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: google/vit-large-patch16-224
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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: vit-large-patch16-224-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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# vit-large-patch16-224-finetuned-galaxy10-decals
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This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6398
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- Accuracy: 0.8534
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- Precision: 0.8513
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- Recall: 0.8534
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- F1: 0.8511
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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: 0.0001
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 512
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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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| 1.0358 | 0.99 | 31 | 0.7598 | 0.7362 | 0.7425 | 0.7362 | 0.7266 |
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| 0.6822 | 1.98 | 62 | 0.6136 | 0.7920 | 0.7972 | 0.7920 | 0.7899 |
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| 0.6535 | 2.98 | 93 | 0.5416 | 0.8106 | 0.8140 | 0.8106 | 0.8062 |
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| 0.5696 | 4.0 | 125 | 0.5305 | 0.8162 | 0.8195 | 0.8162 | 0.8140 |
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| 0.5435 | 4.99 | 156 | 0.5555 | 0.8145 | 0.8242 | 0.8145 | 0.8161 |
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| 0.4621 | 5.98 | 187 | 0.5075 | 0.8298 | 0.8344 | 0.8298 | 0.8254 |
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| 0.4479 | 6.98 | 218 | 0.5118 | 0.8281 | 0.8291 | 0.8281 | 0.8269 |
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| 0.4318 | 8.0 | 250 | 0.5164 | 0.8196 | 0.8255 | 0.8196 | 0.8166 |
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| 0.4011 | 8.99 | 281 | 0.5087 | 0.8410 | 0.8369 | 0.8410 | 0.8362 |
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| 0.355 | 9.98 | 312 | 0.5063 | 0.8410 | 0.8433 | 0.8410 | 0.8405 |
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| 0.3655 | 10.98 | 343 | 0.5419 | 0.8326 | 0.8343 | 0.8326 | 0.8305 |
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| 0.3292 | 12.0 | 375 | 0.5134 | 0.8439 | 0.8442 | 0.8439 | 0.8415 |
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| 0.3207 | 12.99 | 406 | 0.6285 | 0.8185 | 0.8293 | 0.8185 | 0.8178 |
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| 0.2931 | 13.98 | 437 | 0.5627 | 0.8382 | 0.8395 | 0.8382 | 0.8371 |
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| 0.2817 | 14.98 | 468 | 0.6059 | 0.8207 | 0.8278 | 0.8207 | 0.8215 |
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| 0.2713 | 16.0 | 500 | 0.6140 | 0.8382 | 0.8367 | 0.8382 | 0.8337 |
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| 0.233 | 16.99 | 531 | 0.5992 | 0.8382 | 0.8384 | 0.8382 | 0.8374 |
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| 0.2313 | 17.98 | 562 | 0.6679 | 0.8292 | 0.8343 | 0.8292 | 0.8278 |
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| 0.223 | 18.98 | 593 | 0.6501 | 0.8343 | 0.8386 | 0.8343 | 0.8347 |
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| 0.2126 | 20.0 | 625 | 0.6731 | 0.8343 | 0.8304 | 0.8343 | 0.8296 |
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| 0.2078 | 20.99 | 656 | 0.6335 | 0.8388 | 0.8410 | 0.8388 | 0.8383 |
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| 0.201 | 21.98 | 687 | 0.6120 | 0.8506 | 0.8478 | 0.8506 | 0.8485 |
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| 0.2045 | 22.98 | 718 | 0.6590 | 0.8410 | 0.8389 | 0.8410 | 0.8371 |
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| 0.1759 | 24.0 | 750 | 0.6478 | 0.8489 | 0.8464 | 0.8489 | 0.8457 |
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| 0.1856 | 24.99 | 781 | 0.6604 | 0.8444 | 0.8413 | 0.8444 | 0.8420 |
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| 0.1766 | 25.98 | 812 | 0.6922 | 0.8501 | 0.8491 | 0.8501 | 0.8484 |
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| 0.1841 | 26.98 | 843 | 0.6485 | 0.8501 | 0.8493 | 0.8501 | 0.8486 |
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| 0.1707 | 28.0 | 875 | 0.6393 | 0.8467 | 0.8440 | 0.8467 | 0.8446 |
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| 0.1792 | 28.99 | 906 | 0.6404 | 0.8551 | 0.8525 | 0.8551 | 0.8526 |
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| 0.1713 | 29.76 | 930 | 0.6398 | 0.8534 | 0.8513 | 0.8534 | 0.8511 |
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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 1213294072
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version https://git-lfs.github.com/spec/v1
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oid sha256:52018562f0f4b0a9055a15e64f6aa10aceb7c4cb76f4f742ce0672654d2e8c63
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size 1213294072
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