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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: microsoft/swinv2-large-patch4-window12-192-22k |
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tags: |
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- image-classification |
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- vision |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: SWIN_Gaudi_v1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SWIN_Gaudi_v1 |
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This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-large-patch4-window12-192-22k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.8090 |
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- Accuracy: 0.2293 |
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- Memory Allocated (gb): 1.84 |
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- Max Memory Allocated (gb): 58.8 |
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- Total Memory Available (gb): 94.62 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.001 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 1024 |
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- total_eval_batch_size: 1024 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06 |
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- lr_scheduler_type: linear |
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- num_epochs: 30.0 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | Memory Allocated (gb) | Allocated (gb) | Memory Available (gb) | |
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|:-------------:|:-----:|:-----:|:--------:|:---------------:|:---------------------:|:--------------:|:---------------------:| |
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| 5.3071 | 1.0 | 657 | 0.0801 | 6.2406 | 60.21 | 3.2 | 94.62 | |
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| 3.1366 | 2.0 | 1314 | 0.1047 | 5.8481 | 60.21 | 3.2 | 94.62 | |
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| 2.6048 | 3.0 | 1971 | 0.1238 | 5.5522 | 60.21 | 3.2 | 94.62 | |
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| 1.9918 | 4.0 | 2628 | 0.1301 | 5.5551 | 60.21 | 3.2 | 94.62 | |
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| 1.8353 | 5.0 | 3285 | 0.1415 | 5.4142 | 60.21 | 3.2 | 94.62 | |
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| 1.7262 | 6.0 | 3942 | 0.1495 | 5.4061 | 60.21 | 3.2 | 94.62 | |
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| 1.5135 | 7.0 | 4599 | 0.1468 | 5.4261 | 60.21 | 3.2 | 94.62 | |
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| 1.4225 | 8.0 | 5256 | 0.1573 | 5.3333 | 60.21 | 3.2 | 94.62 | |
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| 1.354 | 9.0 | 5913 | 0.1638 | 5.2205 | 60.21 | 3.2 | 94.62 | |
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| 1.2511 | 10.0 | 6570 | 0.1708 | 5.2129 | 60.21 | 3.2 | 94.62 | |
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| 1.1742 | 11.0 | 7227 | 0.1724 | 5.2002 | 60.21 | 3.2 | 94.62 | |
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| 1.1342 | 12.0 | 7884 | 0.1782 | 5.1635 | 60.21 | 3.2 | 94.62 | |
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| 1.0711 | 13.0 | 8541 | 0.1779 | 5.1436 | 60.21 | 3.2 | 94.62 | |
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| 0.9971 | 14.0 | 9198 | 0.1817 | 5.1076 | 60.21 | 3.2 | 94.62 | |
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| 0.9774 | 15.0 | 9855 | 0.1935 | 4.9076 | 60.21 | 3.2 | 94.62 | |
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| 0.9174 | 16.0 | 10512 | 0.1890 | 5.0318 | 60.21 | 3.2 | 94.62 | |
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| 0.8675 | 17.0 | 11169 | 0.1951 | 5.0392 | 60.21 | 3.2 | 94.62 | |
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| 0.8499 | 18.0 | 11826 | 0.1978 | 5.0243 | 60.21 | 3.2 | 94.62 | |
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| 0.8262 | 19.0 | 12483 | 0.1972 | 5.0843 | 60.21 | 3.2 | 94.62 | |
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| 0.7623 | 20.0 | 13140 | 0.2048 | 5.0004 | 60.21 | 3.2 | 94.62 | |
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| 0.7481 | 21.0 | 13797 | 0.2132 | 4.8428 | 60.24 | 3.2 | 94.62 | |
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| 0.7284 | 22.0 | 14454 | 0.2149 | 4.8461 | 60.24 | 3.2 | 94.62 | |
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| 0.6834 | 23.0 | 15111 | 0.2159 | 4.8741 | 60.24 | 3.2 | 94.62 | |
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| 0.6591 | 24.0 | 15768 | 0.2187 | 4.8993 | 60.24 | 3.2 | 94.62 | |
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| 0.6447 | 25.0 | 16425 | 0.2196 | 4.8415 | 60.24 | 3.2 | 94.62 | |
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| 0.6107 | 26.0 | 17082 | 0.2216 | 4.8600 | 60.24 | 3.2 | 94.62 | |
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| 0.5958 | 27.0 | 17739 | 0.2245 | 4.8391 | 60.24 | 3.2 | 94.62 | |
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| 0.5836 | 28.0 | 18396 | 0.2265 | 4.8561 | 60.24 | 3.2 | 94.62 | |
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| 0.5547 | 29.0 | 19053 | 0.2295 | 4.7933 | 60.24 | 3.2 | 94.62 | |
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| 0.547 | 30.0 | 19710 | 0.2293 | 4.8090 | 60.24 | 3.2 | 94.62 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.6.0+hpu_1.20.0-543.git4952fce |
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- Datasets 3.5.0 |
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- Tokenizers 0.20.3 |
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