|
|
--- |
|
|
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: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# fisheye8k_jozhang97_deta-swin-large |
|
|
|
|
|
This model is a fine-tuned version of [jozhang97/deta-swin-large](https://huggingface.co/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 |
|
|
|
|
|
Mcity Data Engine: https://arxiv.org/abs/2504.21614 |
