---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-11B-Vision-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama32-rocov2
  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. -->

# llama32-rocov2

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:
- Loss: 1.5308

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: reduce_lr_on_plateau
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9044        | 0.3057 | 1000 | 1.4144          |
| 0.8406        | 0.6115 | 2000 | 1.3676          |
| 1.191         | 0.9172 | 3000 | 1.2214          |
| 0.6385        | 1.2229 | 4000 | 1.3376          |
| 0.653         | 1.5286 | 5000 | 1.3327          |
| 0.6588        | 1.8344 | 6000 | 1.3117          |
| 0.2798        | 2.1401 | 7000 | 1.5337          |
| 0.2596        | 2.4458 | 8000 | 1.5558          |
| 0.2668        | 2.7516 | 9000 | 1.5308          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1