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habibi26
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ktp-not-ktp-clip

Image Classification
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Safetensors
clip
Generated from Trainer
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  1. README.md +22 -27
  2. model.safetensors +1 -1
  3. runs/Jul05_10-06-48_a16bb08805a4/events.out.tfevents.1720174027.a16bb08805a4.34.0 +2 -2
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: 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
@@ -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: 0.0000
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- - Accuracy: 1.0
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  ## Model description
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@@ -66,30 +66,25 @@ 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 | 0.9231 | 6 | 0.2212 | 0.9533 |
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- | No log | 2.0 | 13 | 0.1671 | 0.9579 |
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- | 0.0031 | 2.9231 | 19 | 0.1645 | 0.9626 |
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- | 0.0031 | 4.0 | 26 | 0.0958 | 0.9766 |
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- | 0.1018 | 4.9231 | 32 | 0.0468 | 0.9860 |
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- | 0.1018 | 6.0 | 39 | 0.0092 | 0.9953 |
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- | 0.0279 | 6.9231 | 45 | 0.0505 | 0.9813 |
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- | 0.0279 | 8.0 | 52 | 0.0798 | 0.9860 |
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- | 0.0279 | 8.9231 | 58 | 0.0083 | 0.9953 |
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- | 0.0261 | 10.0 | 65 | 0.2501 | 0.9626 |
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- | 0.0261 | 10.9231 | 71 | 0.1456 | 0.9579 |
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- | 0.0007 | 12.0 | 78 | 0.0000 | 1.0 |
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- | 0.0007 | 12.9231 | 84 | 0.0011 | 1.0 |
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- | 0.0077 | 14.0 | 91 | 0.0233 | 0.9953 |
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- | 0.0077 | 14.9231 | 97 | 0.0463 | 0.9953 |
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- | 0.0077 | 16.0 | 104 | 0.0000 | 1.0 |
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- | 0.0033 | 16.9231 | 110 | 0.0003 | 1.0 |
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- | 0.0033 | 18.0 | 117 | 0.0022 | 1.0 |
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- | 0.0 | 18.9231 | 123 | 0.0004 | 1.0 |
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- | 0.0 | 20.0 | 130 | 0.0000 | 1.0 |
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- | 0.0001 | 20.9231 | 136 | 0.0000 | 1.0 |
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- | 0.0001 | 22.0 | 143 | 0.0000 | 1.0 |
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- | 0.0001 | 22.9231 | 149 | 0.0000 | 1.0 |
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- | 0.0 | 23.0769 | 150 | 0.0000 | 1.0 |
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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: 0.975
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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: 0.0267
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+ - Accuracy: 0.975
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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 | 0.7273 | 2 | 0.6196 | 0.75 |
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+ | No log | 1.8182 | 5 | 0.2383 | 0.975 |
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+ | No log | 2.9091 | 8 | 2.4068 | 0.5 |
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+ | No log | 4.0 | 11 | 0.0973 | 0.95 |
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+ | No log | 4.7273 | 13 | 0.0032 | 1.0 |
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+ | 0.547 | 5.8182 | 16 | 0.1538 | 0.975 |
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+ | 0.547 | 6.9091 | 19 | 0.0003 | 1.0 |
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+ | 0.547 | 8.0 | 22 | 0.0028 | 1.0 |
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+ | 0.547 | 8.7273 | 24 | 0.0092 | 1.0 |
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+ | 0.547 | 9.8182 | 27 | 0.0318 | 0.975 |
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+ | 0.0168 | 10.9091 | 30 | 0.0453 | 0.975 |
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+ | 0.0168 | 12.0 | 33 | 0.0398 | 0.975 |
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+ | 0.0168 | 12.7273 | 35 | 0.0366 | 0.975 |
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+ | 0.0168 | 13.8182 | 38 | 0.0325 | 0.975 |
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+ | 0.0168 | 14.9091 | 41 | 0.0298 | 0.975 |
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+ | 0.0168 | 16.0 | 44 | 0.0280 | 0.975 |
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+ | 0.0 | 16.7273 | 46 | 0.0273 | 0.975 |
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+ | 0.0 | 17.8182 | 49 | 0.0268 | 0.975 |
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+ | 0.0 | 18.1818 | 50 | 0.0267 | 0.975 |
 
 
 
 
 
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  ### Framework versions
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