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segformer-head-o1 – AI Model by adwardnguyen | AlphaNeural AI
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adwardnguyen
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segformer-head-o1
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transformers
safetensors
segformer
vision
image-segmentation
generated_from_trainer
nvidia/mit-b0
finetune
other
endpoints_compatible
us
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segformer-head-o1
This model is a fine-tuned version of
nvidia/mit-b0
on the adwardnguyen/face-ds dataset. It achieves the following results on the evaluation set:
Loss: 0.2872
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: 2e-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: 100
Training results
Training Loss
Epoch
Step
Validation Loss
0.2841
20.0
20
0.3039
0.2639
40.0
40
0.3148
0.2576
60.0
60
0.2811
0.2546
80.0
80
0.2840
0.2681
100.0
100
0.2872
Framework versions
Transformers 4.50.1
Pytorch 2.6.0
Datasets 3.4.1
Tokenizers 0.21.1
