Model save
Browse files- README.md +98 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: microsoft/swinv2-small-patch4-window16-256
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: swinv2-small-patch4-window16-256-finetuned-galaxy10-decals
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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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# swinv2-small-patch4-window16-256-finetuned-galaxy10-decals
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This model is a fine-tuned version of [microsoft/swinv2-small-patch4-window16-256](https://huggingface.co/microsoft/swinv2-small-patch4-window16-256) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4737
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- Accuracy: 0.8489
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- Precision: 0.8486
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- Recall: 0.8489
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- F1: 0.8472
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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: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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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: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 1.6168 | 0.99 | 62 | 1.3397 | 0.5006 | 0.4880 | 0.5006 | 0.4599 |
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| 0.9396 | 2.0 | 125 | 0.7823 | 0.7463 | 0.7602 | 0.7463 | 0.7410 |
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| 0.782 | 2.99 | 187 | 0.5995 | 0.7948 | 0.7937 | 0.7948 | 0.7885 |
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| 0.6373 | 4.0 | 250 | 0.5227 | 0.8230 | 0.8192 | 0.8230 | 0.8176 |
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| 0.6047 | 4.99 | 312 | 0.5238 | 0.8281 | 0.8272 | 0.8281 | 0.8262 |
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| 0.6143 | 6.0 | 375 | 0.5091 | 0.8348 | 0.8429 | 0.8348 | 0.8298 |
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| 0.5805 | 6.99 | 437 | 0.4921 | 0.8264 | 0.8275 | 0.8264 | 0.8254 |
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| 0.5476 | 8.0 | 500 | 0.4832 | 0.8320 | 0.8409 | 0.8320 | 0.8291 |
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| 0.5333 | 8.99 | 562 | 0.4456 | 0.8501 | 0.8500 | 0.8501 | 0.8477 |
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| 0.5062 | 10.0 | 625 | 0.4493 | 0.8467 | 0.8480 | 0.8467 | 0.8457 |
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| 0.5001 | 10.99 | 687 | 0.4617 | 0.8450 | 0.8468 | 0.8450 | 0.8449 |
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| 0.4572 | 12.0 | 750 | 0.4497 | 0.8467 | 0.8450 | 0.8467 | 0.8449 |
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| 0.4681 | 12.99 | 812 | 0.4588 | 0.8489 | 0.8486 | 0.8489 | 0.8452 |
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| 0.4747 | 14.0 | 875 | 0.4281 | 0.8529 | 0.8554 | 0.8529 | 0.8508 |
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| 0.4283 | 14.99 | 937 | 0.4406 | 0.8602 | 0.8577 | 0.8602 | 0.8585 |
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| 0.4296 | 16.0 | 1000 | 0.4458 | 0.8534 | 0.8512 | 0.8534 | 0.8498 |
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| 0.3734 | 16.99 | 1062 | 0.4623 | 0.8416 | 0.8419 | 0.8416 | 0.8386 |
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| 0.3921 | 18.0 | 1125 | 0.4438 | 0.8517 | 0.8506 | 0.8517 | 0.8496 |
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| 0.3954 | 18.99 | 1187 | 0.4712 | 0.8467 | 0.8487 | 0.8467 | 0.8446 |
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| 0.3995 | 20.0 | 1250 | 0.4648 | 0.8484 | 0.8467 | 0.8484 | 0.8448 |
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| 0.3859 | 20.99 | 1312 | 0.4728 | 0.8495 | 0.8487 | 0.8495 | 0.8462 |
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| 0.4046 | 22.0 | 1375 | 0.4720 | 0.8472 | 0.8467 | 0.8472 | 0.8453 |
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| 0.3651 | 22.99 | 1437 | 0.4837 | 0.8416 | 0.8409 | 0.8416 | 0.8396 |
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| 0.3481 | 24.0 | 1500 | 0.4742 | 0.8540 | 0.8522 | 0.8540 | 0.8524 |
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| 0.3706 | 24.99 | 1562 | 0.4846 | 0.8478 | 0.8477 | 0.8478 | 0.8455 |
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| 0.3278 | 26.0 | 1625 | 0.4798 | 0.8506 | 0.8502 | 0.8506 | 0.8484 |
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| 0.3484 | 26.99 | 1687 | 0.4675 | 0.8529 | 0.8538 | 0.8529 | 0.8520 |
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| 0.3626 | 28.0 | 1750 | 0.4768 | 0.8450 | 0.8446 | 0.8450 | 0.8429 |
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| 0.3324 | 28.99 | 1812 | 0.4725 | 0.8484 | 0.8470 | 0.8484 | 0.8460 |
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| 0.3462 | 29.76 | 1860 | 0.4737 | 0.8489 | 0.8486 | 0.8489 | 0.8472 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.3.0
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- Datasets 2.19.1
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- Tokenizers 0.15.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 195930072
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version https://git-lfs.github.com/spec/v1
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oid sha256:d607735777dbe68cadf64b5e9e2681208cb3cfa02e64e91a45eba389f7700b17
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size 195930072
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