Model save

README.md

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+---
+library_name: peft
+license: llama3.2
+base_model: meta-llama/Llama-3.2-11B-Vision
+tags:
+- generated_from_trainer
+model-index:
+- name: llama-32-11b-vlm_peft_output33
+  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. -->
+
+# llama-32-11b-vlm_peft_output33
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-11B-Vision](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4173
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5815        | 0.1   | 5    | 1.4947          |
+| 1.2372        | 0.2   | 10   | 1.4967          |
+| 1.2151        | 0.3   | 15   | 1.4176          |
+| 1.0996        | 0.4   | 20   | 1.3943          |
+| 1.0703        | 0.5   | 25   | 1.3741          |
+| 0.8924        | 0.6   | 30   | 1.3785          |
+| 1.1963        | 0.7   | 35   | 1.3736          |
+| 1.038         | 0.8   | 40   | 1.3599          |
+| 1.2125        | 0.9   | 45   | 1.3479          |
+| 1.1221        | 1.0   | 50   | 1.3357          |
+| 0.7035        | 1.1   | 55   | 1.3408          |
+| 1.0136        | 1.2   | 60   | 1.3743          |
+| 1.0031        | 1.3   | 65   | 1.4109          |
+| 0.7483        | 1.4   | 70   | 1.4218          |
+| 0.8856        | 1.5   | 75   | 1.4173          |
+
+
+### Framework versions
+
+- PEFT 0.15.1
+- Transformers 4.48.3
+- Pytorch 2.7.0a0+7c8ec84dab.nv25.03
+- Datasets 3.5.0
+- Tokenizers 0.21.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "MllamaForConditionalGeneration",
+    "parent_library": "transformers.models.mllama.modeling_mllama"
+  },
+  "base_model_name_or_path": "meta-llama/Llama-3.2-11B-Vision",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "o_proj",
+    "down_proj",
+    "gate_proj",
+    "v_proj",
+    "k_proj",
+    "up_proj"
+  ],
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": true,
+  "use_rslora": false
+}

adapter_model.bin

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training_args.bin

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