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bert-base-uncased-finetuned

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End of training

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  1. README.md +5 -5
  2. model.safetensors +1 -1
  3. runs/May15_10-35-19_PC-202201121646/events.out.tfevents.1715765734.PC-202201121646.13300.0 +2 -2
  4. runs/May15_10-35-19_PC-202201121646/events.out.tfevents.1715766445.PC-202201121646.13300.1 +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: 0.1556
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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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@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
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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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  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: 0.1580
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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: 0.9546
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  ## Model description
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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 | 0.1558 | 0.0 | 0.0 | 0.0 | 0.9484 |
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+ | 0.187 | 2.0 | 654 | 0.1455 | 0.0 | 0.0 | 0.0 | 0.9550 |
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+ | 0.187 | 3.0 | 981 | 0.1580 | 0.0 | 0.0 | 0.0 | 0.9546 |
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  ### Framework versions
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