detr-resnet-50-hardhat-finetuned-finetuned-gtzan

This model is a fine-tuned version of detr-resnet-50-hardhat-finetuned on the anindya64/hardhat dataset. It achieves the following results on the evaluation set:

• Loss: 1.5325

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 8
• 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: linear
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.55.3
• Pytorch 2.8.0+cu128
• Datasets 3.6.0
• Tokenizers 0.21.2