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update model card README.md
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README.md
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# bert-tiny-finetuned-squad
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This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the squad dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3478
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 2.7198 | 1.0 | 2767 | 2.5916 |
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| 2.6502 | 2.0 | 5534 | 2.5309 |
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| 2.5589 | 3.0 | 8301 | 2.4849 |
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| 2.5128 | 4.0 | 11068 | 2.4474 |
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| 2.4631 | 5.0 | 13835 | 2.4226 |
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| 2.4165 | 6.0 | 16602 | 2.3987 |
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| 2.3634 | 7.0 | 19369 | 2.4002 |
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| 2.3243 | 8.0 | 22136 | 2.3855 |
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| 2.2799 | 9.0 | 24903 | 2.3827 |
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| 2.2596 | 10.0 | 27670 | 2.3641 |
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| 2.2133 | 11.0 | 30437 | 2.3464 |
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| 2.1911 | 12.0 | 33204 | 2.3551 |
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| 2.1621 | 13.0 | 35971 | 2.3553 |
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| 2.1421 | 14.0 | 38738 | 2.3584 |
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| 2.1202 | 15.0 | 41505 | 2.3501 |
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| 2.1154 | 16.0 | 44272 | 2.3548 |
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| 2.1237 | 17.0 | 47039 | 2.3456 |
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| 2.0952 | 18.0 | 49806 | 2.3507 |
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| 2.0886 | 19.0 | 52573 | 2.3500 |
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| 2.1062 | 20.0 | 55340 | 2.3478 |
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### Framework versions
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- Transformers 4.
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- Pytorch 1.
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- Datasets
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- Tokenizers 0.
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# bert-tiny-finetuned-squad
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This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the squad dataset.
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## Model description
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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: 64
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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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: 2.0
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### Training results
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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