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qwen2-vl-video-eval_st_bad5k_49152_regression

Text Classification

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qwen2-vl-video-eval_st_bad5k_49152_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 4.46.3
Pytorch 2.5.1+cu124
Datasets 2.18.0
Tokenizers 0.20.3

Downloads last month: 7

Safetensors

Model size

8B params

Tensor type

BF16

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Model tree for Mantis-VL/qwen2-vl-video-eval_st_bad5k_49152_regression

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Qwen/Qwen2-VL-7B

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Qwen/Qwen2-VL-7B-Instruct

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