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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: 1.6174
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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: 32
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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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| 2.5225 | 1.0 | 670 | 2.4071 |
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| 2.2459 | 2.0 | 1340 | 2.0490 |
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| 2.1137 | 3.0 | 2010 | 2.1236 |
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| 2.0192 | 4.0 | 2680 | 2.0374 |
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| 1.9307 | 5.0 | 3350 | 1.9619 |
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| 1.8619 | 6.0 | 4020 | 1.9072 |
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| 1.823 | 7.0 | 4690 | 1.8499 |
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| 1.7415 | 8.0 | 5360 | 1.7408 |
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| 1.6994 | 9.0 | 6030 | 1.7243 |
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| 1.6576 | 10.0 | 6700 | 1.7139 |
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| 1.6109 | 11.0 | 7370 | 1.8658 |
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| 1.593 | 12.0 | 8040 | 1.9678 |
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| 1.5501 | 13.0 | 8710 | 1.7578 |
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| 1.5288 | 14.0 | 9380 | 1.7830 |
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| 1.5135 | 15.0 | 10050 | 1.8932 |
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| 1.4906 | 16.0 | 10720 | 1.6174 |
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### Framework versions
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- Transformers 4.19.4
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.1
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- Tokenizers 0.12.1
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