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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-30 |
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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-30 |
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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: 11.0923 |
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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: 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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| 11.3132 | 0.09 | 5 | 12.3056 | |
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| 11.4114 | 0.18 | 10 | 12.2307 | |
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| 10.9764 | 0.27 | 15 | 12.1584 | |
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| 11.0818 | 0.36 | 20 | 12.0885 | |
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| 11.0423 | 0.45 | 25 | 12.0202 | |
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| 11.0449 | 0.55 | 30 | 11.9548 | |
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| 10.3108 | 0.64 | 35 | 11.8919 | |
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| 10.9207 | 0.73 | 40 | 11.8320 | |
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| 10.4606 | 0.82 | 45 | 11.7743 | |
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| 10.3376 | 0.91 | 50 | 11.7188 | |
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| 10.091 | 1.0 | 55 | 11.6658 | |
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| 10.2796 | 1.09 | 60 | 11.6154 | |
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| 10.3783 | 1.18 | 65 | 11.5677 | |
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| 10.5827 | 1.27 | 70 | 11.5216 | |
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| 10.1084 | 1.36 | 75 | 11.4785 | |
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| 10.5279 | 1.45 | 80 | 11.4372 | |
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| 10.2497 | 1.55 | 85 | 11.3984 | |
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| 10.1908 | 1.64 | 90 | 11.3618 | |
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| 10.0181 | 1.73 | 95 | 11.3275 | |
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| 10.2313 | 1.82 | 100 | 11.2956 | |
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| 9.7781 | 1.91 | 105 | 11.2663 | |
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| 10.1123 | 2.0 | 110 | 11.2391 | |
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| 10.0491 | 2.09 | 115 | 11.2141 | |
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| 9.869 | 2.18 | 120 | 11.1916 | |
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| 10.0292 | 2.27 | 125 | 11.1714 | |
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| 10.1515 | 2.36 | 130 | 11.1534 | |
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| 9.7539 | 2.45 | 135 | 11.1377 | |
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| 10.1323 | 2.55 | 140 | 11.1242 | |
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| 9.6956 | 2.64 | 145 | 11.1136 | |
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| 10.1937 | 2.73 | 150 | 11.1050 | |
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| 9.9615 | 2.82 | 155 | 11.0983 | |
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| 9.9249 | 2.91 | 160 | 11.0940 | |
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| 10.1271 | 3.0 | 165 | 11.0923 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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