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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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