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Image Classification
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vit
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End of training

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Files changed (5) hide show
  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Feb16_13-03-17_a3d467294ed6/events.out.tfevents.1708088599.a3d467294ed6.8393.2 +3 -0
  4. runs/Feb16_13-03-17_a3d467294ed6/events.out.tfevents.1708093298.a3d467294ed6.8393.3 +3 -0
  5. 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: 0.39375
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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: 1.8582
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- - Accuracy: 0.3937
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  ## Model description
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@@ -64,9 +64,9 @@ 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 | 1.0 | 80 | 1.9932 | 0.2687 |
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- | No log | 2.0 | 160 | 1.8582 | 0.3937 |
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- | No log | 3.0 | 240 | 1.8121 | 0.3937 |
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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: 0.425
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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: 1.7885
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+ - Accuracy: 0.425
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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 | 1.0 | 80 | 1.9740 | 0.3375 |
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+ | No log | 2.0 | 160 | 1.8428 | 0.3937 |
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+ | No log | 3.0 | 240 | 1.7885 | 0.425 |
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  ### Framework versions
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