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FASHION-vision

Image Classification
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vit
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End of training

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  1. README.md +178 -8
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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- base_model: openai/clip-vit-large-patch14
 
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -14,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # FASHION-vision
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- This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 105.2224
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- - Accuracy: 0.2897
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  ## Model description
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@@ -45,13 +46,182 @@ 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: 1
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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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- | 176.3951 | 1.0 | 375 | 105.2224 | 0.2897 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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+ license: apache-2.0
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+ base_model: google/vit-base-patch32-224-in21k
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # FASHION-vision
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+ This model is a fine-tuned version of [google/vit-base-patch32-224-in21k](https://huggingface.co/google/vit-base-patch32-224-in21k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3997
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+ - Accuracy: 0.9067
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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: 170
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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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+ | 1.8832 | 1.0 | 375 | 1.8439 | 0.6338 |
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+ | 1.0135 | 2.0 | 750 | 1.0339 | 0.7624 |
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+ | 0.7743 | 3.0 | 1125 | 0.7679 | 0.8057 |
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+ | 0.6289 | 4.0 | 1500 | 0.6305 | 0.8285 |
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+ | 0.5332 | 5.0 | 1875 | 0.5465 | 0.8438 |
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+ | 0.4558 | 6.0 | 2250 | 0.5083 | 0.8458 |
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+ | 0.4344 | 7.0 | 2625 | 0.4553 | 0.8518 |
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+ | 0.4183 | 8.0 | 3000 | 0.4187 | 0.8623 |
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+ | 0.3838 | 9.0 | 3375 | 0.3879 | 0.8709 |
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+ | 0.3837 | 10.0 | 3750 | 0.3775 | 0.8685 |
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+ | 0.3494 | 11.0 | 4125 | 0.3737 | 0.8712 |
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+ | 0.3812 | 12.0 | 4500 | 0.3492 | 0.8776 |
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+ | 0.3355 | 13.0 | 4875 | 0.3613 | 0.8733 |
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+ | 0.3676 | 14.0 | 5250 | 0.3523 | 0.8743 |
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+ | 0.2985 | 15.0 | 5625 | 0.3452 | 0.8773 |
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+ | 0.35 | 16.0 | 6000 | 0.3203 | 0.8868 |
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+ | 0.319 | 17.0 | 6375 | 0.3254 | 0.8829 |
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+ | 0.2999 | 18.0 | 6750 | 0.3344 | 0.8822 |
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+ | 0.2792 | 19.0 | 7125 | 0.3247 | 0.8823 |
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+ | 0.278 | 20.0 | 7500 | 0.3267 | 0.8829 |
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+ | 0.2673 | 21.0 | 7875 | 0.3143 | 0.8858 |
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+ | 0.2349 | 22.0 | 8250 | 0.3077 | 0.8915 |
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+ | 0.2339 | 23.0 | 8625 | 0.3237 | 0.8893 |
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+ | 0.244 | 24.0 | 9000 | 0.3048 | 0.8892 |
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+ | 0.2633 | 25.0 | 9375 | 0.3125 | 0.8911 |
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+ | 0.2425 | 26.0 | 9750 | 0.3141 | 0.8899 |
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+ | 0.2234 | 27.0 | 10125 | 0.3178 | 0.8921 |
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+ | 0.2127 | 28.0 | 10500 | 0.3187 | 0.8869 |
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+ | 0.2186 | 29.0 | 10875 | 0.3314 | 0.8848 |
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+ | 0.2152 | 30.0 | 11250 | 0.3261 | 0.8855 |
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+ | 0.1676 | 32.0 | 12000 | 0.3313 | 0.8894 |
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+ | 0.2126 | 33.0 | 12375 | 0.3271 | 0.8897 |
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+ | 0.2166 | 34.0 | 12750 | 0.3262 | 0.8903 |
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+ | 0.0818 | 159.0 | 59625 | 0.4006 | 0.9043 |
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+ | 0.0724 | 164.0 | 61500 | 0.4124 | 0.9066 |
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+ | 0.0643 | 165.0 | 61875 | 0.4051 | 0.9057 |
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+ | 0.0515 | 168.0 | 63000 | 0.3881 | 0.9083 |
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+ | 0.0859 | 169.0 | 63375 | 0.3905 | 0.9098 |
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+ | 0.0799 | 170.0 | 63750 | 0.3997 | 0.9067 |
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  ### Framework versions
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