Model save

README.md

@@ -0,0 +1,61 @@
+---
+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_5
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/august-gislerud-rolfsen-relu/Dummy/runs/9mfryeev)
+# fine-tuned-visionllama_5
+
+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.
+It achieves the following results on the evaluation set:
+- eval_loss: 2.0710
+- eval_runtime: 8.0583
+- eval_samples_per_second: 0.62
+- eval_steps_per_second: 0.124
+- epoch: 0.0489
+- step: 425
+
+## 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: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 2
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.45.1
+- Pytorch 2.2.2+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.3

adapter_config.json

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+    "q_proj"
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   "task_type": "CAUSAL_LM",
   "use_dora": false,

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training_args.bin

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