| --- |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: bert-base-uncased |
| 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 |
|
|
| 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: 0.1434 |
| - F1 Score: 0.9670 |
|
|
| ## Model description |
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| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
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| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 Score | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.0991 | 1.0 | 873 | 0.1463 | 0.9619 | |
| | 0.0529 | 2.0 | 1746 | 0.1434 | 0.9670 | |
| | 0.0216 | 3.0 | 2619 | 0.1762 | 0.9659 | |
| | 0.0126 | 4.0 | 3492 | 0.2089 | 0.9652 | |
| | 0.0065 | 5.0 | 4365 | 0.2178 | 0.9628 | |
| | 0.0047 | 6.0 | 5238 | 0.2370 | 0.9652 | |
| | 0.0062 | 7.0 | 6111 | 0.2190 | 0.9668 | |
| | 0.0042 | 8.0 | 6984 | 0.2303 | 0.9666 | |
| | 0.0035 | 9.0 | 7857 | 0.2406 | 0.9682 | |
| | 0.0011 | 10.0 | 8730 | 0.2422 | 0.9687 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.31.0 |
| - Pytorch 2.0.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.3 |
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|
