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brescia
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kdrt_contentt

Text Classification
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Safetensors
bert
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  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/May21_09-44-01_8c46129d6e52/events.out.tfevents.1716284642.8c46129d6e52.209.0 +3 -0
  4. runs/May21_09-44-01_8c46129d6e52/events.out.tfevents.1716286937.8c46129d6e52.209.1 +3 -0
  5. training_args.bin +1 -1
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 [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3334
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- - Accuracy: 0.9062
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- - Precision: 0.9062
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- - Recall: 0.9062
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- - F1: 0.9062
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  ## Model description
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@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 81 | 0.4928 | 0.7812 | 0.7812 | 0.7812 | 0.7812 |
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- | No log | 2.0 | 162 | 0.3334 | 0.9062 | 0.9062 | 0.9062 | 0.9062 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4057
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+ - Accuracy: 0.8875
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+ - Precision: 0.8875
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+ - Recall: 0.8875
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+ - F1: 0.8875
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 1.0 | 81 | 0.3598 | 0.875 | 0.875 | 0.875 | 0.875 |
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+ | No log | 2.0 | 162 | 0.4057 | 0.8875 | 0.8875 | 0.8875 | 0.8875 |
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  ### Framework versions
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