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--- |
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license: mit |
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base_model: prajjwal1/bert-small |
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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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model-index: |
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- name: bert-small-url |
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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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# bert-small-url |
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This model is a fine-tuned version of [prajjwal1/bert-small](https://huggingface.co/prajjwal1/bert-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0603 |
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- Accuracy: 0.9888 |
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- Precision: 0.9864 |
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- Recall: 0.9926 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:|:---------:|:------:| |
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| 0.0499 | 1.0 | 32322 | 0.0552 | 0.9845 | 0.9883 | 0.9823 | |
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| 0.0453 | 2.0 | 64644 | 0.0563 | 0.9876 | 0.9843 | 0.9924 | |
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| 0.0361 | 3.0 | 96966 | 0.0596 | 0.9885 | 0.9884 | 0.9900 | |
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| 0.0254 | 4.0 | 129288 | 0.0603 | 0.9888 | 0.9864 | 0.9926 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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