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README.md
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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: indobert-base-p2-finetuned-mer-80k
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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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# indobert-base-p2-finetuned-mer-80k
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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: 1.4680
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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: 64
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- eval_batch_size: 64
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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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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.9647 | 1.0 | 2305 | 2.1419 |
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| 2.0987 | 2.0 | 4610 | 1.8580 |
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| 1.8866 | 3.0 | 6915 | 1.7170 |
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| 1.7696 | 4.0 | 9220 | 1.6357 |
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| 1.6951 | 5.0 | 11525 | 1.5761 |
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| 1.6383 | 6.0 | 13830 | 1.5354 |
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| 1.599 | 7.0 | 16135 | 1.5074 |
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| 1.5738 | 8.0 | 18440 | 1.4862 |
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| 1.5516 | 9.0 | 20745 | 1.4700 |
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| 1.5382 | 10.0 | 23050 | 1.4633 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.13.0
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- Datasets 2.7.0
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- Tokenizers 0.13.2
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