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segformer_b0_acouslic_ai – AI Model by Louloubib | AlphaNeural AI
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segformer_b0_acouslic_ai
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transformers
tensorboard
safetensors
segformer
generated_from_trainer
nvidia/mit-b0
finetune
other
endpoints_compatible
us
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segformer_b0_acouslic_ai
This model is a fine-tuned version of
nvidia/mit-b0
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0292
eval_mean_iou: 0.9466
eval_mean_accuracy: 0.9758
eval_overall_accuracy: 0.9876
eval_per_category_iou: [0.9858593533812626, 0.9073101046885074]
eval_per_category_accuracy: [0.9915652346190923, 0.9600865563148626]
eval_runtime: 41.4916
eval_samples_per_second: 14.654
eval_steps_per_second: 7.327
epoch: 1.7570
step: 4800
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: 6e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 50
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
