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windowz_test

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best_model.pt

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  1. README.md +19 -19
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Model Preparation Time: 0.001
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- - Accuracy: 0.9855
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- - F1: 0.9854
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- - Iou: 0.9728
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- - Loss: 0.3033
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  ## Model description
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@@ -47,26 +47,26 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_steps: 1000
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Model Preparation Time | | Validation Loss |
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  |:-------------:|:------:|:----:|:----------------------:|:------:|:---------------:|
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- | 1.0934 | 0.1001 | 513 | 0.001 | 0.5709 | 1.0149 |
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- | 0.9585 | 0.2002 | 1026 | 0.001 | 0.8463 | 0.7183 |
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- | 0.901 | 0.3002 | 1539 | 0.001 | 0.9214 | 0.6881 |
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- | 0.8465 | 0.4003 | 2052 | 0.001 | 0.9459 | 0.6080 |
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- | 0.7972 | 0.5004 | 2565 | 0.001 | 0.9295 | 0.5304 |
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- | 0.7504 | 0.6005 | 3078 | 0.001 | 0.9425 | 0.4473 |
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- | 0.7232 | 0.7005 | 3591 | 0.001 | 0.8788 | 0.3934 |
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- | 0.6899 | 0.8006 | 4104 | 0.001 | 0.9737 | 0.4056 |
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- | 0.6886 | 0.9007 | 4617 | 0.001 | 0.9690 | 0.3941 |
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- | 0.6495 | 1.0008 | 5130 | 0.001 | 0.9020 | 0.3913 |
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- | 0.6683 | 1.1009 | 5643 | 0.001 | 0.9728 | 0.3033 |
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- | 0.643 | 1.2009 | 6156 | 0.001 | 0.9781 | 0.3576 |
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- | 0.5994 | 1.3010 | 6669 | 0.001 | 0.9767 | 0.3245 |
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- | 0.5972 | 1.4011 | 7182 | 0.001 | 0.9765 | 0.3466 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Model Preparation Time: 0.001
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+ - Accuracy: 0.9678
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+ - F1: 0.9630
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+ - Iou: 0.9377
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+ - Loss: 0.1675
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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: cosine
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  - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Model Preparation Time | | Validation Loss |
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  |:-------------:|:------:|:----:|:----------------------:|:------:|:---------------:|
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+ | 1.0939 | 0.0501 | 257 | 0.001 | 0.5935 | 1.0369 |
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+ | 1.0201 | 0.1003 | 514 | 0.001 | 0.6796 | 0.9606 |
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+ | 0.9555 | 0.1504 | 771 | 0.001 | 0.7692 | 0.8134 |
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+ | 0.8988 | 0.2005 | 1028 | 0.001 | 0.8883 | 0.4634 |
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+ | 0.8663 | 0.2507 | 1285 | 0.001 | 0.9029 | 0.3463 |
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+ | 0.8516 | 0.3008 | 1542 | 0.001 | 0.8728 | 0.3075 |
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+ | 0.7798 | 0.3510 | 1799 | 0.001 | 0.9528 | 0.7747 |
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+ | 0.7601 | 0.4011 | 2056 | 0.001 | 0.8082 | 0.5655 |
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+ | 0.7723 | 0.4512 | 2313 | 0.001 | 0.9550 | 0.3013 |
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+ | 0.7258 | 0.5014 | 2570 | 0.001 | 0.9673 | 0.1914 |
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+ | 0.7085 | 0.5515 | 2827 | 0.001 | 0.9377 | 0.1675 |
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+ | 0.7058 | 0.6016 | 3084 | 0.001 | 0.9406 | 0.2294 |
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+ | 0.7008 | 0.6518 | 3341 | 0.001 | 0.9189 | 0.2342 |
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+ | 0.6691 | 0.7019 | 3598 | 0.001 | 0.9404 | 0.2161 |
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  ### Framework versions
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