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--- |
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license: apache-2.0 |
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base_model: 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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: BertALL |
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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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# BertALL |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4052 |
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- Accuracy: 0.8834 |
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- Precision: 0.8107 |
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- Recall: 0.8046 |
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- F1: 0.8040 |
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- Top3: 0.9820 |
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- Top3macro: 0.9594 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Top3 | Top3macro | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|:---------:| |
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| 0.5593 | 1.0 | 7566 | 0.5067 | 0.8363 | 0.7252 | 0.6802 | 0.6880 | 0.9642 | 0.9173 | |
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| 0.3827 | 2.0 | 15132 | 0.4301 | 0.8662 | 0.7785 | 0.7760 | 0.7727 | 0.9766 | 0.9457 | |
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| 0.2735 | 3.0 | 22698 | 0.4170 | 0.8760 | 0.7973 | 0.7949 | 0.7920 | 0.9816 | 0.9577 | |
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| 0.2132 | 4.0 | 30264 | 0.4437 | 0.8846 | 0.8048 | 0.8186 | 0.8105 | 0.9828 | 0.9607 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.2.1 |
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- Tokenizers 0.19.1 |
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