detr
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1718
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.5147 | 0.1 | 32 | 2.4506 |
2.1248 | 0.2 | 64 | 1.9658 |
1.8119 | 0.31 | 96 | 1.6541 |
1.5421 | 0.41 | 128 | 1.4391 |
1.4124 | 0.51 | 160 | 1.3225 |
1.3227 | 0.61 | 192 | 1.2518 |
1.2811 | 0.72 | 224 | 1.2108 |
1.2499 | 0.82 | 256 | 1.1863 |
1.2102 | 0.92 | 288 | 1.1718 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3
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