End of training
Browse files- README.md +1 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +110 -0
README.md
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@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown 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: 0.9683
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## Model description
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2520
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- Accuracy: 0.9683
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## Model description
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all_results.json
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{
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"epoch": 4.444444444444445,
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"eval_accuracy": 0.9682539682539683,
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"eval_loss": 0.2520429193973541,
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"eval_runtime": 0.4181,
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"eval_samples_per_second": 150.685,
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"eval_steps_per_second": 4.784,
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"total_flos": 6.273826920964915e+16,
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"train_loss": 0.6541525602340699,
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"train_runtime": 35.6739,
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"train_samples_per_second": 79.47,
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"train_steps_per_second": 0.561
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}
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eval_results.json
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{
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"epoch": 4.444444444444445,
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"eval_accuracy": 0.9682539682539683,
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"eval_loss": 0.2520429193973541,
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"eval_runtime": 0.4181,
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"eval_samples_per_second": 150.685,
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"eval_steps_per_second": 4.784
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}
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train_results.json
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{
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"epoch": 4.444444444444445,
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"total_flos": 6.273826920964915e+16,
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"train_loss": 0.6541525602340699,
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"train_runtime": 35.6739,
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"train_samples_per_second": 79.47,
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"train_steps_per_second": 0.561
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}
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trainer_state.json
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{
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"best_metric": 0.9682539682539683,
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"best_model_checkpoint": "/kaggle/working/swin-brain-plane-classification/checkpoint-13",
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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"epoch": 0.8888888888888888,
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"eval_accuracy": 0.8412698412698413,
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"eval_loss": 0.8731961846351624,
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"eval_runtime": 0.3852,
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"eval_samples_per_second": 163.553,
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"eval_steps_per_second": 5.192,
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"step": 4
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},
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{
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"epoch": 2.0,
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"eval_accuracy": 0.9206349206349206,
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"eval_steps_per_second": 5.166,
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"step": 9
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{
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"epoch": 2.2222222222222223,
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"grad_norm": 4.563798904418945,
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"learning_rate": 2.777777777777778e-05,
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"loss": 0.8849,
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{
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"logging_steps": 10,
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