metadata

library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2-VL-7B-Instruct
tags:
  - generated_from_trainer
model-index:
  - name: qwen2-vl-video-eval_st_bad5k_61440_regression
    results: []

qwen2-vl-video-eval_st_bad5k_61440_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: 7
gradient_accumulation_steps: 9
total_train_batch_size: 63
total_eval_batch_size: 7
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 4.46.3
Pytorch 2.5.1+cu118
Datasets 2.18.0
Tokenizers 0.20.3