End of training
Browse files- README.md +15 -4
- all_results.json +6 -6
- model.safetensors +1 -1
- runs/Mar01_10-29-38_ca6729c6f81a/events.out.tfevents.1709288980.ca6729c6f81a.27.0 +3 -0
- train_results.json +6 -6
- trainer_state.json +268 -22
- training_args.bin +1 -1
README.md
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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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 None 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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- 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:
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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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### Framework versions
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4840
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- Accuracy: 0.8648
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## Model description
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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: 12
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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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| 1.3961 | 0.99 | 61 | 0.5629 | 0.7725 |
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| 0.4982 | 2.0 | 123 | 0.3991 | 0.8435 |
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| 0.3563 | 2.99 | 184 | 0.4330 | 0.8272 |
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| 0.2314 | 4.0 | 246 | 0.3969 | 0.8554 |
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| 0.1815 | 4.99 | 307 | 0.4492 | 0.8435 |
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| 0.1332 | 6.0 | 369 | 0.4474 | 0.8580 |
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| 0.0869 | 6.99 | 430 | 0.4520 | 0.8631 |
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| 0.0844 | 8.0 | 492 | 0.4469 | 0.8640 |
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| 0.0681 | 8.99 | 553 | 0.4533 | 0.8717 |
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| 0.0574 | 10.0 | 615 | 0.4952 | 0.8597 |
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| 0.0477 | 10.99 | 676 | 0.4772 | 0.8674 |
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| 0.0454 | 11.9 | 732 | 0.4840 | 0.8648 |
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### Framework versions
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all_results.json
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