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README.md
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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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