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README.md
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---
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license: cc-by-4.0
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-base-cased-squad2-coffee20230108
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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-base-cased-squad2-coffee20230108
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.3047
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 91 | 1.9687 |
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| 2.3297 | 2.0 | 182 | 1.7777 |
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| 1.5351 | 3.0 | 273 | 1.9963 |
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| 0.9318 | 4.0 | 364 | 2.1472 |
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| 0.6973 | 5.0 | 455 | 2.3928 |
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| 0.4767 | 6.0 | 546 | 2.4984 |
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| 0.3988 | 7.0 | 637 | 2.7923 |
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| 0.2823 | 8.0 | 728 | 3.2482 |
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| 0.1804 | 9.0 | 819 | 3.2490 |
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| 0.1104 | 10.0 | 910 | 3.6360 |
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| 0.0835 | 11.0 | 1001 | 3.8134 |
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| 0.0835 | 12.0 | 1092 | 4.1694 |
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| 0.0388 | 13.0 | 1183 | 4.2699 |
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| 0.0371 | 14.0 | 1274 | 4.2752 |
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| 0.0147 | 15.0 | 1365 | 4.3047 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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