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Dimasnoufal
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image_classification

Image Classification
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vit
Generated from Trainer
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End of training

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Files changed (3) hide show
  1. README.md +14 -7
  2. model.safetensors +1 -1
  3. runs/Feb09_09-15-16_481290d6d8e1/events.out.tfevents.1707470497.481290d6d8e1.838.3 +3 -0
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.45
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5910
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- - Accuracy: 0.45
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  ## Model description
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  - seed: 42
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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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- - num_epochs: 3
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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 | 1.0 | 45 | 1.8264 | 0.35 |
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- | No log | 2.0 | 90 | 1.6626 | 0.3875 |
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- | No log | 3.0 | 135 | 1.5806 | 0.4 |
 
 
 
 
 
 
 
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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: 0.55
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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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2360
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+ - Accuracy: 0.55
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 10
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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 | 1.0 | 45 | 1.4428 | 0.4375 |
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+ | No log | 2.0 | 90 | 1.3659 | 0.45 |
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+ | No log | 3.0 | 135 | 1.2604 | 0.55 |
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+ | No log | 4.0 | 180 | 1.2461 | 0.5125 |
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+ | No log | 5.0 | 225 | 1.0874 | 0.6625 |
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+ | No log | 6.0 | 270 | 1.1792 | 0.6 |
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+ | No log | 7.0 | 315 | 1.1221 | 0.625 |
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+ | No log | 8.0 | 360 | 1.1956 | 0.5625 |
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+ | No log | 9.0 | 405 | 1.1681 | 0.5875 |
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+ | No log | 10.0 | 450 | 1.2151 | 0.575 |
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  ### Framework versions
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runs/Feb09_09-15-16_481290d6d8e1/events.out.tfevents.1707470497.481290d6d8e1.838.3 ADDED
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