Model save

README.md

@@ -1,27 +1,19 @@
 ---
 library_name: peft
 tags:
-- liuhaotian/llava-v1.5-13b_20.0
 - generated_from_trainer
 base_model: liuhaotian/llava-v1.5-13b
 model-index:
-- name: liuhaotian/llava-v1.5-13b_20.0
+- name: llava_13b_exact_gps_coordinates_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_20.0
+# llava_13b_exact_gps_coordinates_synthetic
 
-This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b_20.0](https://huggingface.co/liuhaotian/llava-v1.5-13b_20.0) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 0.0067
-- eval_runtime: 48.0025
-- eval_samples_per_second: 8.854
-- eval_steps_per_second: 0.562
-- epoch: 19.0
-- step: 513
+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.
 
 ## Model description
 
@@ -45,9 +37,9 @@ The following hyperparameters were used during training:
 - eval_batch_size: 4
 - seed: 42
 - distributed_type: multi-GPU
-- num_devices: 4
-- total_train_batch_size: 16
-- total_eval_batch_size: 16
+- num_devices: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.03

adapter_config.json

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

adapter_model.safetensors

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

num_examples=200/llava-v1.5-13b_1.0/adapter_config.json

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

num_examples=200/llava-v1.5-13b_1.0/adapter_model.safetensors

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num_examples=200/llava-v1.5-13b_1.0/training_args.bin

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training_args.bin

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