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segmentation_experiment2 – AI Model by mrpae | AlphaNeural AI
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mrpae
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segmentation_experiment2
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transformers
safetensors
detr
object-detection
generated_from_trainer
facebook/detr-resnet-50
finetune
apache-2.0
endpoints_compatible
us
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segmentation_experiment2
This model is a fine-tuned version of
facebook/detr-resnet-50
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0058
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: 0.0001
train_batch_size: 8
eval_batch_size: 16
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: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3546
1.6
1000
1.2940
1.2118
3.2
2000
1.2191
1.129
4.8
3000
1.1202
1.1204
6.4
4000
1.1027
1.059
8.0
5000
1.0284
1.0167
9.6
6000
1.0003
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
