Model save

README.md

@@ -1,20 +1,26 @@
 ---
 library_name: peft
 tags:
-- liuhaotian/llava-v1.5-13b_1.0
 - generated_from_trainer
 base_model: liuhaotian/llava-v1.5-13b
 model-index:
-- name: liuhaotian/llava-v1.5-13b_1.0
+- 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_1.0
+# llava_13b_country_synthetic
 
-This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b_1.0](https://huggingface.co/liuhaotian/llava-v1.5-13b_1.0) 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: 0.2012
+- eval_runtime: 95.921
+- eval_samples_per_second: 9.039
+- eval_steps_per_second: 0.573
+- epoch: 1.0
+- step: 55
 
 ## Model description
 

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:4eab3819f14293e58edb2bc32b2f95a4f93ac7ec01b07b359ae1641f60899016
 size 1001466944

num_examples=200/llava-v1.5-13b_2.0/adapter_config.json

@@ -20,12 +20,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "gate_proj",
-    "q_proj",
     "k_proj",
-    "down_proj",
     "v_proj",
+    "q_proj",
     "o_proj",
+    "gate_proj",
+    "down_proj",
     "up_proj"
   ],
   "task_type": "CAUSAL_LM",

num_examples=200/llava-v1.5-13b_2.0/adapter_model.safetensors

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num_examples=200/llava-v1.5-13b_2.0/training_args.bin

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