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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- accuracy
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model-index:
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- name: aspect_model
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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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# aspect_model
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This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9923
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- Accuracy: 0.8118
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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 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 72 | 0.6854 | 0.7561 |
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| No log | 2.0 | 144 | 0.6433 | 0.7631 |
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| No log | 3.0 | 216 | 0.6147 | 0.8153 |
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| No log | 4.0 | 288 | 0.7428 | 0.8153 |
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| No log | 5.0 | 360 | 0.9310 | 0.8118 |
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| No log | 6.0 | 432 | 0.8987 | 0.8153 |
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| 0.2722 | 7.0 | 504 | 0.9777 | 0.8118 |
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| 0.2722 | 8.0 | 576 | 0.9984 | 0.8223 |
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| 0.2722 | 9.0 | 648 | 1.0060 | 0.8084 |
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| 0.2722 | 10.0 | 720 | 0.9923 | 0.8118 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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runs/Dec19_09-02-24_4834ccf1914d/events.out.tfevents.1702976546.4834ccf1914d.938.0
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