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bert-base-uncased-finetuned

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End of training

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/May15_00-20-55_PC-202201121646/events.out.tfevents.1715728878.PC-202201121646.1848.0 +2 -2
  4. runs/May15_00-20-55_PC-202201121646/events.out.tfevents.1715729638.PC-202201121646.1848.1 +3 -0
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1600
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- - Precision: 0.8614
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- - Recall: 0.9121
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- - F1: 0.8860
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- - Accuracy: 0.9548
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  ## Model description
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@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 327 | 0.1504 | 0.8629 | 0.8675 | 0.8652 | 0.9512 |
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- | 0.2057 | 2.0 | 654 | 0.1462 | 0.8664 | 0.9034 | 0.8845 | 0.9548 |
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- | 0.2057 | 3.0 | 981 | 0.1600 | 0.8614 | 0.9121 | 0.8860 | 0.9548 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1556
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+ - Precision: 0.0
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+ - Recall: 0.0
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+ - F1: 0.0
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+ - Accuracy: 0.9554
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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+ | No log | 1.0 | 327 | 0.1472 | 0.0 | 0.0 | 0.0 | 0.9510 |
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+ | 0.1882 | 2.0 | 654 | 0.1457 | 0.0 | 0.0 | 0.0 | 0.9547 |
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+ | 0.1882 | 3.0 | 981 | 0.1556 | 0.0 | 0.0 | 0.0 | 0.9554 |
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  ### Framework versions
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