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detr-fashionpedia-finetune – AI Model by AlbertUnn | AlphaNeural AI
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AlbertUnn
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detr-fashionpedia-finetune
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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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detr-fashionpedia-finetune
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: 1.0765
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 8
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.1505
1.0
375
1.8976
1.6779
2.0
750
1.6688
1.6621
3.0
1125
1.5830
1.4466
4.0
1500
1.4593
1.3566
5.0
1875
1.3623
1.2979
6.0
2250
1.2112
1.1717
7.0
2625
1.1591
1.1899
8.0
3000
1.1542
Framework versions
Transformers 5.5.4
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2
