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--- |
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license: apache-2.0 |
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base_model: distilbert-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: distilbert_coarse5_js_1.1 |
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results: [] |
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datasets: |
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- PDAP/coarse-labeled-urls-headers |
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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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# distilbert_coarse5_js_1.1 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) trained on the dataset |
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[PDAP/coarse-labeled-urls-headers](https://huggingface.co/datasets/PDAP/coarse-labeled-urls-headers). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6826 |
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- Accuracy: 0.8039 |
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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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This model is trained on urls/html data belonging to 5 coarse grained labels: |
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- Police & Public Interactions |
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- Info About Officers |
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- Info About Agencies |
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- Agency-Published Resources |
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- Jails & Courts Specific |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 100 |
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- num_epochs: 6 |
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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 | 364 | 0.9021 | 0.6830 | |
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| 1.0729 | 2.0 | 728 | 0.6936 | 0.7712 | |
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| 0.6279 | 3.0 | 1092 | 0.6766 | 0.7745 | |
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| 0.6279 | 4.0 | 1456 | 0.6633 | 0.7941 | |
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| 0.4531 | 5.0 | 1820 | 0.6691 | 0.8137 | |
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| 0.3527 | 6.0 | 2184 | 0.6826 | 0.8039 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
