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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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model-index:
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- name: bert-base-uncased-issues-128
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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-uncased-issues-128
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1389
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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: 32
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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: 16
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.9863 | 1.0 | 1163 | 1.5917 |
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| 1.579 | 2.0 | 2326 | 1.4668 |
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| 1.4305 | 3.0 | 3489 | 1.3947 |
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| 1.3367 | 4.0 | 4652 | 1.2889 |
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| 1.2748 | 5.0 | 5815 | 1.3377 |
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| 1.2184 | 6.0 | 6978 | 1.3370 |
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| 1.1708 | 7.0 | 8141 | 1.2595 |
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| 1.1309 | 8.0 | 9304 | 1.3044 |
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| 1.0896 | 9.0 | 10467 | 1.2314 |
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| 1.0614 | 10.0 | 11630 | 1.1699 |
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| 1.0296 | 11.0 | 12793 | 1.2066 |
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| 0.9896 | 12.0 | 13956 | 1.2158 |
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| 0.983 | 13.0 | 15119 | 1.1289 |
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| 0.9619 | 14.0 | 16282 | 1.1427 |
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| 0.9387 | 15.0 | 17445 | 1.0767 |
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| 0.9205 | 16.0 | 18608 | 1.1389 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0+cu102
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- Datasets 2.2.1
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- Tokenizers 0.12.1
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