| license: apache-2.0 | |
| base_model: lmms-lab/llava-onevision-qwen2-7b-ov | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: aha | |
| results: [] | |
| library_name: peft | |
| language: | |
| - en | |
| pipeline_tag: video-text-to-text | |
| # anon for paper submission | |
| 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. | |
| <!-- ## Model description | |
| More information needed --> | |
| ## 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 |