detr-resnet-101-CD45RB-1000-att-e4

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

• Loss: 4.6218

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: 0.001
• 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss
5.9448	1.0	94	4.6466
4.6291	2.0	188	4.6218

Framework versions

• Transformers 4.26.1
• Pytorch 2.0.0.dev20230107
• Datasets 2.10.0
• Tokenizers 0.13.2