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testing_303 – AI Model by Transformers123 | AlphaNeural AI
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Transformers123
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testing_303
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transformers
pytorch
segformer
retouch
image-segmentation
generated_from_trainer
endpoints_compatible
us
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testing_303
This model is a fine-tuned version of
mividia/mit-b2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0
Mean Iou: nan
Mean Accuracy: nan
Overall Accuracy: nan
Accuracy Wht: nan
Iou Wht: nan
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Mean Iou
Mean Accuracy
Overall Accuracy
Accuracy Wht
Iou Wht
0.0
1.0
270
0.0
nan
nan
nan
nan
nan
Framework versions
Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3