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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-17 |
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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-17 |
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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: 5.7381 |
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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: 0.0005 |
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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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| 11.0352 | 0.09 | 5 | 11.3392 | |
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| 10.0155 | 0.18 | 10 | 10.1330 | |
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| 8.6139 | 0.27 | 15 | 9.0228 | |
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| 7.7654 | 0.36 | 20 | 8.0477 | |
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| 7.1161 | 0.45 | 25 | 7.2438 | |
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| 6.486 | 0.55 | 30 | 6.6691 | |
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| 5.9793 | 0.64 | 35 | 6.3524 | |
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| 5.8845 | 0.73 | 40 | 6.2251 | |
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| 5.8619 | 0.82 | 45 | 6.1625 | |
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| 5.7536 | 0.91 | 50 | 6.1058 | |
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| 5.6831 | 1.0 | 55 | 6.0479 | |
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| 5.5525 | 1.09 | 60 | 5.9939 | |
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| 5.4714 | 1.18 | 65 | 5.9510 | |
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| 5.4384 | 1.27 | 70 | 5.9123 | |
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| 5.4539 | 1.36 | 75 | 5.8817 | |
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| 5.4073 | 1.45 | 80 | 5.8593 | |
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| 5.4048 | 1.55 | 85 | 5.8395 | |
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| 5.2997 | 1.64 | 90 | 5.8225 | |
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| 5.2388 | 1.73 | 95 | 5.8099 | |
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| 5.2564 | 1.82 | 100 | 5.7986 | |
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| 5.1758 | 1.91 | 105 | 5.7872 | |
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| 5.1926 | 2.0 | 110 | 5.7800 | |
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| 4.9244 | 2.09 | 115 | 5.7747 | |
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| 5.0897 | 2.18 | 120 | 5.7689 | |
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| 5.2493 | 2.27 | 125 | 5.7610 | |
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| 5.0594 | 2.36 | 130 | 5.7541 | |
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| 5.0792 | 2.45 | 135 | 5.7485 | |
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| 4.9952 | 2.55 | 140 | 5.7455 | |
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| 4.8796 | 2.64 | 145 | 5.7436 | |
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| 4.9344 | 2.73 | 150 | 5.7418 | |
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| 5.2387 | 2.82 | 155 | 5.7402 | |
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| 5.0734 | 2.91 | 160 | 5.7385 | |
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| 5.0227 | 3.0 | 165 | 5.7381 | |
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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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