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End of training

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  1. README.md +12 -12
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@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8270
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- - F1: 0.9461
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  ## Model description
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@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 10 | 1.6377 | 0.6304 |
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- | No log | 2.0 | 20 | 1.4787 | 0.8389 |
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- | No log | 3.0 | 30 | 1.3397 | 0.8549 |
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- | No log | 4.0 | 40 | 1.2044 | 0.9127 |
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- | No log | 5.0 | 50 | 1.0852 | 0.9119 |
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- | No log | 6.0 | 60 | 0.9919 | 0.9125 |
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- | No log | 7.0 | 70 | 0.9203 | 0.9259 |
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- | No log | 8.0 | 80 | 0.8691 | 0.9393 |
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- | No log | 9.0 | 90 | 0.8390 | 0.9461 |
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- | No log | 10.0 | 100 | 0.8270 | 0.9461 |
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  ### Framework versions
 
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3383
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+ - F1: 0.9799
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 10 | 0.7369 | 0.9461 |
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+ | No log | 2.0 | 20 | 0.6143 | 0.9526 |
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+ | No log | 3.0 | 30 | 0.5401 | 0.9594 |
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+ | No log | 4.0 | 40 | 0.4809 | 0.9662 |
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+ | No log | 5.0 | 50 | 0.4219 | 0.9595 |
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+ | No log | 6.0 | 60 | 0.3864 | 0.9730 |
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+ | No log | 7.0 | 70 | 0.3628 | 0.9730 |
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+ | No log | 8.0 | 80 | 0.3496 | 0.9732 |
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+ | No log | 9.0 | 90 | 0.3419 | 0.9799 |
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+ | No log | 10.0 | 100 | 0.3383 | 0.9799 |
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  ### Framework versions