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--- |
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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: pad_left |
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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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# pad_left |
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This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Exact Match: 56.6667 |
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- F1: 65.2553 |
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- Loss: 3.6763 |
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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: 3e-05 |
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- train_batch_size: 8 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Exact Match | F1 | Validation Loss | |
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|:-------------:|:-----:|:----:|:-----------:|:-------:|:---------------:| |
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| 3.2927 | 0.5 | 500 | 40.0 | 47.4740 | 1.6933 | |
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| 1.3259 | 1.0 | 1000 | 52.5 | 62.2490 | 1.3006 | |
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| 0.8054 | 1.5 | 1500 | 53.75 | 62.8486 | 1.1766 | |
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| 0.7301 | 2.0 | 2000 | 53.3333 | 63.2201 | 1.1560 | |
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| 0.2873 | 2.51 | 2500 | 52.5 | 62.0972 | 1.7569 | |
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| 0.3298 | 3.01 | 3000 | 54.1667 | 63.9874 | 1.5193 | |
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| 0.1314 | 3.51 | 3500 | 54.5833 | 63.9709 | 2.4847 | |
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| 0.1444 | 4.01 | 4000 | 55.8333 | 65.8511 | 2.3190 | |
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| 0.0792 | 4.51 | 4500 | 55.8333 | 65.2121 | 2.7640 | |
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| 0.0843 | 5.01 | 5000 | 53.3333 | 62.7642 | 3.0308 | |
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| 0.0419 | 5.51 | 5500 | 55.4167 | 65.3449 | 3.1388 | |
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| 0.0398 | 6.01 | 6000 | 55.8333 | 65.1194 | 3.4126 | |
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| 0.0307 | 6.51 | 6500 | 58.3333 | 66.8042 | 3.3642 | |
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| 0.0231 | 7.01 | 7000 | 55.4167 | 64.5461 | 3.5422 | |
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| 0.0093 | 7.52 | 7500 | 59.1667 | 67.8312 | 3.6604 | |
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| 0.0126 | 8.02 | 8000 | 55.8333 | 65.3008 | 3.7195 | |
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| 0.0063 | 8.52 | 8500 | 57.9167 | 65.9737 | 3.7285 | |
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| 0.0069 | 9.02 | 9000 | 57.9167 | 65.9792 | 3.7144 | |
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| 0.0044 | 9.52 | 9500 | 56.6667 | 65.2553 | 3.6763 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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