Model save

README.md

@@ -0,0 +1,55 @@
+---
+library_name: peft
+license: llama3.2
+base_model: meta-llama/Llama-3.2-11B-Vision-Instruct
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: fine-tuned-visionllama-dellm
+  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. -->
+
+# fine-tuned-visionllama-dellm
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-11B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- 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
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.45.1
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.3

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:81e7e7d16f2005a4ae845903501476827c685b5e58cbdb34fcab8c9f2d523a08
+oid sha256:4f236fa3ecb50d05cb9dfe7846fad1ef9aba197fcb71f2e200358a7be8e885d8
 size 23641256

runs/Nov22_00-18-38_WS-DEV-DELARAM/events.out.tfevents.1732234739.WS-DEV-DELARAM.9951.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f4966acf4f8877be19b313fc81176a3c84fc6904cb09a47118e14359e8253c30
-size 13643
+oid sha256:07c78067cd65ec88d24548d173e0156d69e8f359f27164c451448e7fef5858ea
+size 13850