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MT-bumbling-jazz-110
AmineAllo/MT-bumbling-jazz-110
MT-bumbling-jazz-110 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
- Nov 12, 2023
- Updated
- Nov 12, 2023
- SHA
- 4865d8f1
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. -->
MT-bumbling-jazz-110
This model is a fine-tuned version of toobiza/MT-smart-feather-100 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3325
- Loss Ce: 0.0008
- Loss Bbox: 0.0411
- Cardinality Error: 1.0
- Giou: 93.8060
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Loss Ce | Loss Bbox | Cardinality Error | Giou |
|---|---|---|---|---|---|---|---|
| 3.0324 | 0.21 | 100 | 0.2384 | 0.0006 | 0.0280 | 1.0 | 95.1515 |
| 3.0821 | 0.43 | 200 | 0.2353 | 0.0005 | 0.0270 | 1.0 | 95.0779 |
| 3.1303 | 0.64 | 300 | 0.2509 | 0.0005 | 0.0297 | 1.0 | 94.9938 |
| 3.1438 | 0.85 | 400 | 0.2649 | 0.0004 | 0.0316 | 1.0 | 94.7667 |
| 3.0505 | 1.07 | 500 | 0.3075 | 0.0007 | 0.0368 | 1.0 | 93.9513 |
| 3.3453 | 1.28 | 600 | 0.3260 | 0.0007 | 0.0401 | 1.0 | 93.8608 |
| 2.9246 | 1.49 | 700 | 0.2985 | 0.0009 | 0.0357 | 1.0 | 94.1213 |
| 2.8508 | 1.71 | 800 | 0.2933 | 0.0008 | 0.0349 | 1.0 | 94.1778 |
| 2.9657 | 1.92 | 900 | 0.3315 | 0.0009 | 0.0410 | 1.0 | 93.8321 |
| 3.1487 | 2.13 | 1000 | 0.3340 | 0.0008 | 0.0411 | 1.0 | 93.7168 |
| 3.1254 | 2.35 | 1100 | 0.3098 | 0.0008 | 0.0379 | 1.0 | 94.1191 |
| 2.4966 | 2.56 | 1200 | 0.3171 | 0.0008 | 0.0384 | 1.0 | 93.8997 |
| 2.8596 | 2.77 | 1300 | 0.3294 | 0.0008 | 0.0404 | 1.0 | 93.7750 |
| 3.2516 | 2.99 | 1400 | 0.3325 | 0.0008 | 0.0411 | 1.0 | 93.8060 |
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
- Nov 12, 2023
- Updated
- Nov 12, 2023