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margin-element-detector-fm-clean-oath-16
AmineAllo/margin-element-detector-fm-clean-oath-16
margin-element-detector-fm-clean-oath-16 is a object detection model from AmineAllo. 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. --
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At a glance
- Task
- Object Detection
- Library
- transformers
- Model type
- table-transformer
- Access
- Public
- Created
- Oct 28, 2023
- Updated
- Oct 28, 2023
- SHA
- 0376b3b6
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. -->
margin-element-detector-fm-clean-oath-16
This model is a fine-tuned version of toobiza/MT-ancient-spaceship-83 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.9676
- eval_loss_ce: 0.0858
- eval_loss_bbox: 0.0424
- eval_cardinality_error: 0.3683
- eval_giou: 66.5256
- eval_runtime: 47.1617
- eval_samples_per_second: 18.977
- eval_steps_per_second: 4.75
- epoch: 7.53
- step: 17000
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40
Framework versions
- Transformers 4.33.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.13.3
- Task
- Object Detection
- Library
- transformers
- Type
- table-transformer
- Created
- Oct 28, 2023
- Updated
- Oct 28, 2023