unet-efficientnet-b3-malaria-trophozoites-wbc
Browse files- README.md +105 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: unet-efficientnet-b3-malaria-trophozoites-wbc
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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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# unet-efficientnet-b3-malaria-trophozoites-wbc
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1498
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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: 0.003
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| No log | 1.0 | 484 | 0.1881 |
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| 0.6202 | 2.0 | 968 | 0.1806 |
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| 0.1542 | 3.0 | 1452 | 0.1813 |
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| 0.1496 | 4.0 | 1936 | 0.1782 |
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| 0.1417 | 5.0 | 2420 | 0.1692 |
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| 0.1435 | 6.0 | 2904 | 0.1737 |
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| 0.1388 | 7.0 | 3388 | 0.1655 |
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| 0.1369 | 8.0 | 3872 | 0.1672 |
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| 0.1359 | 9.0 | 4356 | 0.1630 |
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| 0.1377 | 10.0 | 4840 | 0.1619 |
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| 0.136 | 11.0 | 5324 | 0.1662 |
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| 0.1309 | 12.0 | 5808 | 0.2284 |
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| 0.1321 | 13.0 | 6292 | 0.1591 |
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| 0.1295 | 14.0 | 6776 | 0.1597 |
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| 0.1308 | 15.0 | 7260 | 0.1802 |
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| 0.1308 | 16.0 | 7744 | 0.1629 |
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| 0.1304 | 17.0 | 8228 | 0.1576 |
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| 0.1298 | 18.0 | 8712 | 0.1658 |
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| 0.1262 | 19.0 | 9196 | 0.1542 |
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| 0.1267 | 20.0 | 9680 | 0.1594 |
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| 0.1282 | 21.0 | 10164 | 0.1560 |
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| 0.1259 | 22.0 | 10648 | 0.1605 |
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| 0.1301 | 23.0 | 11132 | 0.1538 |
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| 0.124 | 24.0 | 11616 | 0.1535 |
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| 0.1241 | 25.0 | 12100 | 0.1566 |
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| 0.1237 | 26.0 | 12584 | 0.1554 |
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| 0.1291 | 27.0 | 13068 | 0.1531 |
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| 0.1233 | 28.0 | 13552 | 0.1543 |
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| 0.1235 | 29.0 | 14036 | 0.1538 |
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| 0.1247 | 30.0 | 14520 | 0.1527 |
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| 0.1255 | 31.0 | 15004 | 0.1622 |
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| 0.1255 | 32.0 | 15488 | 0.1549 |
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| 0.1236 | 33.0 | 15972 | 0.1527 |
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| 0.1246 | 34.0 | 16456 | 0.1522 |
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| 0.1233 | 35.0 | 16940 | 0.1535 |
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| 0.1237 | 36.0 | 17424 | 0.1524 |
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| 0.1252 | 37.0 | 17908 | 0.1510 |
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| 0.1201 | 38.0 | 18392 | 0.1514 |
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| 0.1263 | 39.0 | 18876 | 0.1521 |
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| 0.1221 | 40.0 | 19360 | 0.1525 |
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| 0.1213 | 41.0 | 19844 | 0.1514 |
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| 0.1193 | 42.0 | 20328 | 0.1504 |
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| 0.1216 | 43.0 | 20812 | 0.1502 |
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| 0.1223 | 44.0 | 21296 | 0.1506 |
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| 0.1198 | 45.0 | 21780 | 0.1508 |
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| 0.1208 | 46.0 | 22264 | 0.1500 |
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| 0.1233 | 47.0 | 22748 | 0.1502 |
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| 0.1176 | 48.0 | 23232 | 0.1495 |
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| 0.1225 | 49.0 | 23716 | 0.1499 |
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| 0.1212 | 50.0 | 24200 | 0.1498 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.0
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- Tokenizers 0.21.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ead74824c4ec8ad96a5e8016a164364639228b08df82b5afd7e7c60b9bebb81
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size 53059184
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:652f86c7525942f46aa794eb8420ee1ff54d8c8801c27c627337cad35b4cda64
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size 5368
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