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Training completed!

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README.md CHANGED
@@ -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-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0011
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- - F1: 0.9065
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  ## Model description
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@@ -43,22 +43,37 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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- | No log | 1.0 | 1243 | 0.0173 | 0.3365 |
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- | No log | 2.0 | 2486 | 0.0121 | 0.4665 |
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- | No log | 3.0 | 3729 | 0.0093 | 0.5501 |
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- | No log | 4.0 | 4972 | 0.0069 | 0.6351 |
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- | No log | 5.0 | 6215 | 0.0050 | 0.6579 |
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- | No log | 6.0 | 7458 | 0.0036 | 0.7312 |
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- | No log | 7.0 | 8701 | 0.0034 | 0.7416 |
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- | No log | 8.0 | 9944 | 0.0020 | 0.8349 |
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- | No log | 9.0 | 11187 | 0.0014 | 0.8836 |
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- | No log | 10.0 | 12430 | 0.0011 | 0.9065 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0001
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+ - F1: 0.9914
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 25
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | No log | 1.0 | 1243 | 0.0183 | 0.3245 |
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+ | No log | 2.0 | 2486 | 0.0118 | 0.4825 |
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+ | No log | 3.0 | 3729 | 0.0103 | 0.5138 |
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+ | No log | 4.0 | 4972 | 0.0085 | 0.5191 |
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+ | No log | 5.0 | 6215 | 0.0064 | 0.6228 |
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+ | No log | 6.0 | 7458 | 0.0053 | 0.6666 |
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+ | No log | 7.0 | 8701 | 0.0046 | 0.6844 |
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+ | No log | 8.0 | 9944 | 0.0043 | 0.7041 |
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+ | No log | 9.0 | 11187 | 0.0036 | 0.7175 |
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+ | No log | 10.0 | 12430 | 0.0029 | 0.7732 |
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+ | No log | 11.0 | 13673 | 0.0022 | 0.8057 |
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+ | No log | 12.0 | 14916 | 0.0027 | 0.7894 |
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+ | No log | 13.0 | 16159 | 0.0015 | 0.8652 |
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+ | No log | 14.0 | 17402 | 0.0016 | 0.8579 |
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+ | No log | 15.0 | 18645 | 0.0012 | 0.8958 |
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+ | No log | 16.0 | 19888 | 0.0009 | 0.9167 |
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+ | No log | 17.0 | 21131 | 0.0008 | 0.9395 |
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+ | No log | 18.0 | 22374 | 0.0006 | 0.9535 |
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+ | No log | 19.0 | 23617 | 0.0004 | 0.9607 |
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+ | No log | 20.0 | 24860 | 0.0003 | 0.9712 |
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+ | No log | 21.0 | 26103 | 0.0003 | 0.9794 |
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+ | No log | 22.0 | 27346 | 0.0002 | 0.9858 |
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+ | No log | 23.0 | 28589 | 0.0002 | 0.9888 |
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+ | No log | 24.0 | 29832 | 0.0001 | 0.9898 |
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+ | No log | 25.0 | 31075 | 0.0001 | 0.9914 |
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  ### Framework versions
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