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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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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: 1.2337
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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: 128
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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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| 2.3389 | 1.0 | 73 | 1.7400 |
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| 1.8014 | 2.0 | 146 | 1.4690 |
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| 1.634 | 3.0 | 219 | 1.4783 |
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| 1.5461 | 4.0 | 292 | 1.3912 |
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| 1.4706 | 5.0 | 365 | 1.3109 |
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| 1.4161 | 6.0 | 438 | 1.3405 |
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| 1.3664 | 7.0 | 511 | 1.3459 |
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| 1.332 | 8.0 | 584 | 1.2745 |
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| 1.3029 | 9.0 | 657 | 1.2633 |
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| 1.2871 | 10.0 | 730 | 1.2336 |
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| 1.2807 | 11.0 | 803 | 1.2966 |
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| 1.2569 | 12.0 | 876 | 1.1508 |
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| 1.2392 | 13.0 | 949 | 1.2530 |
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| 1.237 | 14.0 | 1022 | 1.2485 |
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| 1.2169 | 15.0 | 1095 | 1.2592 |
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| 1.2272 | 16.0 | 1168 | 1.2337 |
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### Framework versions
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- Transformers 4.19.1
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- Pytorch 1.12.0.dev20220513+cu113
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- Datasets 2.2.1
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- Tokenizers 0.12.1
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