fisheye8k_hustvl_yolos-base
This model is a fine-tuned version of hustvl/yolos-base on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.6653
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: 1
- eval_batch_size: 8
- seed: 0
- 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: cosine
- num_epochs: 36
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9357 | 1.0 | 5288 | 2.7182 |
| 1.8095 | 2.0 | 10576 | 2.6559 |
| 1.6565 | 3.0 | 15864 | 2.5114 |
| 1.5912 | 4.0 | 21152 | 2.6875 |
| 1.6169 | 5.0 | 26440 | 2.7796 |
| 1.5075 | 6.0 | 31728 | 2.6514 |
| 1.4073 | 7.0 | 37016 | 2.7649 |
| 1.3617 | 8.0 | 42304 | 2.6653 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
hustvl/yolos-base