---
library_name: peft
license: other
base_model: llava-hf/LLaVA-NeXT-Video-7B-hf
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: train_2024-12-01-18-22-24
  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. -->

# train_2024-12-01-18-22-24

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 the merger, the LLM_dataset(4o) and the LLM_dataset(4mini) datasets.

## 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: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.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_steps: 100
- num_epochs: 1.0

### Training results



### Framework versions

- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.3.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3