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segformerSAAD_26Aug_new1 – AI Model by saad7489 | AlphaNeural AI

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saad7489/
segformerSAAD_26Aug_new1

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segformerSAAD_26Aug_new1

This model is a fine-tuned version of nvidia/mit-b0 on the saad7489/SixGUNNew dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2892
eval_mean_iou: 0.7470
eval_mean_accuracy: 0.8404
eval_overall_accuracy: 0.9883
eval_accuracy_BKG: 0.9937
eval_accuracy_Knife: nan
eval_accuracy_Gun: 0.6872
eval_iou_BKG: 0.9882
eval_iou_Knife: nan
eval_iou_Gun: 0.5059
eval_runtime: 3.6938
eval_samples_per_second: 3.79
eval_steps_per_second: 0.271
epoch: 4.0
step: 20

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: 5e-05
train_batch_size: 30
eval_batch_size: 30
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Framework versions

Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1