detr-resnet-50_finetuned_csgo

This model is a fine-tuned version of arielb30/detr-resnet-50_finetuned_csgo on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9204

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: 16
• 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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9375	0.8230	200	0.9884
0.9233	1.6461	400	0.9462
0.9256	2.4691	600	0.9453
0.8885	3.2922	800	0.9669
0.898	4.1152	1000	0.9314
0.8739	4.9383	1200	0.9204

Framework versions

• Transformers 4.50.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1