dfine-test – AI Model by davanstrien | AlphaNeural AI | AlphaNeural AI

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davanstrien/
dfine-test

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object-detection

generated_from_trainer

ustc-community/dfine-small-coco

endpoints_compatible

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dfine-test

This model is a fine-tuned version of ustc-community/dfine-small-coco on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.0724

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
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: cosine
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
20.1936	1.0	712	2.6821
19.1183	2.0	1424	2.3533
16.1951	3.0	2136	1.7233
14.4265	4.0	2848	1.9414
14.3184	5.0	3560	2.3461
14.5909	6.0	4272	2.0509
14.6728	7.0	4984	2.0568
14.3686	8.0	5696	2.1048
14.6144	9.0	6408	2.0980
14.4749	10.0	7120	2.0721

Framework versions

Transformers 4.52.0.dev0
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1