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Image Classification
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clip
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  1. README.md +25 -28
  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.967032967032967
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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
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1497
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- - Accuracy: 0.9670
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  ## Model description
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@@ -66,31 +66,28 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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- | No log | 0.9655 | 7 | 0.6506 | 0.5824 |
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- | No log | 1.9310 | 14 | 0.3689 | 0.8352 |
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- | 0.5439 | 2.8966 | 21 | 0.1940 | 0.9341 |
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- | 0.5439 | 4.0 | 29 | 0.1185 | 0.9780 |
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- | 0.0961 | 4.9655 | 36 | 0.1345 | 0.9780 |
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- | 0.0961 | 5.9310 | 43 | 0.0828 | 0.9670 |
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- | 0.114 | 6.8966 | 50 | 0.3337 | 0.9451 |
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- | 0.114 | 8.0 | 58 | 0.1176 | 0.9670 |
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- | 0.0106 | 8.9655 | 65 | 0.1484 | 0.9670 |
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- | 0.0106 | 9.9310 | 72 | 0.0991 | 0.9780 |
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- | 0.0609 | 10.8966 | 79 | 0.2071 | 0.9670 |
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- | 0.0609 | 12.0 | 87 | 0.2575 | 0.9341 |
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- | 0.0112 | 12.9655 | 94 | 0.1714 | 0.9451 |
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- | 0.0112 | 13.9310 | 101 | 0.1918 | 0.9451 |
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- | 0.0147 | 14.8966 | 108 | 0.1829 | 0.9670 |
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- | 0.0147 | 16.0 | 116 | 0.3227 | 0.9341 |
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- | 0.0025 | 16.9655 | 123 | 0.1287 | 0.9780 |
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- | 0.0025 | 17.9310 | 130 | 0.1364 | 0.9780 |
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- | 0.0 | 18.8966 | 137 | 0.1446 | 0.9670 |
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- | 0.0 | 20.0 | 145 | 0.1487 | 0.9670 |
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- | 0.0 | 20.9655 | 152 | 0.1499 | 0.9670 |
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- | 0.0 | 21.9310 | 159 | 0.1501 | 0.9670 |
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- | 0.0 | 22.8966 | 166 | 0.1498 | 0.9670 |
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- | 0.0 | 24.0 | 174 | 0.1497 | 0.9670 |
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- | 0.0 | 24.1379 | 175 | 0.1497 | 0.9670 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 1.0
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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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  This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0312
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+ - Accuracy: 1.0
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | No log | 0.8696 | 5 | 0.5871 | 0.7 |
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+ | No log | 1.9130 | 11 | 0.0729 | 0.9667 |
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+ | 0.7676 | 2.9565 | 17 | 0.1986 | 0.9 |
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+ | 0.7676 | 4.0 | 23 | 0.1610 | 0.9 |
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+ | 0.7676 | 4.8696 | 28 | 0.0644 | 0.9667 |
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+ | 0.2441 | 5.9130 | 34 | 0.2016 | 0.9 |
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+ | 0.2441 | 6.9565 | 40 | 0.1530 | 0.9 |
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+ | 0.1751 | 8.0 | 46 | 0.0412 | 1.0 |
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+ | 0.1751 | 8.8696 | 51 | 0.0301 | 1.0 |
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+ | 0.1751 | 9.9130 | 57 | 0.0495 | 0.9667 |
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+ | 0.1156 | 10.9565 | 63 | 0.0283 | 1.0 |
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+ | 0.1156 | 12.0 | 69 | 0.0214 | 1.0 |
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+ | 0.1156 | 12.8696 | 74 | 0.1014 | 0.9667 |
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+ | 0.1238 | 13.9130 | 80 | 0.0538 | 1.0 |
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+ | 0.1238 | 14.9565 | 86 | 0.0477 | 1.0 |
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+ | 0.1064 | 16.0 | 92 | 0.0105 | 1.0 |
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+ | 0.1064 | 16.8696 | 97 | 0.0389 | 0.9667 |
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+ | 0.1064 | 17.9130 | 103 | 0.0120 | 1.0 |
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+ | 0.0862 | 18.9565 | 109 | 0.0183 | 1.0 |
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+ | 0.0862 | 20.0 | 115 | 0.0259 | 1.0 |
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+ | 0.0345 | 20.8696 | 120 | 0.0272 | 1.0 |
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+ | 0.0345 | 21.7391 | 125 | 0.0312 | 1.0 |
 
 
 
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  ### Framework versions
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