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update model card README.md
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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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metrics:
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- f1
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model-index:
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- name: fine-tuned-DatasetQAS-Squad-ID-with-indobert-base-uncased-with-ITTL-without-freeze-LR-1e-05
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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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# fine-tuned-DatasetQAS-Squad-ID-with-indobert-base-uncased-with-ITTL-without-freeze-LR-1e-05
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5472
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- Exact Match: 48.2207
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- F1: 64.5835
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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-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 32
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- total_train_batch_size: 128
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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 | Exact Match | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
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| 2.0214 | 0.5 | 463 | 1.8592 | 38.9585 | 54.5347 |
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| 1.855 | 1.0 | 926 | 1.6866 | 42.8199 | 58.2401 |
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| 1.6398 | 1.5 | 1389 | 1.6096 | 44.7800 | 61.0696 |
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| 1.6149 | 2.0 | 1852 | 1.5682 | 46.2017 | 62.7556 |
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| 1.4926 | 2.5 | 2315 | 1.5560 | 46.9084 | 63.8907 |
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| 1.5038 | 3.0 | 2778 | 1.5207 | 47.3206 | 64.1079 |
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| 1.3919 | 3.5 | 3241 | 1.5204 | 47.6403 | 64.2273 |
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| 1.369 | 4.0 | 3704 | 1.5088 | 47.8758 | 64.3187 |
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| 1.3245 | 4.5 | 4167 | 1.5210 | 48.0357 | 64.3941 |
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| 1.306 | 5.0 | 4630 | 1.5084 | 48.2544 | 64.3958 |
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| 1.2752 | 5.5 | 5093 | 1.5190 | 48.2965 | 64.7245 |
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| 1.2028 | 6.0 | 5556 | 1.5170 | 48.1198 | 64.3217 |
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| 1.1855 | 6.5 | 6019 | 1.5252 | 48.0777 | 64.5928 |
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| 1.2214 | 7.0 | 6482 | 1.5092 | 48.5993 | 64.7737 |
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| 1.1613 | 7.5 | 6945 | 1.5318 | 48.4479 | 64.7086 |
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| 1.1634 | 8.0 | 7408 | 1.5261 | 48.3049 | 64.6614 |
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| 1.1056 | 8.5 | 7871 | 1.5472 | 48.2207 | 64.5835 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 1.13.1+cu117
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- Datasets 2.2.0
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- Tokenizers 0.13.2
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