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bwahyuh
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gemashsentiment

Text Classification
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Safetensors
bert
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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Jun27_22-44-54_f857e5f0d8cf/events.out.tfevents.1719528295.f857e5f0d8cf.1586.0 +2 -2
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: 0.3839
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- - Accuracy: 0.9333
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- - Precision: 0.9340
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- - Recall: 0.9338
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- - F1: 0.9339
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  ## Model description
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@@ -55,10 +55,10 @@ 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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- | 0.5343 | 1.0 | 169 | 0.2762 | 0.9033 | 0.8978 | 0.9078 | 0.9025 |
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- | 0.1761 | 2.0 | 338 | 0.3065 | 0.9167 | 0.9253 | 0.9126 | 0.9184 |
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- | 0.0745 | 3.0 | 507 | 0.3528 | 0.9317 | 0.9312 | 0.9360 | 0.9335 |
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- | 0.0243 | 4.0 | 676 | 0.3839 | 0.9333 | 0.9340 | 0.9338 | 0.9339 |
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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: 0.4131
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+ - Accuracy: 0.925
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+ - Precision: 0.9320
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+ - Recall: 0.9231
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+ - F1: 0.9271
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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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+ | 0.4966 | 1.0 | 169 | 0.2953 | 0.9017 | 0.9150 | 0.8870 | 0.8987 |
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+ | 0.1633 | 2.0 | 338 | 0.2859 | 0.92 | 0.9322 | 0.9151 | 0.9226 |
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+ | 0.0495 | 3.0 | 507 | 0.3495 | 0.9317 | 0.9349 | 0.9289 | 0.9317 |
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+ | 0.013 | 4.0 | 676 | 0.4131 | 0.925 | 0.9320 | 0.9231 | 0.9271 |
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  ### Framework versions
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