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segformer-b0-finetuned-fish-almogm – AI Model by AlmogM | AlphaNeural AI
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AlmogM
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segformer-b0-finetuned-fish-almogm
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transformers
pytorch
tensorboard
segformer
image-segmentation
other
endpoints_compatible
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segformer-b0-finetuned-fish-almogm
This model is a fine-tuned version of
nvidia/mit-b0
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0068
eval_mean_iou: 0.4831
eval_mean_accuracy: 1.0000
eval_overall_accuracy: 1.0000
eval_accuracy_background: 1.0000
eval_accuracy_fish: nan
eval_iou_background: 0.9662
eval_iou_fish: 0.0
eval_runtime: 62.449
eval_samples_per_second: 0.801
eval_steps_per_second: 0.4
epoch: 6.46
step: 640
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2
