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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-transformers-github-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-transformers-github-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: 1.2348
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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: 16
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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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- 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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| 2.0247 | 1.0 | 582 | 1.6457 |
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| 1.5989 | 2.0 | 1164 | 1.4157 |
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| 1.4449 | 3.0 | 1746 | 1.3494 |
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| 1.3579 | 4.0 | 2328 | 1.3774 |
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| 1.3039 | 5.0 | 2910 | 1.1908 |
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| 1.2428 | 6.0 | 3492 | 1.2780 |
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| 1.19 | 7.0 | 4074 | 1.2569 |
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| 1.1544 | 8.0 | 4656 | 1.1927 |
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| 1.126 | 9.0 | 5238 | 1.1703 |
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| 1.0893 | 10.0 | 5820 | 1.2100 |
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| 1.0631 | 11.0 | 6402 | 1.1988 |
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| 1.0417 | 12.0 | 6984 | 1.1643 |
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| 1.0252 | 13.0 | 7566 | 1.2202 |
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| 1.0101 | 14.0 | 8148 | 1.1678 |
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| 0.9972 | 15.0 | 8730 | 1.0999 |
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| 0.995 | 16.0 | 9312 | 1.2348 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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