End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # llva-1.5-7b-scicap
 
-This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) on an unknown dataset.
+This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) on the None dataset.
 
 ## Model description
 
@@ -35,12 +35,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1.4e-05
-- train_batch_size: 1
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -51,6 +51,6 @@ The following hyperparameters were used during training:
 
 - PEFT 0.11.1
 - Transformers 4.42.3
-- Pytorch 2.3.0+cu121
-- Datasets 2.20.0
+- Pytorch 2.1.0
+- Datasets 2.15.0
 - Tokenizers 0.19.1

adapter_config.json

@@ -23,19 +23,19 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "down_proj",
+    "out_proj",
+    "fc2",
     "up_proj",
     "k_proj",
-    "v_proj",
-    "linear_2",
-    "o_proj",
+    "q_proj",
     "linear_1",
-    "out_proj",
-    "fc2",
-    "gate_proj",
+    "fc1",
+    "o_proj",
     "lm_head",
-    "q_proj",
-    "down_proj",
-    "fc1"
+    "gate_proj",
+    "v_proj",
+    "linear_2"
   ],
   "task_type": null,
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:7a9028ff2d70894b667e158dc9cac01b6206af72306e06f416d55d6daadeaffa
 size 1290994752

training_args.bin

@@ -1,3 +1,3 @@
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-size 5432
+oid sha256:22446ff6369ea64f604493a6bfa32948dcd2da3052de375ae8181a21576c8498
+size 5176