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beit-base-patch16-224-dmae-va-U5-42B
Augusto777/beit-base-patch16-224-dmae-va-U5-42B
beit-base-patch16-224-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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- beit
- Access
- Public
- Created
- Apr 20, 2024
- Updated
- Apr 20, 2024
- SHA
- e43bd24f
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. -->
beit-base-patch16-224-dmae-va-U5-42B
This model is a fine-tuned version of microsoft/beit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1619
- Accuracy: 0.5167
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: 0.0015
- 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 | 1.2389 | 0.45 |
| 1.5474 | 1.94 | 15 | 1.2573 | 0.4667 |
| 1.4502 | 2.97 | 23 | 1.4267 | 0.2667 |
| 1.343 | 4.0 | 31 | 1.3320 | 0.1833 |
| 1.343 | 4.9 | 38 | 1.3385 | 0.4 |
| 1.2875 | 5.94 | 46 | 1.3633 | 0.3167 |
| 1.3121 | 6.97 | 54 | 1.4097 | 0.2 |
| 1.3669 | 8.0 | 62 | 1.3222 | 0.3167 |
| 1.3669 | 8.9 | 69 | 1.2321 | 0.4333 |
| 1.294 | 9.94 | 77 | 1.2933 | 0.4 |
| 1.2646 | 10.97 | 85 | 1.2691 | 0.4 |
| 1.2352 | 12.0 | 93 | 1.2749 | 0.4333 |
| 1.1953 | 12.9 | 100 | 1.1975 | 0.4833 |
| 1.1953 | 13.94 | 108 | 1.3215 | 0.45 |
| 1.2519 | 14.97 | 116 | 1.2561 | 0.3833 |
| 1.1971 | 16.0 | 124 | 1.3446 | 0.3667 |
| 1.204 | 16.9 | 131 | 1.2449 | 0.35 |
| 1.204 | 17.94 | 139 | 1.2131 | 0.4333 |
| 1.1334 | 18.97 | 147 | 1.2282 | 0.3667 |
| 1.1345 | 20.0 | 155 | 1.2902 | 0.3 |
| 1.1168 | 20.9 | 162 | 1.1619 | 0.5167 |
| 1.0866 | 21.94 | 170 | 1.1868 | 0.4667 |
| 1.0866 | 22.97 | 178 | 1.2290 | 0.4333 |
| 1.0751 | 24.0 | 186 | 1.1980 | 0.4167 |
| 1.0122 | 24.9 | 193 | 1.1744 | 0.45 |
| 0.9719 | 25.94 | 201 | 1.2401 | 0.4 |
| 0.9719 | 26.97 | 209 | 1.1908 | 0.4333 |
| 0.9418 | 28.0 | 217 | 1.2830 | 0.4167 |
| 0.8875 | 28.9 | 224 | 1.2310 | 0.4333 |
| 0.8961 | 29.94 | 232 | 1.2579 | 0.4667 |
| 0.7788 | 30.97 | 240 | 1.4248 | 0.4833 |
| 0.7788 | 32.0 | 248 | 1.3387 | 0.45 |
| 0.7828 | 32.9 | 255 | 1.3085 | 0.4667 |
| 0.696 | 33.94 | 263 | 1.3884 | 0.4833 |
| 0.6859 | 34.97 | 271 | 1.3446 | 0.5 |
| 0.6859 | 36.0 | 279 | 1.4850 | 0.45 |
| 0.6036 | 36.9 | 286 | 1.4519 | 0.4667 |
| 0.5565 | 37.94 | 294 | 1.4544 | 0.4667 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- beit
- License
- apache-2.0
- Created
- Apr 20, 2024
- Updated
- Apr 20, 2024