Model save

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: peft
 license: apache-2.0
-base_model: Qwen/Qwen2-VL-2B-Instruct
+base_model: Qwen/Qwen2-VL-7B-Instruct
 tags:
 - trl
 - sft
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # qwen2-7b-instruct-amazon-description
 
-This model is a fine-tuned version of [Qwen/Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct) on an unknown dataset.
+This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) on an unknown dataset.
 
 ## Model description
 
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant
 - lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 3
+- training_steps: 2
 
 ### Training results
 

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "Qwen/Qwen2-VL-2B-Instruct",
+  "base_model_name_or_path": "Qwen/Qwen2-VL-7B-Instruct",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+size 10107280

runs/Oct29_10-47-37_amp-9.las.iastate.edu/events.out.tfevents.1730216858.amp-9.las.iastate.edu.3468905.0

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+size 6671

training_args.bin

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 size 5560