abdulelahagr
commited on
initial commit
Browse files- README.md +10 -10
- all_results.json +9 -9
- eval_results.json +5 -5
- model.safetensors +1 -1
- runs/May01_18-09-22_e5fd9b370bfd/events.out.tfevents.1714586963.e5fd9b370bfd.8190.2 +3 -0
- runs/May01_18-27-41_e5fd9b370bfd/events.out.tfevents.1714588064.e5fd9b370bfd.8190.3 +3 -0
- runs/May01_18-28-50_e5fd9b370bfd/events.out.tfevents.1714588131.e5fd9b370bfd.17713.0 +3 -0
- runs/May01_18-28-50_e5fd9b370bfd/events.out.tfevents.1714589250.e5fd9b370bfd.17713.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +247 -247
- training_args.bin +1 -1
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-large-patch32-224-in21k](https://huggingface.co/google/vit-large-patch32-224-in21k) on the sartajbhuvaji/Brain-Tumor-Classification dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.0066 | 3.3333 | 600 | 1.
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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: 0.7741116751269036
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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-large-patch32-224-in21k](https://huggingface.co/google/vit-large-patch32-224-in21k) on the sartajbhuvaji/Brain-Tumor-Classification dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9050
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- Accuracy: 0.7741
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.352 | 0.5556 | 100 | 1.2267 | 0.6294 |
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| 0.1612 | 1.1111 | 200 | 1.0895 | 0.7538 |
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| 0.0473 | 1.6667 | 300 | 0.9050 | 0.7741 |
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| 0.0525 | 2.2222 | 400 | 1.0663 | 0.7690 |
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| 0.0123 | 2.7778 | 500 | 1.2450 | 0.7462 |
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| 0.0066 | 3.3333 | 600 | 1.1283 | 0.7817 |
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| 0.0126 | 3.8889 | 700 | 1.1717 | 0.7843 |
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### Framework versions
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all_results.json
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