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ridho2401
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indo_sentiment_indobertbdc

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Jun03_09-18-17_f1ebf167ce6b/events.out.tfevents.1717406298.f1ebf167ce6b.4837.0 +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: 0.8227
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- - Accuracy: 0.8234
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- - Precision: 0.6493
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- - Recall: 0.5790
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- - F1: 0.6035
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  ## Model description
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@@ -55,11 +55,11 @@ 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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- | 0.9616 | 1.0 | 110 | 0.6410 | 0.8084 | 0.5908 | 0.5401 | 0.5498 |
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- | 0.5537 | 2.0 | 220 | 0.6940 | 0.7994 | 0.5502 | 0.5731 | 0.5501 |
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- | 0.311 | 3.0 | 330 | 0.7103 | 0.8104 | 0.6113 | 0.5502 | 0.5690 |
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- | 0.1748 | 4.0 | 440 | 0.8169 | 0.8174 | 0.6415 | 0.5875 | 0.6008 |
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- | 0.0996 | 5.0 | 550 | 0.8227 | 0.8234 | 0.6493 | 0.5790 | 0.6035 |
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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: 0.8126
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+ - Accuracy: 0.8084
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+ - Precision: 0.6069
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+ - Recall: 0.5793
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+ - F1: 0.5901
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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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+ | 0.9638 | 1.0 | 110 | 0.6687 | 0.7924 | 0.5699 | 0.5100 | 0.5153 |
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+ | 0.6061 | 2.0 | 220 | 0.6614 | 0.7884 | 0.5350 | 0.5561 | 0.5396 |
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+ | 0.3434 | 3.0 | 330 | 0.6861 | 0.8044 | 0.6046 | 0.5626 | 0.5722 |
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+ | 0.2047 | 4.0 | 440 | 0.8285 | 0.8094 | 0.6068 | 0.5642 | 0.5743 |
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+ | 0.1149 | 5.0 | 550 | 0.8126 | 0.8084 | 0.6069 | 0.5793 | 0.5901 |
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  ### Framework versions
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