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dewifaj
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text-classification

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

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  1. README.md +15 -15
  2. model.safetensors +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9868
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- - Balanced Accuracy: 0.5178
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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- - train_batch_size: 32
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- - eval_batch_size: 32
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  | Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|
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- | 1.5005 | 1.0 | 75 | 1.2434 | 0.3803 |
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- | 1.0016 | 2.0 | 150 | 1.1184 | 0.4835 |
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- | 0.9022 | 3.0 | 225 | 1.0876 | 0.4952 |
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- | 0.5408 | 4.0 | 300 | 0.9868 | 0.5178 |
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- | 0.5569 | 5.0 | 375 | 1.0562 | 0.5062 |
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- | 0.3193 | 6.0 | 450 | 1.1570 | 0.5065 |
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- | 0.2545 | 7.0 | 525 | 1.2337 | 0.5328 |
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- | 0.2079 | 8.0 | 600 | 1.2565 | 0.5404 |
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- | 0.2004 | 9.0 | 675 | 1.3088 | 0.5403 |
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- | 0.1072 | 10.0 | 750 | 1.3097 | 0.5498 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4783
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+ - Balanced Accuracy: 0.5328
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|
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+ | 0.2974 | 1.0 | 150 | 1.4783 | 0.5328 |
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+ | 0.2406 | 2.0 | 300 | 1.6163 | 0.5288 |
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+ | 0.3334 | 3.0 | 450 | 1.7306 | 0.5253 |
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+ | 0.2145 | 4.0 | 600 | 1.6787 | 0.5254 |
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+ | 0.1358 | 5.0 | 750 | 1.9275 | 0.5482 |
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+ | 0.081 | 6.0 | 900 | 1.8528 | 0.5372 |
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+ | 0.2184 | 7.0 | 1050 | 1.9453 | 0.5604 |
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+ | 0.0593 | 8.0 | 1200 | 1.9722 | 0.5558 |
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+ | 0.0068 | 9.0 | 1350 | 2.0153 | 0.5561 |
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+ | 0.0531 | 10.0 | 1500 | 2.0004 | 0.5429 |
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  ### Framework versions
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