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habibi26
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ktp-not-ktp-clip

Image Classification
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Safetensors
clip
Generated from Trainer
Eval Results
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  1. README.md +23 -18
  2. model.safetensors +1 -1
  3. runs/Jul03_09-04-52_199eb666e01e/events.out.tfevents.1719997502.199eb666e01e.34.5 +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: 0.0074
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- - Accuracy: 1.0
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  ## Model description
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@@ -60,26 +60,31 @@ 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: 15
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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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- | No log | 0.9231 | 3 | 0.5222 | 0.6733 |
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- | No log | 1.8462 | 6 | 0.2392 | 0.9208 |
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- | No log | 2.7692 | 9 | 0.1027 | 0.9703 |
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- | 0.4711 | 4.0 | 13 | 0.2471 | 0.8911 |
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- | 0.4711 | 4.9231 | 16 | 0.0559 | 0.9901 |
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- | 0.4711 | 5.8462 | 19 | 0.0441 | 0.9901 |
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- | 0.1979 | 6.7692 | 22 | 0.0818 | 0.9802 |
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- | 0.1979 | 8.0 | 26 | 0.0772 | 0.9802 |
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- | 0.1979 | 8.9231 | 29 | 0.1827 | 0.9703 |
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- | 0.1414 | 9.8462 | 32 | 0.0894 | 0.9802 |
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- | 0.1414 | 10.7692 | 35 | 0.0551 | 0.9802 |
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- | 0.1414 | 12.0 | 39 | 0.0125 | 1.0 |
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- | 0.0699 | 12.9231 | 42 | 0.0119 | 1.0 |
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- | 0.0699 | 13.8462 | 45 | 0.0074 | 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: 0.9880952380952381
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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: 0.0522
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+ - Accuracy: 0.9881
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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: 20
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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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+ | No log | 0.9091 | 5 | 0.3617 | 0.9107 |
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+ | 0.4445 | 2.0 | 11 | 0.0490 | 0.9821 |
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+ | 0.4445 | 2.9091 | 16 | 0.0242 | 0.9940 |
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+ | 0.0923 | 4.0 | 22 | 0.0002 | 1.0 |
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+ | 0.0923 | 4.9091 | 27 | 0.0002 | 1.0 |
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+ | 0.009 | 6.0 | 33 | 0.1968 | 0.9583 |
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+ | 0.009 | 6.9091 | 38 | 0.0650 | 0.9881 |
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+ | 0.0686 | 8.0 | 44 | 0.0310 | 0.9881 |
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+ | 0.0686 | 8.9091 | 49 | 0.0169 | 0.9940 |
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+ | 0.0355 | 10.0 | 55 | 0.0000 | 1.0 |
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+ | 0.0221 | 10.9091 | 60 | 0.0057 | 0.9940 |
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+ | 0.0221 | 12.0 | 66 | 0.0477 | 0.9881 |
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+ | 0.0026 | 12.9091 | 71 | 0.0001 | 1.0 |
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+ | 0.0026 | 14.0 | 77 | 0.0000 | 1.0 |
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+ | 0.0001 | 14.9091 | 82 | 0.0009 | 1.0 |
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+ | 0.0001 | 16.0 | 88 | 0.0289 | 0.9881 |
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+ | 0.0 | 16.9091 | 93 | 0.0465 | 0.9881 |
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+ | 0.0 | 18.0 | 99 | 0.0521 | 0.9881 |
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+ | 0.0 | 18.1818 | 100 | 0.0522 | 0.9881 |
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  ### Framework versions
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