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beit-base-patch16-224-dmae-va-U5-42C
Augusto777/beit-base-patch16-224-dmae-va-U5-42C
beit-base-patch16-224-dmae-va-U5-42C 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
- b44538c8
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-U5-42C
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: 0.9081
- Accuracy: 0.65
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-06
- 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 | 2.0475 | 0.1 |
| 2.0435 | 1.94 | 15 | 1.8868 | 0.1 |
| 1.9821 | 2.97 | 23 | 1.6588 | 0.1333 |
| 1.7075 | 4.0 | 31 | 1.4345 | 0.3 |
| 1.7075 | 4.9 | 38 | 1.2973 | 0.4 |
| 1.5153 | 5.94 | 46 | 1.2245 | 0.4167 |
| 1.4239 | 6.97 | 54 | 1.1969 | 0.5167 |
| 1.354 | 8.0 | 62 | 1.1733 | 0.4833 |
| 1.354 | 8.9 | 69 | 1.1552 | 0.5167 |
| 1.2885 | 9.94 | 77 | 1.1274 | 0.55 |
| 1.2549 | 10.97 | 85 | 1.1119 | 0.55 |
| 1.2378 | 12.0 | 93 | 1.1023 | 0.5667 |
| 1.1994 | 12.9 | 100 | 1.0860 | 0.5833 |
| 1.1994 | 13.94 | 108 | 1.0694 | 0.6 |
| 1.1535 | 14.97 | 116 | 1.0548 | 0.6167 |
| 1.1354 | 16.0 | 124 | 1.0402 | 0.6167 |
| 1.1031 | 16.9 | 131 | 1.0266 | 0.6167 |
| 1.1031 | 17.94 | 139 | 1.0156 | 0.6167 |
| 1.1006 | 18.97 | 147 | 1.0024 | 0.6167 |
| 1.0655 | 20.0 | 155 | 0.9867 | 0.6167 |
| 1.0439 | 20.9 | 162 | 0.9770 | 0.6167 |
| 1.0335 | 21.94 | 170 | 0.9662 | 0.6 |
| 1.0335 | 22.97 | 178 | 0.9590 | 0.6 |
| 1.0152 | 24.0 | 186 | 0.9504 | 0.6167 |
| 1.01 | 24.9 | 193 | 0.9433 | 0.6333 |
| 0.9779 | 25.94 | 201 | 0.9395 | 0.6333 |
| 0.9779 | 26.97 | 209 | 0.9354 | 0.65 |
| 0.9792 | 28.0 | 217 | 0.9292 | 0.65 |
| 0.9591 | 28.9 | 224 | 0.9257 | 0.65 |
| 0.9643 | 29.94 | 232 | 0.9211 | 0.65 |
| 0.9453 | 30.97 | 240 | 0.9172 | 0.65 |
| 0.9453 | 32.0 | 248 | 0.9150 | 0.65 |
| 0.938 | 32.9 | 255 | 0.9129 | 0.65 |
| 0.9206 | 33.94 | 263 | 0.9105 | 0.65 |
| 0.9412 | 34.97 | 271 | 0.9096 | 0.65 |
| 0.9412 | 36.0 | 279 | 0.9087 | 0.65 |
| 0.9363 | 36.9 | 286 | 0.9083 | 0.65 |
| 0.9356 | 37.94 | 294 | 0.9081 | 0.65 |
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