Model save
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README.md
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@@ -3,8 +3,6 @@ license: apache-2.0
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base_model: google/vit-base-patch16-224
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: alea
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results: []
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@@ -16,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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# alea
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3987
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- Accuracy: 0.54
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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:
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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 | 0.98 | 8 | 1.
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| 1.7073 | 1.96 | 16 | 1.5100 | 0.315 |
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| 1.5052 | 2.95 | 24 | 1.4322 | 0.48 |
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| 1.4107 | 3.93 | 32 | 1.3987 | 0.54 |
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### Framework versions
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base_model: google/vit-base-patch16-224
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tags:
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- generated_from_trainer
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model-index:
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- name: alea
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results: []
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# alea
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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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: 1
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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 | 0.98 | 8 | 1.2876 | 0.645 |
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### Framework versions
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