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ShaneOD2611/
conditional-detr-resnet-50_finetuned_CSGO

Name: conditional-detr-resnet-50_finetuned_CSGO
Availability: InStock

generated_from_trainer

microsoft/conditional-detr-resnet-50

finetune

apache-2.0

endpoints_compatible

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conditional-detr-resnet-50_finetuned_CSGO

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

Loss: 0.6509

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.7831	1.0	222	1.7830
1.191	2.0	444	1.1566
1.0365	3.0	666	1.0696
0.975	4.0	888	1.0674
0.9028	5.0	1110	0.9627
0.7875	6.0	1332	0.8937
0.6364	7.0	1554	0.7561
0.6012	8.0	1776	0.7053
0.5471	9.0	1998	0.6739
0.4852	10.0	2220	0.6509

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

ShaneOD2611/conditional-detr-resnet-50_finetuned_CSGO

conditional-detr-resnet-50_finetuned_CSGO

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ShaneOD2611/
conditional-detr-resnet-50_finetuned_CSGO