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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: pikachu_model |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9786286731967943 |
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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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# pikachu_model |
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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: 1.1405 |
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- Accuracy: 0.9786 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 10 |
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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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| 3.9745 | 1.0 | 70 | 3.8989 | 0.5574 | |
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| 3.0708 | 1.99 | 140 | 3.0319 | 0.8415 | |
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| 2.4196 | 2.99 | 210 | 2.4623 | 0.9225 | |
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| 1.9768 | 4.0 | 281 | 2.0344 | 0.9492 | |
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| 1.6809 | 5.0 | 351 | 1.7300 | 0.9715 | |
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| 1.4707 | 5.99 | 421 | 1.4962 | 0.9742 | |
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| 1.2854 | 6.99 | 491 | 1.3465 | 0.9724 | |
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| 1.1553 | 8.0 | 562 | 1.2592 | 0.9742 | |
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| 1.0859 | 9.0 | 632 | 1.1849 | 0.9724 | |
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| 1.0657 | 9.96 | 700 | 1.1405 | 0.9786 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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