hkivancoral
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End of training
Browse files- README.md +125 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: microsoft/beit-base-patch16-224
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: smids_3x_beit_base_sgd_001_fold1
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: test
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.34056761268781305
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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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# smids_3x_beit_base_sgd_001_fold1
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2142
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- Accuracy: 0.3406
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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: 1e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 1.3018 | 1.0 | 226 | 1.3497 | 0.3088 |
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| 1.233 | 2.0 | 452 | 1.3433 | 0.3105 |
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| 1.2502 | 3.0 | 678 | 1.3371 | 0.3122 |
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| 1.2877 | 4.0 | 904 | 1.3312 | 0.3088 |
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| 1.2473 | 5.0 | 1130 | 1.3254 | 0.3072 |
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| 1.2074 | 6.0 | 1356 | 1.3198 | 0.3088 |
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| 1.2425 | 7.0 | 1582 | 1.3144 | 0.3088 |
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| 1.2061 | 8.0 | 1808 | 1.3093 | 0.3072 |
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| 1.1665 | 9.0 | 2034 | 1.3043 | 0.3105 |
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| 1.2345 | 10.0 | 2260 | 1.2993 | 0.3139 |
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| 1.169 | 11.0 | 2486 | 1.2948 | 0.3139 |
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| 1.1772 | 12.0 | 2712 | 1.2903 | 0.3139 |
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| 1.2448 | 13.0 | 2938 | 1.2861 | 0.3172 |
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| 1.1958 | 14.0 | 3164 | 1.2819 | 0.3205 |
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| 1.1284 | 15.0 | 3390 | 1.2779 | 0.3222 |
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| 1.1355 | 16.0 | 3616 | 1.2740 | 0.3222 |
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| 1.1754 | 17.0 | 3842 | 1.2702 | 0.3222 |
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| 1.1535 | 18.0 | 4068 | 1.2665 | 0.3239 |
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| 1.1762 | 19.0 | 4294 | 1.2631 | 0.3255 |
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| 1.2186 | 20.0 | 4520 | 1.2598 | 0.3255 |
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| 1.1196 | 21.0 | 4746 | 1.2566 | 0.3272 |
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| 1.1702 | 22.0 | 4972 | 1.2535 | 0.3255 |
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| 1.1389 | 23.0 | 5198 | 1.2506 | 0.3255 |
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| 1.1587 | 24.0 | 5424 | 1.2478 | 0.3289 |
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| 1.1561 | 25.0 | 5650 | 1.2450 | 0.3306 |
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| 1.1709 | 26.0 | 5876 | 1.2425 | 0.3322 |
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| 1.1654 | 27.0 | 6102 | 1.2400 | 0.3322 |
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| 1.1373 | 28.0 | 6328 | 1.2376 | 0.3339 |
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| 1.1306 | 29.0 | 6554 | 1.2354 | 0.3339 |
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| 1.1454 | 30.0 | 6780 | 1.2333 | 0.3356 |
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| 1.1141 | 31.0 | 7006 | 1.2313 | 0.3322 |
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| 1.1582 | 32.0 | 7232 | 1.2295 | 0.3339 |
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| 1.1347 | 33.0 | 7458 | 1.2277 | 0.3339 |
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| 1.1265 | 34.0 | 7684 | 1.2261 | 0.3356 |
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| 1.1205 | 35.0 | 7910 | 1.2245 | 0.3356 |
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| 1.122 | 36.0 | 8136 | 1.2231 | 0.3356 |
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| 1.1483 | 37.0 | 8362 | 1.2218 | 0.3372 |
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| 1.1233 | 38.0 | 8588 | 1.2206 | 0.3389 |
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| 1.1213 | 39.0 | 8814 | 1.2195 | 0.3389 |
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| 1.0703 | 40.0 | 9040 | 1.2185 | 0.3389 |
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| 1.1268 | 41.0 | 9266 | 1.2176 | 0.3389 |
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| 1.082 | 42.0 | 9492 | 1.2169 | 0.3406 |
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| 1.0999 | 43.0 | 9718 | 1.2162 | 0.3406 |
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| 1.1354 | 44.0 | 9944 | 1.2156 | 0.3406 |
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| 1.1066 | 45.0 | 10170 | 1.2151 | 0.3406 |
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| 1.1669 | 46.0 | 10396 | 1.2148 | 0.3406 |
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| 1.1433 | 47.0 | 10622 | 1.2145 | 0.3406 |
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| 1.1581 | 48.0 | 10848 | 1.2143 | 0.3406 |
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| 1.1184 | 49.0 | 11074 | 1.2142 | 0.3406 |
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| 1.1092 | 50.0 | 11300 | 1.2142 | 0.3406 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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pytorch_model.bin
CHANGED
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 343133766
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0860c155ba58f4c6b6cef00d4dda9356b86171ed15869c9e79716b2b9c5fa33
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size 343133766
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