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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-large-p2-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-large-p2-with-ITTL-without-freeze-LR-1e-05
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This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5867
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- Exact Match: 47.7296
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- F1: 64.3850
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 128
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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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| 1.8839 | 0.5 | 463 | 1.7873 | 39.9512 | 56.0205 |
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| 1.6682 | 1.0 | 926 | 1.6243 | 44.2651 | 60.9585 |
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| 1.5129 | 1.5 | 1389 | 1.5722 | 45.6609 | 61.7661 |
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| 1.4634 | 2.0 | 1852 | 1.5185 | 47.1493 | 63.5348 |
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| 1.3128 | 2.5 | 2315 | 1.5212 | 46.9475 | 63.4277 |
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| 1.323 | 3.0 | 2778 | 1.5052 | 47.6118 | 64.2591 |
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| 1.1824 | 3.5 | 3241 | 1.5352 | 47.5950 | 64.2896 |
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| 1.2013 | 4.0 | 3704 | 1.5302 | 47.9566 | 64.5453 |
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| 1.0842 | 4.5 | 4167 | 1.5678 | 47.5362 | 64.2029 |
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| 1.0811 | 5.0 | 4630 | 1.5590 | 47.7632 | 64.1309 |
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| 1.0138 | 5.5 | 5093 | 1.5867 | 47.7296 | 64.3850 |
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### Framework versions
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- Transformers 4.26.1
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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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