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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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- squad |
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model-index: |
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- name: BERTModelQA2 |
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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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# BERTModelQA2 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1894 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.7749 | 1.0 | 563 | 1.6499 | |
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| 1.3956 | 2.0 | 1126 | 1.4280 | |
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| 1.0094 | 3.0 | 1689 | 1.4128 | |
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| 0.7522 | 4.0 | 2252 | 1.5635 | |
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| 0.5826 | 5.0 | 2815 | 1.6302 | |
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| 0.4356 | 6.0 | 3378 | 1.7976 | |
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| 0.3399 | 7.0 | 3941 | 1.9001 | |
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| 0.2234 | 8.0 | 4504 | 2.0518 | |
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| 0.1806 | 9.0 | 5067 | 2.1244 | |
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| 0.1543 | 10.0 | 5630 | 2.1894 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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