File size: 1,219 Bytes
378fd45 f833d8c 378fd45 4ca5d99 378fd45 f833d8c 378fd45 f833d8c 378fd45 4ca5d99 378fd45 4ca5d99 f833d8c 378fd45 105eefc 6451b9d 105eefc 378fd45 39d7703 378fd45 f833d8c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
---
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 |