End of training
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- pytorch_model.bin +1 -1
README.md
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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.
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- Accuracy: 1.0
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## Model description
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- train_batch_size: 6
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- eval_batch_size: 6
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 24
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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### Framework versions
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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: 0.1320
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- Accuracy: 1.0
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## Model description
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- train_batch_size: 6
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- eval_batch_size: 6
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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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- lr_scheduler_warmup_ratio: 0.1
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 3 | 0.2907 | 1.0 |
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| No log | 2.0 | 6 | 0.3263 | 0.75 |
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| No log | 3.0 | 9 | 0.1912 | 1.0 |
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| No log | 4.0 | 12 | 0.1993 | 1.0 |
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| No log | 5.0 | 15 | 0.1437 | 1.0 |
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| No log | 6.0 | 18 | 0.1236 | 1.0 |
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| 0.175 | 7.0 | 21 | 0.1102 | 1.0 |
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| 0.175 | 8.0 | 24 | 0.0924 | 1.0 |
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| 0.175 | 9.0 | 27 | 0.1220 | 1.0 |
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| 0.175 | 10.0 | 30 | 0.1320 | 1.0 |
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### Framework versions
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pytorch_model.bin
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size 343268717
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