| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| 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 |
|
|
| 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: 1.2341 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 16 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.1014 | 1.0 | 291 | 1.7049 | |
| | 1.6352 | 2.0 | 582 | 1.5080 | |
| | 1.4965 | 3.0 | 873 | 1.3509 | |
| | 1.3996 | 4.0 | 1164 | 1.3444 | |
| | 1.333 | 5.0 | 1455 | 1.2414 | |
| | 1.2871 | 6.0 | 1746 | 1.3665 | |
| | 1.2358 | 7.0 | 2037 | 1.2885 | |
| | 1.2016 | 8.0 | 2328 | 1.3422 | |
| | 1.1692 | 9.0 | 2619 | 1.2215 | |
| | 1.145 | 10.0 | 2910 | 1.1708 | |
| | 1.1269 | 11.0 | 3201 | 1.1325 | |
| | 1.1127 | 12.0 | 3492 | 1.1719 | |
| | 1.0898 | 13.0 | 3783 | 1.2175 | |
| | 1.0759 | 14.0 | 4074 | 1.2070 | |
| | 1.0764 | 15.0 | 4365 | 1.2166 | |
| | 1.0608 | 16.0 | 4656 | 1.2341 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.50.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
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|
