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Browse files- README.md +99 -0
- pytorch_model.bin +1 -1
README.md
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---
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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: vit-base-patch16-224-dmae-va-da-40B
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results: []
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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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should probably proofread and complete it, then remove this comment. -->
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# vit-base-patch16-224-dmae-va-da-40B
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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: 0.2407
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- Accuracy: 0.8837
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: 40
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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 | 0.92 | 3 | 1.4669 | 0.3256 |
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| No log | 1.85 | 6 | 1.2689 | 0.4419 |
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| No log | 2.77 | 9 | 1.1591 | 0.4651 |
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| 1.3901 | 4.0 | 13 | 0.9778 | 0.5814 |
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| 1.3901 | 4.92 | 16 | 0.8885 | 0.6512 |
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| 1.3901 | 5.85 | 19 | 0.7885 | 0.6512 |
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| 0.9794 | 6.77 | 22 | 0.6854 | 0.7442 |
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| 0.9794 | 8.0 | 26 | 0.5822 | 0.7674 |
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| 0.9794 | 8.92 | 29 | 0.4929 | 0.8605 |
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| 0.6573 | 9.85 | 32 | 0.4822 | 0.8605 |
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| 0.6573 | 10.77 | 35 | 0.4529 | 0.8372 |
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| 0.6573 | 12.0 | 39 | 0.4203 | 0.7907 |
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| 0.4166 | 12.92 | 42 | 0.3889 | 0.8605 |
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| 0.4166 | 13.85 | 45 | 0.3697 | 0.8605 |
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| 0.4166 | 14.77 | 48 | 0.3991 | 0.8140 |
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| 0.3376 | 16.0 | 52 | 0.3038 | 0.9070 |
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| 0.3376 | 16.92 | 55 | 0.3139 | 0.8837 |
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| 0.3376 | 17.85 | 58 | 0.2821 | 0.8837 |
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| 0.191 | 18.77 | 61 | 0.2905 | 0.8837 |
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| 0.191 | 20.0 | 65 | 0.2616 | 0.8605 |
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| 0.191 | 20.92 | 68 | 0.2636 | 0.8837 |
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| 0.2065 | 21.85 | 71 | 0.2864 | 0.9070 |
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| 0.2065 | 22.77 | 74 | 0.2833 | 0.8605 |
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| 0.2065 | 24.0 | 78 | 0.2507 | 0.9070 |
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| 0.1328 | 24.92 | 81 | 0.2890 | 0.8837 |
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| 0.1328 | 25.85 | 84 | 0.3065 | 0.8837 |
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| 0.1328 | 26.77 | 87 | 0.2891 | 0.8837 |
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| 0.1065 | 28.0 | 91 | 0.2815 | 0.8837 |
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| 0.1065 | 28.92 | 94 | 0.2753 | 0.8837 |
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| 0.1065 | 29.85 | 97 | 0.2768 | 0.8837 |
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| 0.1122 | 30.77 | 100 | 0.2864 | 0.8837 |
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| 0.1122 | 32.0 | 104 | 0.2563 | 0.9070 |
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| 0.1122 | 32.92 | 107 | 0.2421 | 0.9302 |
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| 0.0879 | 33.85 | 110 | 0.2453 | 0.9070 |
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| 0.0879 | 34.77 | 113 | 0.2434 | 0.8837 |
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| 0.0879 | 36.0 | 117 | 0.2406 | 0.8837 |
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| 0.1082 | 36.92 | 120 | 0.2407 | 0.8837 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 343275306
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version https://git-lfs.github.com/spec/v1
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oid sha256:c680eee308e5a17c0fc9ed4f281237c00e8e4dfa634596e00dc8ea77dc5adaf2
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size 343275306
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