---
library_name: transformers
license: llama2
base_model: llava-hf/LLaVA-NeXT-Video-7B-hf
tags:
- generated_from_trainer
model-index:
- name: sn-finetune-v3
  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. -->

# sn-finetune-v3

This model is a fine-tuned version of [llava-hf/LLaVA-NeXT-Video-7B-hf](https://huggingface.co/llava-hf/LLaVA-NeXT-Video-7B-hf) on an unknown dataset.

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 80

### Training results



### Framework versions

- Transformers 4.46.0
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3