qwen2-vl-video-eval-debug_12288_regression
This model is a fine-tuned version of Qwen/Qwen2-VL-7B-Instruct on an unknown dataset.
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- 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
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 2.18.0
- Tokenizers 0.20.3
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Model tree for Mantis-VL/qwen2-vl-video-eval-debug_12288_regression
Base model
Qwen/Qwen2-VL-7B-Instruct