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update model card README.md
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README.md
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---
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license: apache-2.0
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base_model: bert-base-uncased
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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: 0.1598
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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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| 0.2394 | 1.0 | 291 | 0.2312 |
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| 0.1858 | 2.0 | 582 | 0.1863 |
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| 0.1687 | 3.0 | 873 | 0.1948 |
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| 0.1602 | 4.0 | 1164 | 0.1948 |
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| 0.1537 | 5.0 | 1455 | 0.1678 |
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| 0.1467 | 6.0 | 1746 | 0.1805 |
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| 0.1406 | 7.0 | 2037 | 0.1641 |
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| 0.1382 | 8.0 | 2328 | 0.1770 |
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| 0.1354 | 9.0 | 2619 | 0.1724 |
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| 0.1312 | 10.0 | 2910 | 0.1679 |
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| 0.1284 | 11.0 | 3201 | 0.1709 |
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| 0.1262 | 12.0 | 3492 | 0.1549 |
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| 0.1252 | 13.0 | 3783 | 0.1559 |
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| 0.1239 | 14.0 | 4074 | 0.1441 |
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| 0.1217 | 15.0 | 4365 | 0.1673 |
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| 0.1225 | 16.0 | 4656 | 0.1598 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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