Model save
Browse files- README.md +72 -0
- model.safetensors +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-ori-dataset-exp
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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-ori-dataset-exp
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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: 0.6257
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- Accuracy: 0.8506
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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: 0.0002
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- train_batch_size: 16
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- eval_batch_size: 8
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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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- num_epochs: 4
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- mixed_precision_training: Native AMP
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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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| 0.6531 | 0.31 | 100 | 0.6383 | 0.7718 |
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| 0.6366 | 0.62 | 200 | 0.8169 | 0.7302 |
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| 0.7064 | 0.93 | 300 | 0.6012 | 0.7840 |
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| 0.4821 | 1.25 | 400 | 0.8299 | 0.7063 |
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| 0.474 | 1.56 | 500 | 0.6822 | 0.7885 |
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| 0.3619 | 1.87 | 600 | 0.5275 | 0.8076 |
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| 0.1723 | 2.18 | 700 | 0.6328 | 0.7868 |
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| 0.2579 | 2.49 | 800 | 0.5694 | 0.8121 |
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| 0.1422 | 2.8 | 900 | 0.6486 | 0.8245 |
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| 0.0528 | 3.12 | 1000 | 0.5941 | 0.8398 |
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| 0.0203 | 3.43 | 1100 | 0.6370 | 0.8502 |
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| 0.011 | 3.74 | 1200 | 0.6257 | 0.8506 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 343239356
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version https://git-lfs.github.com/spec/v1
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size 343239356
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