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sft-geo170k-qa-qwen2-5-vl-3b-epoch20 – AI Model by Daniel21Ding | AlphaNeural AI
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Daniel21Ding
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sft-geo170k-qa-qwen2-5-vl-3b-epoch20
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transformers
safetensors
qwen2_5_vl
image-to-text
llama-factory
full
generated_from_trainer
other
text-generation-inference
endpoints_compatible
us
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This model is a fine-tuned version of
Qwen2.5-VL-3B-Instruct
on the geo170k_qa 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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_batch_size: 32
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: 0.1
num_epochs: 15.0
Training results
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
