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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: results |
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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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# results |
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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: 2.0300 |
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- Accuracy: 0.5894 |
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- F1: 0.5891 |
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- Precision: 0.5918 |
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- Recall: 0.5894 |
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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: 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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 1.1618 | 1.0 | 367 | 1.0932 | 0.5433 | 0.5350 | 0.5951 | 0.5433 | |
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| 0.8085 | 2.0 | 734 | 1.0683 | 0.5806 | 0.5769 | 0.5769 | 0.5806 | |
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| 0.5055 | 3.0 | 1101 | 1.2485 | 0.5711 | 0.5728 | 0.5867 | 0.5711 | |
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| 0.1641 | 4.0 | 1468 | 1.7630 | 0.5925 | 0.5917 | 0.5916 | 0.5925 | |
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| 0.0525 | 5.0 | 1835 | 2.0300 | 0.5894 | 0.5891 | 0.5918 | 0.5894 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Tokenizers 0.19.1 |
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