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bwahyuh
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indo_sentiment_indobertweet

Text Classification
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bert
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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Jun02_14-15-33_2be86226f553/events.out.tfevents.1717337735.2be86226f553.3959.0 +3 -0
  4. runs/Jun02_14-32-04_2be86226f553/events.out.tfevents.1717338725.2be86226f553.3959.1 +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 [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: 0.1251
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- - Accuracy: 0.9700
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- - Precision: 0.9679
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- - Recall: 0.9669
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- - F1: 0.9674
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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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- | 0.1894 | 1.0 | 248 | 0.1143 | 0.9514 | 0.9569 | 0.9381 | 0.9463 |
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- | 0.0789 | 2.0 | 496 | 0.1222 | 0.9647 | 0.9658 | 0.9575 | 0.9614 |
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- | 0.0257 | 3.0 | 744 | 0.1251 | 0.9700 | 0.9679 | 0.9669 | 0.9674 |
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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: 0.1473
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+ - Accuracy: 0.9655
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+ - Precision: 0.9649
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+ - Recall: 0.9603
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+ - F1: 0.9625
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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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+ | 0.1977 | 1.0 | 248 | 0.1372 | 0.9541 | 0.9570 | 0.9433 | 0.9495 |
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+ | 0.0902 | 2.0 | 496 | 0.1201 | 0.9638 | 0.9645 | 0.9568 | 0.9604 |
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+ | 0.036 | 3.0 | 744 | 0.1473 | 0.9655 | 0.9649 | 0.9603 | 0.9625 |
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  ### Framework versions
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