---
library_name: peft
license: other
base_model: llava-hf/LLaVA-NeXT-Video-7B-hf
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: 250212_Abroad_LLaVANeXTVideo_7B
  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. -->

# 250212_Abroad_LLaVANeXTVideo_7B

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 qwen2_vl_dora dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1177
- Num Input Tokens Seen: 6558464

## 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: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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
- num_epochs: 5.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 1.6583        | 1.0354 | 30   | 0.2256          | 1400256           |
| 0.6975        | 2.0708 | 60   | 0.1229          | 2800512           |
| 0.72          | 3.1062 | 90   | 0.1204          | 4200768           |
| 0.1667        | 4.1416 | 120  | 0.1198          | 5601024           |


### Framework versions

- PEFT 0.12.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0