metadata
library_name: transformers
base_model: jozhang97/deta-swin-large
tags:
- generated_from_trainer
datasets:
- Voxel51/fisheye8k
model-index:
- name: fisheye8k_jozhang97_deta-swin-large
results: []
fisheye8k_jozhang97_deta-swin-large
This model is a fine-tuned version of jozhang97/deta-swin-large on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 17.9701
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 |
|---|---|---|---|
| 13.7551 | 1.0 | 5288 | 17.5573 |
| 12.6537 | 2.0 | 10576 | 17.4879 |
| 12.023 | 3.0 | 15864 | 17.6520 |
| 11.4167 | 4.0 | 21152 | 18.5138 |
| 10.8161 | 5.0 | 26440 | 17.7264 |
| 10.5346 | 6.0 | 31728 | 17.9145 |
| 10.1203 | 7.0 | 37016 | 17.9701 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0