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0.50-200Train-100Test-swinv2-base

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End of training

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  1. README.md +22 -15
  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 [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8692
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- - Accuracy: 0.8218
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  ## Model description
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@@ -46,22 +46,29 @@ The following hyperparameters were used during training:
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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: 10
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 1.4079 | 0.9931 | 36 | 0.8584 | 0.7266 |
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- | 0.4802 | 1.9862 | 72 | 0.6626 | 0.7886 |
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- | 0.218 | 2.9793 | 108 | 0.7199 | 0.7904 |
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- | 0.1184 | 4.0 | 145 | 0.7587 | 0.8096 |
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- | 0.0531 | 4.9931 | 181 | 0.7530 | 0.8157 |
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- | 0.0579 | 5.9862 | 217 | 0.7707 | 0.8070 |
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- | 0.031 | 6.9793 | 253 | 0.8554 | 0.8262 |
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- | 0.0094 | 8.0 | 290 | 0.8697 | 0.8122 |
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- | 0.0131 | 8.9931 | 326 | 0.8843 | 0.8227 |
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- | 0.0128 | 9.9310 | 360 | 0.8692 | 0.8218 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1459
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+ - Accuracy: 0.8183
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  ## Model description
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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: 17
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | 1.7214 | 0.9931 | 36 | 1.0786 | 0.6515 |
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+ | 0.6184 | 1.9862 | 72 | 0.7491 | 0.7651 |
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+ | 0.357 | 2.9793 | 108 | 0.7632 | 0.7764 |
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+ | 0.2085 | 4.0 | 145 | 0.8125 | 0.7860 |
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+ | 0.1343 | 4.9931 | 181 | 0.7920 | 0.7974 |
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+ | 0.0641 | 5.9862 | 217 | 0.8851 | 0.7860 |
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+ | 0.0515 | 6.9793 | 253 | 1.0784 | 0.7817 |
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+ | 0.041 | 8.0 | 290 | 1.0600 | 0.7965 |
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+ | 0.0338 | 8.9931 | 326 | 1.0860 | 0.8131 |
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+ | 0.013 | 9.9862 | 362 | 1.0956 | 0.8148 |
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+ | 0.016 | 10.9793 | 398 | 1.2115 | 0.7991 |
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+ | 0.0154 | 12.0 | 435 | 1.1470 | 0.8105 |
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+ | 0.011 | 12.9931 | 471 | 1.1045 | 0.8105 |
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+ | 0.0027 | 13.9862 | 507 | 1.1310 | 0.8096 |
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+ | 0.0042 | 14.9793 | 543 | 1.1808 | 0.8227 |
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+ | 0.0016 | 16.0 | 580 | 1.1575 | 0.8157 |
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+ | 0.0007 | 16.8828 | 612 | 1.1459 | 0.8183 |
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  ### Framework versions
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