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: indolem/indobert-base-uncased
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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: Zidan_model_output_v1
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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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# Zidan_model_output_v1
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5962
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- Accuracy: 0.7636
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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: 1e-06
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- train_batch_size: 4
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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: 15
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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 | 248 | 1.0058 | 0.5818 |
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| No log | 2.0 | 496 | 0.9174 | 0.6182 |
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| 0.9971 | 3.0 | 744 | 0.8306 | 0.6182 |
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| 0.9971 | 4.0 | 992 | 0.7732 | 0.6727 |
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| 0.8391 | 5.0 | 1240 | 0.7360 | 0.6545 |
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| 0.8391 | 6.0 | 1488 | 0.7084 | 0.6909 |
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| 0.7312 | 7.0 | 1736 | 0.6780 | 0.6909 |
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| 0.7312 | 8.0 | 1984 | 0.6657 | 0.7455 |
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| 0.6526 | 9.0 | 2232 | 0.6486 | 0.7455 |
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| 0.6526 | 10.0 | 2480 | 0.6153 | 0.7818 |
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| 0.5949 | 11.0 | 2728 | 0.6290 | 0.7818 |
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| 0.5949 | 12.0 | 2976 | 0.6071 | 0.7455 |
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| 0.5579 | 13.0 | 3224 | 0.6088 | 0.7818 |
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| 0.5579 | 14.0 | 3472 | 0.5985 | 0.7636 |
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| 0.5308 | 15.0 | 3720 | 0.5962 | 0.7636 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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