---
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: 1.3393

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.873         | 0.1   | 5    | 1.6084          |
| 1.6055        | 0.2   | 10   | 1.5360          |
| 2.0931        | 0.3   | 15   | 1.4717          |
| 1.3995        | 0.4   | 20   | 1.4390          |
| 1.4799        | 0.5   | 25   | 1.4170          |
| 1.2999        | 0.6   | 30   | 1.3999          |
| 1.6356        | 0.7   | 35   | 1.3855          |
| 1.3253        | 0.8   | 40   | 1.3713          |
| 1.4132        | 0.9   | 45   | 1.3630          |
| 1.4824        | 1.0   | 50   | 1.3557          |
| 1.0958        | 1.1   | 55   | 1.3478          |
| 1.3437        | 1.2   | 60   | 1.3490          |
| 1.3517        | 1.3   | 65   | 1.3459          |
| 1.0089        | 1.4   | 70   | 1.3415          |
| 1.1556        | 1.5   | 75   | 1.3369          |
| 1.3741        | 1.6   | 80   | 1.3393          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.47.0
- Pytorch 2.7.0a0+7c8ec84dab.nv25.03
- Datasets 3.5.0
- Tokenizers 0.21.1