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Qwen2.5-VL-7B-Instruct-geobench – AI Model by sewilliams | AlphaNeural AI
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sewilliams
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Qwen2.5-VL-7B-Instruct-geobench
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transformers
safetensors
qwen2_5_vl
image-to-text
generated_from_trainer
Qwen/Qwen2.5-VL-7B-Instruct
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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Qwen2.5-VL-7B-Instruct-geobench
This model is a fine-tuned version of
Qwen/Qwen2.5-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: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 50
Framework versions
Transformers 4.52.4
Pytorch 2.8.0.dev20250612+cu128
Datasets 3.6.0
Tokenizers 0.21.1
