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swiftformer-xs-dmae-va-U5-42B
Augusto777/swiftformer-xs-dmae-va-U5-42B
swiftformer-xs-dmae-va-U5-42B is a image classification model from Augusto777. Use it when you need a label for 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
- Image Classification
- Library
- transformers
- Model type
- swiftformer
- Access
- Public
- Created
- Apr 19, 2024
- Updated
- Apr 19, 2024
- SHA
- 942b9431
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. -->
swiftformer-xs-dmae-va-U5-42B
This model is a fine-tuned version of MBZUAI/swiftformer-xs on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7864
- Accuracy: 0.75
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 42
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.9 | 7 | 1.1573 | 0.6167 |
| 1.1018 | 1.94 | 15 | 1.1844 | 0.5667 |
| 1.1018 | 2.97 | 23 | 1.1120 | 0.55 |
| 0.9952 | 4.0 | 31 | 0.9493 | 0.6333 |
| 0.8441 | 4.9 | 38 | 0.9586 | 0.65 |
| 0.8441 | 5.94 | 46 | 1.0176 | 0.6167 |
| 0.7045 | 6.97 | 54 | 0.8787 | 0.6667 |
| 0.5583 | 8.0 | 62 | 1.3863 | 0.5333 |
| 0.5583 | 8.9 | 69 | 0.9727 | 0.6667 |
| 0.457 | 9.94 | 77 | 1.0685 | 0.6167 |
| 0.3699 | 10.97 | 85 | 1.1291 | 0.6667 |
| 0.3699 | 12.0 | 93 | 0.9419 | 0.6667 |
| 0.3095 | 12.9 | 100 | 0.8806 | 0.6333 |
| 0.2544 | 13.94 | 108 | 0.8804 | 0.7167 |
| 0.2544 | 14.97 | 116 | 0.8399 | 0.65 |
| 0.2175 | 16.0 | 124 | 0.8857 | 0.6333 |
| 0.2175 | 16.9 | 131 | 0.9544 | 0.6667 |
| 0.2152 | 17.94 | 139 | 1.0697 | 0.6833 |
| 0.2011 | 18.97 | 147 | 1.0718 | 0.6667 |
| 0.2011 | 20.0 | 155 | 1.0276 | 0.6667 |
| 0.182 | 20.9 | 162 | 0.8614 | 0.6833 |
| 0.1591 | 21.94 | 170 | 0.7872 | 0.6833 |
| 0.1591 | 22.97 | 178 | 1.0134 | 0.65 |
| 0.1557 | 24.0 | 186 | 0.9191 | 0.65 |
| 0.1476 | 24.9 | 193 | 0.8978 | 0.65 |
| 0.1476 | 25.94 | 201 | 0.8872 | 0.7 |
| 0.1587 | 26.97 | 209 | 1.0397 | 0.7 |
| 0.1082 | 28.0 | 217 | 0.9320 | 0.6833 |
| 0.1082 | 28.9 | 224 | 0.8857 | 0.6667 |
| 0.1345 | 29.94 | 232 | 0.8767 | 0.6667 |
| 0.1308 | 30.97 | 240 | 0.8945 | 0.6833 |
| 0.1308 | 32.0 | 248 | 0.9545 | 0.6833 |
| 0.1348 | 32.9 | 255 | 0.9330 | 0.7 |
| 0.1348 | 33.94 | 263 | 0.9131 | 0.7167 |
| 0.1162 | 34.97 | 271 | 0.8424 | 0.7167 |
| 0.1134 | 36.0 | 279 | 0.8275 | 0.6833 |
| 0.1134 | 36.9 | 286 | 0.8106 | 0.7333 |
| 0.1108 | 37.94 | 294 | 0.7864 | 0.75 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- swiftformer
- Created
- Apr 19, 2024
- Updated
- Apr 19, 2024