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tonyassi
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fashion-clothing-decade

Image Classification
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Safetensors
vit
Generated from Trainer
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End of training

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  1. README.md +13 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8451
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- - Accuracy: 0.7485
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  ## Model description
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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: 16
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  - eval_batch_size: 16
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.9496 | 0.98 | 31 | 1.1401 | 0.6766 |
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- | 0.7981 | 2.0 | 63 | 1.0490 | 0.6926 |
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- | 0.6665 | 2.98 | 94 | 1.0096 | 0.6766 |
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- | 0.5422 | 4.0 | 126 | 0.9923 | 0.6886 |
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- | 0.4987 | 4.98 | 157 | 0.9207 | 0.7285 |
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- | 0.447 | 6.0 | 189 | 0.9480 | 0.6866 |
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- | 0.3892 | 6.98 | 220 | 0.9274 | 0.7026 |
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- | 0.3632 | 8.0 | 252 | 0.8786 | 0.7445 |
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- | 0.3886 | 8.98 | 283 | 0.8331 | 0.7645 |
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- | 0.3778 | 9.84 | 310 | 0.8451 | 0.7485 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8707
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+ - Accuracy: 0.7505
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.2495 | 0.98 | 31 | 0.9186 | 0.7305 |
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+ | 0.2302 | 2.0 | 63 | 0.8839 | 0.7265 |
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+ | 0.1951 | 2.98 | 94 | 0.9035 | 0.7006 |
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+ | 0.1658 | 4.0 | 126 | 1.0236 | 0.6986 |
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+ | 0.1796 | 4.98 | 157 | 0.8573 | 0.7246 |
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+ | 0.1592 | 6.0 | 189 | 0.9642 | 0.7086 |
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+ | 0.1523 | 6.98 | 220 | 0.9553 | 0.7046 |
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+ | 0.1531 | 8.0 | 252 | 0.9164 | 0.7425 |
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+ | 0.2108 | 8.98 | 283 | 0.8650 | 0.7505 |
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+ | 0.2468 | 9.84 | 310 | 0.8707 | 0.7505 |
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  ### Framework versions
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