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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-001 |
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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-001 |
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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: 2.6661 |
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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 | 206 | 4.9168 | |
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| No log | 2.0 | 412 | 4.1508 | |
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| 5.0799 | 3.0 | 618 | 3.7045 | |
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| 5.0799 | 4.0 | 824 | 3.5202 | |
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| 3.5959 | 5.0 | 1030 | 3.3053 | |
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| 3.5959 | 6.0 | 1236 | 3.2019 | |
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| 3.5959 | 7.0 | 1442 | 3.1049 | |
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| 3.1377 | 8.0 | 1648 | 2.9601 | |
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| 3.1377 | 9.0 | 1854 | 2.9142 | |
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| 2.8985 | 10.0 | 2060 | 2.8329 | |
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| 2.8985 | 11.0 | 2266 | 2.8186 | |
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| 2.8985 | 12.0 | 2472 | 2.8022 | |
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| 2.6988 | 13.0 | 2678 | 2.7455 | |
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| 2.6988 | 14.0 | 2884 | 2.7193 | |
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| 2.5927 | 15.0 | 3090 | 2.6942 | |
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| 2.5927 | 16.0 | 3296 | 2.6657 | |
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| 2.5015 | 17.0 | 3502 | 2.6681 | |
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| 2.5015 | 18.0 | 3708 | 2.6694 | |
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| 2.5015 | 19.0 | 3914 | 2.6911 | |
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| 2.4554 | 20.0 | 4120 | 2.6235 | |
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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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