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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: mlm-20230405-002-4
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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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# mlm-20230405-002-4
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This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9203
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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: 8
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- eval_batch_size: 8
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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: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 284 | 4.0646 |
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| 4.7247 | 2.0 | 568 | 3.3108 |
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| 4.7247 | 3.0 | 852 | 3.0008 |
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| 3.1652 | 4.0 | 1136 | 2.7421 |
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| 3.1652 | 5.0 | 1420 | 2.5398 |
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| 2.6664 | 6.0 | 1704 | 2.4601 |
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| 2.6664 | 7.0 | 1988 | 2.3281 |
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| 2.4079 | 8.0 | 2272 | 2.2595 |
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| 2.235 | 9.0 | 2556 | 2.2096 |
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| 2.235 | 10.0 | 2840 | 2.1656 |
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| 2.1012 | 11.0 | 3124 | 2.1208 |
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| 2.1012 | 12.0 | 3408 | 2.0601 |
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| 1.9958 | 13.0 | 3692 | 2.0032 |
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| 1.9958 | 14.0 | 3976 | 2.0479 |
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| 1.9279 | 15.0 | 4260 | 1.9541 |
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| 1.8739 | 16.0 | 4544 | 1.9563 |
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| 1.8739 | 17.0 | 4828 | 1.9444 |
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| 1.8358 | 18.0 | 5112 | 1.9108 |
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| 1.8358 | 19.0 | 5396 | 1.9408 |
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| 1.8018 | 20.0 | 5680 | 1.9278 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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