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-base-patch4-window8-256
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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-base-patch4-window8-256-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-base-patch4-window8-256-finetuned-galaxy10-decals
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This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window8-256](https://huggingface.co/microsoft/swinv2-base-patch4-window8-256) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4876
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- Accuracy: 0.8517
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- Precision: 0.8516
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- Recall: 0.8517
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- F1: 0.8497
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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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| 1.6195 | 0.99 | 62 | 1.4006 | 0.5101 | 0.4910 | 0.5101 | 0.4782 |
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| 0.9423 | 2.0 | 125 | 0.7209 | 0.7616 | 0.7617 | 0.7616 | 0.7531 |
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| 0.8171 | 2.99 | 187 | 0.5842 | 0.8010 | 0.7950 | 0.8010 | 0.7938 |
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| 0.6609 | 4.0 | 250 | 0.5000 | 0.8224 | 0.8159 | 0.8224 | 0.8143 |
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| 0.5927 | 4.99 | 312 | 0.5367 | 0.8191 | 0.8211 | 0.8191 | 0.8184 |
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| 0.624 | 6.0 | 375 | 0.4946 | 0.8286 | 0.8295 | 0.8286 | 0.8212 |
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| 0.5891 | 6.99 | 437 | 0.5068 | 0.8219 | 0.8244 | 0.8219 | 0.8201 |
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| 0.5597 | 8.0 | 500 | 0.5071 | 0.8230 | 0.8382 | 0.8230 | 0.8198 |
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| 0.5292 | 8.99 | 562 | 0.4464 | 0.8444 | 0.8462 | 0.8444 | 0.8426 |
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| 0.5143 | 10.0 | 625 | 0.4556 | 0.8371 | 0.8420 | 0.8371 | 0.8350 |
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| 0.5122 | 10.99 | 687 | 0.4765 | 0.8382 | 0.8433 | 0.8382 | 0.8369 |
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| 0.4647 | 12.0 | 750 | 0.4900 | 0.8365 | 0.8443 | 0.8365 | 0.8348 |
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| 0.4769 | 12.99 | 812 | 0.4639 | 0.8427 | 0.8475 | 0.8427 | 0.8396 |
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| 0.4804 | 14.0 | 875 | 0.4468 | 0.8484 | 0.8499 | 0.8484 | 0.8461 |
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| 0.4452 | 14.99 | 937 | 0.4492 | 0.8512 | 0.8522 | 0.8512 | 0.8505 |
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| 0.4283 | 16.0 | 1000 | 0.4660 | 0.8433 | 0.8446 | 0.8433 | 0.8401 |
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| 0.3788 | 16.99 | 1062 | 0.4689 | 0.8478 | 0.8454 | 0.8478 | 0.8444 |
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| 0.41 | 18.0 | 1125 | 0.4543 | 0.8506 | 0.8502 | 0.8506 | 0.8480 |
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| 0.4007 | 18.99 | 1187 | 0.4766 | 0.8478 | 0.8511 | 0.8478 | 0.8455 |
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| 0.406 | 20.0 | 1250 | 0.4716 | 0.8478 | 0.8474 | 0.8478 | 0.8444 |
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| 0.3777 | 20.99 | 1312 | 0.5026 | 0.8455 | 0.8454 | 0.8455 | 0.8430 |
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| 0.3972 | 22.0 | 1375 | 0.5108 | 0.8393 | 0.8402 | 0.8393 | 0.8371 |
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| 0.3665 | 22.99 | 1437 | 0.4934 | 0.8489 | 0.8498 | 0.8489 | 0.8474 |
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| 0.3569 | 24.0 | 1500 | 0.4989 | 0.8495 | 0.8495 | 0.8495 | 0.8478 |
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| 0.3735 | 24.99 | 1562 | 0.4918 | 0.8495 | 0.8468 | 0.8495 | 0.8468 |
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| 0.3301 | 26.0 | 1625 | 0.4927 | 0.8512 | 0.8512 | 0.8512 | 0.8488 |
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| 0.3438 | 26.99 | 1687 | 0.4829 | 0.8540 | 0.8529 | 0.8540 | 0.8520 |
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| 0.3553 | 28.0 | 1750 | 0.4935 | 0.8540 | 0.8530 | 0.8540 | 0.8512 |
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| 0.3312 | 28.99 | 1812 | 0.4882 | 0.8517 | 0.8509 | 0.8517 | 0.8491 |
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| 0.3319 | 29.76 | 1860 | 0.4876 | 0.8517 | 0.8516 | 0.8517 | 0.8497 |
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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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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 347678296
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version https://git-lfs.github.com/spec/v1
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oid sha256:742a42286c7c8814da9d3ec4996c62a03e952f6c8cd6c83999c7ad8605aed11d
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size 347678296
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