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jalaluddin94
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wrete-indonlu

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0433
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- - Accuracy: 0.98
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- - Precision: 0.98
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- - Recall: 0.98
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- - F1 Score: 0.9799
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  ## Model description
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@@ -54,13 +54,13 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
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- | 0.1774 | 1.0 | 88 | 0.5232 | 0.92 | 0.92 | 0.92 | 0.9177 |
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- | 0.0992 | 2.0 | 176 | 0.2976 | 0.94 | 0.94 | 0.94 | 0.9388 |
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- | 0.0645 | 3.0 | 264 | 0.1118 | 0.98 | 0.98 | 0.98 | 0.9799 |
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- | 0.029 | 4.0 | 352 | 0.1066 | 0.98 | 0.98 | 0.98 | 0.9799 |
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- | 0.0333 | 5.0 | 440 | 0.0665 | 0.98 | 0.98 | 0.98 | 0.9799 |
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- | 0.0153 | 6.0 | 528 | 0.0504 | 0.98 | 0.98 | 0.98 | 0.9799 |
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- | 0.0092 | 7.0 | 616 | 0.0433 | 0.98 | 0.98 | 0.98 | 0.9799 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2132
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+ - Accuracy: 0.96
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+ - Precision: 0.96
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+ - Recall: 0.96
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+ - F1 Score: 0.9595
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
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+ | 0.1827 | 1.0 | 88 | 0.5099 | 0.92 | 0.92 | 0.92 | 0.9190 |
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+ | 0.1296 | 2.0 | 176 | 0.3912 | 0.92 | 0.92 | 0.92 | 0.9190 |
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+ | 0.0752 | 3.0 | 264 | 0.3517 | 0.94 | 0.94 | 0.94 | 0.9388 |
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+ | 0.0706 | 4.0 | 352 | 0.3343 | 0.94 | 0.94 | 0.94 | 0.9388 |
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+ | 0.0591 | 5.0 | 440 | 0.2691 | 0.94 | 0.94 | 0.94 | 0.9388 |
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+ | 0.0556 | 6.0 | 528 | 0.2263 | 0.96 | 0.96 | 0.96 | 0.9595 |
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+ | 0.0472 | 7.0 | 616 | 0.2132 | 0.96 | 0.96 | 0.96 | 0.9595 |
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  ### Framework versions
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