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ricardoSLabs
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jaffe_V2

Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Metrics Community
ricardoSLabs commited on
Commit
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End of training

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Files changed (3) hide show
  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Mar06_21-10-01_c004844b12ce/events.out.tfevents.1741295402.c004844b12ce.18.0 +2 -2
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.375
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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
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8188
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- - Accuracy: 0.375
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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 | 1 | 2.1342 | 0.1562 |
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- | No log | 2.0 | 2 | 2.1053 | 0.1562 |
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- | No log | 3.0 | 3 | 2.0054 | 0.2969 |
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- | No log | 4.0 | 4 | 1.8794 | 0.3594 |
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- | No log | 5.0 | 5 | 1.8188 | 0.375 |
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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: 0.234375
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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 [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9499
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+ - Accuracy: 0.2344
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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 | 1 | 2.1789 | 0.1562 |
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+ | No log | 2.0 | 2 | 2.2850 | 0.1406 |
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+ | No log | 3.0 | 3 | 2.1473 | 0.1562 |
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+ | No log | 4.0 | 4 | 2.0046 | 0.1562 |
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+ | No log | 5.0 | 5 | 1.9499 | 0.2344 |
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  ### Framework versions
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