Model save
Browse files
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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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: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7676190476190476
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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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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: 0.7365
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- Accuracy: 0.7676
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.3489 | 0.16 | 100 | 1.2612 | 0.7 |
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| 1.0112 | 0.32 | 200 | 0.9050 | 0.7590 |
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| 0.7962 | 0.48 | 300 | 0.8522 | 0.7505 |
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| 0.6383 | 0.64 | 400 | 0.8676 | 0.7219 |
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| 0.6485 | 0.8 | 500 | 0.8052 | 0.7324 |
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| 0.5452 | 0.96 | 600 | 0.7120 | 0.7848 |
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| 0.4882 | 1.11 | 700 | 0.7478 | 0.7714 |
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| 0.3409 | 1.27 | 800 | 0.7311 | 0.7743 |
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| 0.4105 | 1.43 | 900 | 0.7353 | 0.7810 |
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| 0.4011 | 1.59 | 1000 | 0.8154 | 0.7457 |
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| 0.3493 | 1.75 | 1100 | 0.7398 | 0.7752 |
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| 0.3389 | 1.91 | 1200 | 0.7365 | 0.7676 |
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### Framework versions
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model.safetensors
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runs/Apr17_12-23-55_b85bd6c644ee/events.out.tfevents.1713356736.b85bd6c644ee.34.0
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training_args.bin
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