---
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
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# 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