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--- |
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license: apache-2.0 |
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base_model: google-bert/bert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: leetcode-solution-method-classifier-bert-base-uncased |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# leetcode-solution-method-classifier-bert-base-uncased |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5560 |
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- Accuracy: 0.4106 |
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## 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: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 464 | 2.2015 | 0.3333 | |
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| 2.2822 | 2.0 | 928 | 2.0300 | 0.3478 | |
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| 2.1285 | 3.0 | 1392 | 1.9383 | 0.3623 | |
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| 1.8958 | 4.0 | 1856 | 1.8928 | 0.4010 | |
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| 1.5333 | 5.0 | 2320 | 2.1470 | 0.4010 | |
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| 1.1718 | 6.0 | 2784 | 2.2002 | 0.4396 | |
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| 0.7684 | 7.0 | 3248 | 2.7009 | 0.4300 | |
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| 0.48 | 8.0 | 3712 | 3.3770 | 0.3720 | |
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| 0.2755 | 9.0 | 4176 | 3.5560 | 0.4106 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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