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bwahyuh
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digidaw

Text Classification
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bert
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Training complete

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Jun12_15-12-38_35ab8da1c3d7/events.out.tfevents.1718205159.35ab8da1c3d7.547.0 +3 -0
  4. 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 [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.0189
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- - Accuracy: 0.126
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- - Precision: 0.2318
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- - Recall: 0.1268
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- - F1: 0.0802
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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 | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 0.9331 | 1.0 | 156 | 3.9962 | 0.137 | 0.1228 | 0.1378 | 0.0826 |
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- | 0.536 | 2.0 | 312 | 4.6163 | 0.125 | 0.1130 | 0.1259 | 0.0754 |
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- | 0.2959 | 3.0 | 468 | 5.0189 | 0.126 | 0.2318 | 0.1268 | 0.0802 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.8189
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+ - Accuracy: 0.263
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+ - Precision: 0.2245
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+ - Recall: 0.2050
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+ - F1: 0.1500
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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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+ | 0.9065 | 1.0 | 156 | 3.2812 | 0.283 | 0.2470 | 0.2098 | 0.1605 |
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+ | 0.5336 | 2.0 | 312 | 3.5014 | 0.269 | 0.2350 | 0.2056 | 0.1543 |
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+ | 0.3071 | 3.0 | 468 | 3.8189 | 0.263 | 0.2245 | 0.2050 | 0.1500 |
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  ### Framework versions
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