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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: lm-002-2
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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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# lm-002-2
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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: 2.2632
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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: 10
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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 | 445 | 3.3647 |
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| 3.9335 | 2.0 | 890 | 2.8834 |
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| 3.0816 | 3.0 | 1335 | 2.6931 |
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| 2.789 | 4.0 | 1780 | 2.5205 |
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| 2.5818 | 5.0 | 2225 | 2.4183 |
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| 2.4639 | 6.0 | 2670 | 2.3894 |
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| 2.3898 | 7.0 | 3115 | 2.3479 |
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| 2.3209 | 8.0 | 3560 | 2.2665 |
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| 2.2683 | 9.0 | 4005 | 2.2642 |
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| 2.2683 | 10.0 | 4450 | 2.2418 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 1.13.1+cu116
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- Datasets 2.11.0
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- Tokenizers 0.13.2
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