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Tapashh
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Image Classification
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Tapashh commited on
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1 Parent(s): 2ab686e

End of training

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Files changed (4) hide show
  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Apr02_07-21-07_151dba3e4e7e/events.out.tfevents.1712042468.151dba3e4e7e.2424.3 +3 -0
  4. training_args.bin +1 -1
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: 0.7115384615384616
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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: 0.7100
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- - Accuracy: 0.7115
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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 | 0.92 | 3 | 0.7610 | 0.7885 |
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- | No log | 1.85 | 6 | 0.7161 | 0.7308 |
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- | No log | 2.77 | 9 | 0.7100 | 0.7115 |
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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: 0.6153846153846154
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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: 0.9681
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+ - Accuracy: 0.6154
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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 | 0.92 | 3 | 1.0331 | 0.7115 |
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+ | No log | 1.85 | 6 | 0.9914 | 0.6154 |
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+ | No log | 2.77 | 9 | 0.9681 | 0.6154 |
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  ### Framework versions
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