| | --- |
| | 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 |
| |
|
| | 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: 1.1389 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 16 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 1.9863 | 1.0 | 1163 | 1.5917 | |
| | | 1.579 | 2.0 | 2326 | 1.4668 | |
| | | 1.4305 | 3.0 | 3489 | 1.3947 | |
| | | 1.3367 | 4.0 | 4652 | 1.2889 | |
| | | 1.2748 | 5.0 | 5815 | 1.3377 | |
| | | 1.2184 | 6.0 | 6978 | 1.3370 | |
| | | 1.1708 | 7.0 | 8141 | 1.2595 | |
| | | 1.1309 | 8.0 | 9304 | 1.3044 | |
| | | 1.0896 | 9.0 | 10467 | 1.2314 | |
| | | 1.0614 | 10.0 | 11630 | 1.1699 | |
| | | 1.0296 | 11.0 | 12793 | 1.2066 | |
| | | 0.9896 | 12.0 | 13956 | 1.2158 | |
| | | 0.983 | 13.0 | 15119 | 1.1289 | |
| | | 0.9619 | 14.0 | 16282 | 1.1427 | |
| | | 0.9387 | 15.0 | 17445 | 1.0767 | |
| | | 0.9205 | 16.0 | 18608 | 1.1389 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.20.1 |
| | - Pytorch 1.11.0+cu102 |
| | - Datasets 2.2.1 |
| | - Tokenizers 0.12.1 |
| |
|
