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windowz_test

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best_model.pt

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  1. README.md +18 -15
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,11 +17,11 @@ 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: 0.0012
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- - Accuracy: 0.9919
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- - F1: 0.9918
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- - Iou: 0.9847
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- - Loss: 0.0227
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  ## Model description
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@@ -47,19 +47,22 @@ 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: 100
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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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- | 0.463 | 5.0 | 25630 | 0.0012 | 0.9810 | 0.0374 |
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- | 0.4034 | 10.0 | 51260 | 0.0012 | 0.9853 | 0.0244 |
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- | 0.4057 | 15.0 | 76890 | 0.0012 | 0.9851 | 0.0284 |
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- | 0.4091 | 20.0 | 102520 | 0.0012 | 0.9847 | 0.0227 |
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- | 0.395 | 25.0 | 128150 | 0.0012 | 0.9838 | 0.0362 |
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- | 0.3989 | 30.0 | 153780 | 0.0012 | 0.9849 | 0.0234 |
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- | 0.3692 | 35.0 | 179410 | 0.0012 | 0.9818 | 0.0279 |
 
 
 
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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: 0.9750
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+ - F1: 0.9705
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+ - Iou: 0.9514
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+ - Loss: 0.1524
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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: 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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+ | 1.0878 | 0.1001 | 513 | 0.001 | 0.6615 | 1.0515 |
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+ | 0.9772 | 0.2002 | 1026 | 0.001 | 0.7500 | 0.7311 |
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+ | 0.9064 | 0.3002 | 1539 | 0.001 | 0.8294 | 0.4260 |
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+ | 0.8446 | 0.4003 | 2052 | 0.001 | 0.8793 | 0.4386 |
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+ | 0.7965 | 0.5004 | 2565 | 0.001 | 0.8303 | 0.5222 |
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+ | 0.779 | 0.6005 | 3078 | 0.001 | 0.9034 | 0.2731 |
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+ | 0.7292 | 0.7005 | 3591 | 0.001 | 0.9514 | 0.1524 |
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+ | 0.684 | 0.8006 | 4104 | 0.001 | 0.9555 | 0.2236 |
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+ | 0.6866 | 0.9007 | 4617 | 0.001 | 0.9295 | 0.2497 |
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+ | 0.6777 | 1.0008 | 5130 | 0.001 | 0.9556 | 0.1924 |
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  ### Framework versions
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training_args.bin CHANGED
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