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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 +15 -15
  2. model.safetensors +1 -1
  3. runs/Jun14_06-48-14_3240730f7033/events.out.tfevents.1718347707.3240730f7033.186.1 +2 -2
README.md CHANGED
@@ -31,7 +31,7 @@ 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: 0.0368
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  - Accuracy: 0.9901
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  ## Model description
@@ -66,20 +66,20 @@ 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 | 3 | 0.5958 | 0.5842 |
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- | No log | 1.8462 | 6 | 0.3044 | 0.9208 |
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- | No log | 2.7692 | 9 | 0.7273 | 0.7129 |
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- | 0.5359 | 4.0 | 13 | 0.0641 | 0.9901 |
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- | 0.5359 | 4.9231 | 16 | 0.0223 | 0.9901 |
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- | 0.5359 | 5.8462 | 19 | 0.0094 | 1.0 |
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- | 0.1299 | 6.7692 | 22 | 0.1034 | 0.9802 |
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- | 0.1299 | 8.0 | 26 | 0.0095 | 0.9901 |
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- | 0.1299 | 8.9231 | 29 | 0.0645 | 0.9901 |
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- | 0.0218 | 9.8462 | 32 | 0.1035 | 0.9901 |
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- | 0.0218 | 10.7692 | 35 | 0.0661 | 0.9901 |
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- | 0.0218 | 12.0 | 39 | 0.0406 | 0.9901 |
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- | 0.0419 | 12.9231 | 42 | 0.0367 | 0.9901 |
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- | 0.0419 | 13.8462 | 45 | 0.0368 | 0.9901 |
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  ### Framework versions
 
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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: 0.0159
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  - Accuracy: 0.9901
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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 | 0.9231 | 3 | 0.0256 | 0.9901 |
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+ | No log | 1.8462 | 6 | 0.0514 | 0.9802 |
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+ | No log | 2.7692 | 9 | 0.1041 | 0.9604 |
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+ | 0.1234 | 4.0 | 13 | 0.0597 | 0.9802 |
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+ | 0.1234 | 4.9231 | 16 | 0.0736 | 0.9802 |
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+ | 0.1234 | 5.8462 | 19 | 0.1338 | 0.9802 |
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+ | 0.0335 | 6.7692 | 22 | 0.1006 | 0.9802 |
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+ | 0.0335 | 8.0 | 26 | 0.0856 | 0.9802 |
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+ | 0.0335 | 8.9231 | 29 | 0.0410 | 0.9703 |
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+ | 0.1078 | 9.8462 | 32 | 0.1247 | 0.9802 |
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+ | 0.1078 | 10.7692 | 35 | 0.1851 | 0.9703 |
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+ | 0.1078 | 12.0 | 39 | 0.0078 | 1.0 |
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+ | 0.0526 | 12.9231 | 42 | 0.0127 | 0.9901 |
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+ | 0.0526 | 13.8462 | 45 | 0.0159 | 0.9901 |
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  ### Framework versions
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runs/Jun14_06-48-14_3240730f7033/events.out.tfevents.1718347707.3240730f7033.186.1 CHANGED
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