Anon

🚀 Anon for Paper Submission

This model is designed for video - text - to - text tasks. It offers a fine - tuned solution based on an existing model, addressing specific needs in the relevant field.

🚀 Quick Start

This model is a fine - tuned version of [lmms - lab/llava - onevision - qwen2 - 7b - ov](https://huggingface.co/lmms - lab/llava - onevision - qwen2 - 7b - ov) on an unknown dataset.

📚 Documentation

Training and evaluation data

Please check out the dataset for more information.

Training procedure

Please check out our main repository for more information.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e - 05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi - GPU
• num_devices: 4
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• total_eval_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 1.0

Training results

Framework versions

• PEFT 0.4.0
• Transformers 4.40.0
• Pytorch 2.5.1+cu124
• Datasets 2.16.1
• Tokenizers 0.19.1

📄 License

This model is licensed under the Apache 2.0 license.