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darpa_ir-f8v2-person-mask2former-swinb-v4 – AI Model by james-emi | AlphaNeural AI
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darpa_ir-f8v2-person-mask2former-swinb-v4
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transformers
safetensors
mask2former
generated_from_trainer
facebook/mask2former-swin-base-coco-instance
finetune
other
endpoints_compatible
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darpa_ir-f8v2-person-mask2former-swinb-v4
This model is a fine-tuned version of
facebook/mask2former-swin-base-coco-instance
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
num_epochs: 60.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.55.1
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.4
