Downloads · 30 days
8
2% of all-time downloads
deta-resnet-50_finetuned_CSGO
ShaneOD2611/deta-resnet-50_finetuned_CSGO
deta-resnet-50_finetuned_CSGO is a object detection model from ShaneOD2611. Use it when you need objects located in an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
506
Public
Parameters
48.4M
194 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors194 MB · 100%
At a glance
- Task
- Object Detection
- Library
- transformers
- Model type
- deta
- Access
- Public
- Created
- Apr 10, 2024
- Updated
- Apr 10, 2024
- SHA
- 26504a96
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
deta-resnet-50_finetuned_CSGO
This model is a fine-tuned version of jozhang97/deta-resnet-50-24-epochs on an unknown dataset.
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Object Detection
- Library
- transformers
- Type
- deta
- Created
- Apr 10, 2024
- Updated
- Apr 10, 2024