
+- name: llava_13b_country_synthetic
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# liuhaotian/llava-v1.5-13b_9.0
+# llava_13b_country_synthetic
 
-This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b_9.0](https://huggingface.co/liuhaotian/llava-v1.5-13b_9.0) on an unknown dataset.
+This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0058
-- eval_runtime: 150.8359
-- eval_samples_per_second: 12.504
+- eval_loss: 0.0049
+- eval_runtime: 150.7809
+- eval_samples_per_second: 12.508
 - eval_steps_per_second: 0.391
-- epoch: 8.0
-- step: 472
+- epoch: 9.0
+- step: 531
 
 ## Model description
 

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 1001466944

num_examples=400/llava-v1.5-13b_10.0/adapter_config.json

@@ -20,13 +20,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
     "gate_proj",
     "v_proj",
+    "o_proj",
+    "k_proj",
     "up_proj",
     "down_proj",
-    "o_proj",
-    "k_proj"
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

num_examples=400/llava-v1.5-13b_10.0/adapter_model.safetensors

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num_examples=400/llava-v1.5-13b_10.0/training_args.bin

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-size 6776
+oid sha256:5dc5d6efc84c20cbf928bdaf87d895c7faf9735594fe0d155c210fe04be92e57
+size 6840