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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- subjqa |
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model-index: |
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- name: bert-large-uncased-whole-word-masking-finetuned-squad_qa_model |
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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-large-uncased-whole-word-masking-finetuned-squad_qa_model |
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This model is a fine-tuned version of [bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co./bert-large-uncased-whole-word-masking-finetuned-squad) on the subjqa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.0801 |
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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: 1e-07 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.9274 | 1.0 | 32 | 4.2355 | |
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| 3.8299 | 2.0 | 64 | 4.1462 | |
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| 3.7131 | 3.0 | 96 | 4.0968 | |
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| 3.7329 | 4.0 | 128 | 4.0801 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 1.13.0a0+d321be6 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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