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End of training
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README.md
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---
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license: mit
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base_model: indobenchmark/indobert-base-p2
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: psychosis_multi_class
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# psychosis_multi_class
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This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5682
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- F1: 0.6441
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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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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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.243 | 0.67 | 100 | 1.0676 | 0.5384 |
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| 1.0062 | 1.34 | 200 | 1.0505 | 0.5805 |
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| 0.8763 | 2.01 | 300 | 1.0071 | 0.6036 |
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| 0.6782 | 2.68 | 400 | 1.1228 | 0.5779 |
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| 0.5557 | 3.36 | 500 | 1.0853 | 0.6163 |
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| 0.4344 | 4.03 | 600 | 1.1696 | 0.6108 |
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| 0.2665 | 4.7 | 700 | 1.3123 | 0.6098 |
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| 0.1992 | 5.37 | 800 | 1.3979 | 0.6186 |
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| 0.1142 | 6.04 | 900 | 1.5341 | 0.6401 |
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| 0.0643 | 6.71 | 1000 | 1.6514 | 0.6269 |
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| 0.0423 | 7.38 | 1100 | 1.7897 | 0.6196 |
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| 0.0231 | 8.05 | 1200 | 1.9231 | 0.6063 |
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| 0.0184 | 8.72 | 1300 | 1.9370 | 0.6308 |
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| 0.0102 | 9.4 | 1400 | 1.9790 | 0.6289 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 1.12.1+cu116
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- Datasets 2.4.0
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- Tokenizers 0.14.1
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