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vit-lr-poly

Image Classification
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Safetensors
vit
Generated from Trainer
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  1. README.md +24 -22
  2. model.safetensors +1 -1
README.md CHANGED
@@ -2,7 +2,6 @@
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224
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  tags:
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- - image-classification
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -19,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-lr-poly
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- This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the skin-cancer dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4955
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- - Accuracy: 0.8336
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- - Precision: 0.8251
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- - Recall: 0.8336
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- - F1: 0.8178
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  ## Model description
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@@ -57,21 +56,24 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 0.629 | 0.31 | 100 | 0.6392 | 0.7670 | 0.7768 | 0.7670 | 0.7567 |
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- | 0.5273 | 0.62 | 200 | 0.7336 | 0.7535 | 0.7571 | 0.7535 | 0.6994 |
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- | 0.7441 | 0.93 | 300 | 0.6108 | 0.7878 | 0.8257 | 0.7878 | 0.7930 |
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- | 0.361 | 1.25 | 400 | 0.5593 | 0.7916 | 0.8101 | 0.7916 | 0.7986 |
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- | 0.3435 | 1.56 | 500 | 0.4955 | 0.8336 | 0.8251 | 0.8336 | 0.8178 |
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- | 0.2947 | 1.87 | 600 | 0.5584 | 0.8006 | 0.8393 | 0.8006 | 0.8016 |
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- | 0.1172 | 2.18 | 700 | 0.6123 | 0.8110 | 0.8264 | 0.8110 | 0.8159 |
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- | 0.234 | 2.49 | 800 | 0.5097 | 0.8304 | 0.8316 | 0.8304 | 0.8276 |
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- | 0.1469 | 2.8 | 900 | 0.4983 | 0.8499 | 0.8559 | 0.8499 | 0.8503 |
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- | 0.0183 | 3.12 | 1000 | 0.6638 | 0.8433 | 0.8439 | 0.8433 | 0.8351 |
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- | 0.0978 | 3.43 | 1100 | 0.6590 | 0.8426 | 0.8554 | 0.8426 | 0.8435 |
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- | 0.0953 | 3.74 | 1200 | 0.7364 | 0.8370 | 0.8354 | 0.8370 | 0.8233 |
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- | 0.0949 | 4.05 | 1300 | 0.6496 | 0.8433 | 0.8406 | 0.8433 | 0.8315 |
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- | 0.0416 | 4.36 | 1400 | 0.6833 | 0.8488 | 0.8473 | 0.8488 | 0.8439 |
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- | 0.0609 | 4.67 | 1500 | 0.7212 | 0.8554 | 0.8555 | 0.8554 | 0.8522 |
 
 
 
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: google/vit-base-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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  # vit-lr-poly
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+ This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8089
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+ - Accuracy: 0.8426
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+ - Precision: 0.8492
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+ - Recall: 0.8426
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+ - F1: 0.8431
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.5905 | 0.31 | 100 | 0.6207 | 0.7788 | 0.7719 | 0.7788 | 0.7700 |
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+ | 0.5605 | 0.62 | 200 | 0.7325 | 0.7621 | 0.7503 | 0.7621 | 0.7152 |
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+ | 0.7068 | 0.93 | 300 | 0.5869 | 0.7920 | 0.8184 | 0.7920 | 0.7952 |
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+ | 0.3773 | 1.25 | 400 | 0.5412 | 0.7854 | 0.8200 | 0.7854 | 0.7964 |
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+ | 0.3501 | 1.56 | 500 | 0.5548 | 0.8214 | 0.8133 | 0.8214 | 0.8029 |
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+ | 0.31 | 1.87 | 600 | 0.6007 | 0.7881 | 0.8345 | 0.7881 | 0.7906 |
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+ | 0.1492 | 2.18 | 700 | 0.4845 | 0.8370 | 0.8433 | 0.8370 | 0.8340 |
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+ | 0.185 | 2.49 | 800 | 0.4501 | 0.8488 | 0.8418 | 0.8488 | 0.8427 |
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+ | 0.2438 | 2.8 | 900 | 0.4976 | 0.8440 | 0.8412 | 0.8440 | 0.8338 |
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+ | 0.0604 | 3.12 | 1000 | 0.5850 | 0.8408 | 0.8425 | 0.8408 | 0.8405 |
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+ | 0.0545 | 3.43 | 1100 | 0.5685 | 0.8492 | 0.8476 | 0.8492 | 0.8445 |
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+ | 0.0719 | 3.74 | 1200 | 0.6311 | 0.8523 | 0.8490 | 0.8523 | 0.8445 |
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+ | 0.0809 | 4.05 | 1300 | 0.5321 | 0.8561 | 0.8515 | 0.8561 | 0.8528 |
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+ | 0.0259 | 4.36 | 1400 | 0.8158 | 0.8408 | 0.8329 | 0.8408 | 0.8288 |
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+ | 0.0586 | 4.67 | 1500 | 0.7028 | 0.8315 | 0.8359 | 0.8315 | 0.8249 |
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+ | 0.0218 | 4.98 | 1600 | 0.8059 | 0.8381 | 0.8380 | 0.8381 | 0.8316 |
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+ | 0.0108 | 5.3 | 1700 | 0.7948 | 0.8474 | 0.8484 | 0.8474 | 0.8470 |
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+ | 0.1129 | 5.61 | 1800 | 0.8089 | 0.8426 | 0.8492 | 0.8426 | 0.8431 |
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  ### Framework versions
model.safetensors CHANGED
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