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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 +3 -3
  2. model.safetensors +1 -1
  3. runs/May30_15-28-50_37cac07e1650/events.out.tfevents.1717082931.37cac07e1650.441.0 +3 -0
  4. runs/May30_15-28-50_37cac07e1650/events.out.tfevents.1717083172.37cac07e1650.441.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ 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: 0.3771
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  - Accuracy: 0.9003
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  - Precision: 0.9003
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  - Recall: 0.9003
@@ -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 | 151 | 0.2981 | 0.8704 | 0.8704 | 0.8704 | 0.8704 |
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- | No log | 2.0 | 302 | 0.3771 | 0.9003 | 0.9003 | 0.9003 | 0.9003 |
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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: 0.2791
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  - Accuracy: 0.9003
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  - Precision: 0.9003
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  - Recall: 0.9003
 
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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 | 151 | 0.2659 | 0.9037 | 0.9037 | 0.9037 | 0.9037 |
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+ | No log | 2.0 | 302 | 0.2791 | 0.9003 | 0.9003 | 0.9003 | 0.9003 |
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  ### Framework versions
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