| --- |
| license: apache-2.0 |
| base_model: google-bert/bert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: leetcode-solution-method-classifier-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. --> |
|
|
| # leetcode-solution-method-classifier-bert-base-uncased |
|
|
| This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.5560 |
| - Accuracy: 0.4106 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 15 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 464 | 2.2015 | 0.3333 | |
| | 2.2822 | 2.0 | 928 | 2.0300 | 0.3478 | |
| | 2.1285 | 3.0 | 1392 | 1.9383 | 0.3623 | |
| | 1.8958 | 4.0 | 1856 | 1.8928 | 0.4010 | |
| | 1.5333 | 5.0 | 2320 | 2.1470 | 0.4010 | |
| | 1.1718 | 6.0 | 2784 | 2.2002 | 0.4396 | |
| | 0.7684 | 7.0 | 3248 | 2.7009 | 0.4300 | |
| | 0.48 | 8.0 | 3712 | 3.3770 | 0.3720 | |
| | 0.2755 | 9.0 | 4176 | 3.5560 | 0.4106 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.44.0 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.19.1 |
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|
