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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: 1.5296 |
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- Exact Match: 48.5657 |
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- F1: 64.5763 |
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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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| 2.0185 | 0.5 | 463 | 1.8556 | 39.4128 | 54.9486 | |
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| 1.8481 | 1.0 | 926 | 1.6794 | 43.1985 | 58.7955 | |
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| 1.6413 | 1.5 | 1389 | 1.6081 | 45.2091 | 61.6638 | |
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| 1.611 | 2.0 | 1852 | 1.5670 | 45.9241 | 62.7351 | |
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| 1.4929 | 2.5 | 2315 | 1.5571 | 46.5298 | 63.3878 | |
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| 1.5119 | 3.0 | 2778 | 1.5222 | 47.2785 | 64.2211 | |
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| 1.3955 | 3.5 | 3241 | 1.5285 | 47.6235 | 64.2546 | |
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| 1.3643 | 4.0 | 3704 | 1.5133 | 47.9179 | 64.1430 | |
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| 1.3277 | 4.5 | 4167 | 1.5223 | 47.8927 | 64.3061 | |
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| 1.3058 | 5.0 | 4630 | 1.5126 | 48.6498 | 64.5757 | |
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| 1.2847 | 5.5 | 5093 | 1.5154 | 48.4479 | 64.5972 | |
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| 1.1984 | 6.0 | 5556 | 1.5289 | 48.4815 | 64.4181 | |
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| 1.1817 | 6.5 | 6019 | 1.5277 | 48.4395 | 64.7923 | |
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| 1.2203 | 7.0 | 6482 | 1.5134 | 48.5404 | 64.5935 | |
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| 1.1492 | 7.5 | 6945 | 1.5412 | 48.6330 | 64.6696 | |
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| 1.1567 | 8.0 | 7408 | 1.5296 | 48.5657 | 64.5763 | |
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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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