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bwahyuh
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digidaw1

Text Classification
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Safetensors
bert
Generated from Trainer
text-embeddings-inference
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Training complete

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Files changed (5) hide show
  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Jun03_08-35-51_ea84154661a1/events.out.tfevents.1717404049.ea84154661a1.438.1 +3 -0
  4. runs/Jun03_09-09-27_ea84154661a1/events.out.tfevents.1717405767.ea84154661a1.438.2 +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: 0.6313
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- - Accuracy: 0.8184
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- - Precision: 0.7129
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- - Recall: 0.5635
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- - F1: 0.5862
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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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- | 0.992 | 1.0 | 110 | 0.6574 | 0.7924 | 0.5543 | 0.5365 | 0.5325 |
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- | 0.5695 | 2.0 | 220 | 0.5985 | 0.8154 | 0.5776 | 0.5686 | 0.5652 |
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- | 0.3195 | 3.0 | 330 | 0.6313 | 0.8184 | 0.7129 | 0.5635 | 0.5862 |
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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: 0.6456
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+ - Accuracy: 0.8144
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+ - Precision: 0.6187
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+ - Recall: 0.5638
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+ - F1: 0.5781
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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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+ | 0.9527 | 1.0 | 110 | 0.6411 | 0.7884 | 0.5621 | 0.5346 | 0.5342 |
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+ | 0.5329 | 2.0 | 220 | 0.6017 | 0.8084 | 0.5649 | 0.5733 | 0.5642 |
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+ | 0.2822 | 3.0 | 330 | 0.6456 | 0.8144 | 0.6187 | 0.5638 | 0.5781 |
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  ### Framework versions
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