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autoencoder-robust-demo – AI Model by amaye15 | AlphaNeural AI
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autoencoder-robust-demo
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transformers
safetensors
autoencoder
feature-extraction
generated_from_trainer
custom_code
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autoencoder-robust-demo
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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: 0.001
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
3
1.5616
Framework versions
Transformers 4.55.2
Pytorch 2.8.0
Datasets 4.0.0
Tokenizers 0.21.4
