| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: bert-base-uncased-issues-128 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1663 |
|
|
| ## 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: |
| - learning_rate: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 16 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.1124 | 1.0 | 291 | 1.6330 | |
| | 1.6254 | 2.0 | 582 | 1.5264 | |
| | 1.4981 | 3.0 | 873 | 1.4292 | |
| | 1.4031 | 4.0 | 1164 | 1.3636 | |
| | 1.3311 | 5.0 | 1455 | 1.2945 | |
| | 1.2789 | 6.0 | 1746 | 1.2382 | |
| | 1.2376 | 7.0 | 2037 | 1.2670 | |
| | 1.2049 | 8.0 | 2328 | 1.2065 | |
| | 1.1789 | 9.0 | 2619 | 1.1641 | |
| | 1.1466 | 10.0 | 2910 | 1.1732 | |
| | 1.1331 | 11.0 | 3201 | 1.1338 | |
| | 1.088 | 12.0 | 3492 | 1.2339 | |
| | 1.0916 | 13.0 | 3783 | 1.1853 | |
| | 1.0755 | 14.0 | 4074 | 1.1018 | |
| | 1.058 | 15.0 | 4365 | 1.2024 | |
| | 1.0536 | 16.0 | 4656 | 1.1663 | |
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| ### Framework versions |
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| - Transformers 4.20.1 |
| - Pytorch 1.10.0+cu102 |
| - Datasets 2.3.2 |
| - Tokenizers 0.12.1 |
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|
