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--- |
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license: cc-by-4.0 |
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base_model: deepset/bert-base-cased-squad2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-23 |
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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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# bert-23 |
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This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.9468 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 10.9511 | 0.09 | 5 | 10.5588 | |
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| 8.6122 | 0.18 | 10 | 8.0465 | |
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| 6.3959 | 0.27 | 15 | 6.5185 | |
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| 5.5714 | 0.36 | 20 | 5.9355 | |
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| 5.2088 | 0.45 | 25 | 5.8452 | |
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| 5.0174 | 0.55 | 30 | 5.9581 | |
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| 4.3863 | 0.64 | 35 | 6.1063 | |
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| 4.2079 | 0.73 | 40 | 6.1976 | |
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| 4.5909 | 0.82 | 45 | 5.8724 | |
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| 4.2584 | 0.91 | 50 | 5.5712 | |
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| 4.2042 | 1.0 | 55 | 5.4376 | |
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| 3.7625 | 1.09 | 60 | 5.4613 | |
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| 3.5759 | 1.18 | 65 | 5.5305 | |
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| 3.6831 | 1.27 | 70 | 5.5329 | |
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| 3.7596 | 1.36 | 75 | 5.5254 | |
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| 3.6216 | 1.45 | 80 | 5.5825 | |
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| 3.769 | 1.55 | 85 | 5.6090 | |
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| 3.5107 | 1.64 | 90 | 5.6351 | |
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| 3.3485 | 1.73 | 95 | 5.6501 | |
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| 3.4216 | 1.82 | 100 | 5.6611 | |
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| 3.3527 | 1.91 | 105 | 5.7240 | |
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| 3.2204 | 2.0 | 110 | 5.8332 | |
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| 2.9853 | 2.09 | 115 | 5.8772 | |
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| 3.207 | 2.18 | 120 | 5.8846 | |
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| 3.4566 | 2.27 | 125 | 5.8788 | |
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| 3.1248 | 2.36 | 130 | 5.8898 | |
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| 3.0917 | 2.45 | 135 | 5.9108 | |
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| 3.1331 | 2.55 | 140 | 5.9545 | |
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| 2.9234 | 2.64 | 145 | 5.9664 | |
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| 3.0005 | 2.73 | 150 | 5.9582 | |
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| 3.4196 | 2.82 | 155 | 5.9526 | |
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| 3.2783 | 2.91 | 160 | 5.9486 | |
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| 3.1719 | 3.0 | 165 | 5.9468 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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