trainer_output
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: 0.8925
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: 5e-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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 375 | 1.5167 |
| 5.4733 | 2.0 | 750 | 1.3999 |
| 1.3923 | 3.0 | 1125 | 1.2187 |
| 1.2545 | 4.0 | 1500 | 1.1286 |
| 1.2545 | 5.0 | 1875 | 1.0867 |
| 1.1242 | 6.0 | 2250 | 1.0562 |
| 1.0583 | 7.0 | 2625 | 0.9958 |
| 0.9523 | 8.0 | 3000 | 0.9276 |
| 0.9523 | 9.0 | 3375 | 0.9194 |
| 0.9123 | 10.0 | 3750 | 0.9194 |
Framework versions
- Transformers 5.5.4
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2
- Downloads last month
- 1
Model tree for Lollover/trainer_output
Base model
microsoft/conditional-detr-resnet-50