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--- |
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license: mit |
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base_model: bert-base-cased |
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tags: |
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- CENIA |
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- News |
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metrics: |
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- accuracy |
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model-index: |
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- name: bert-base-cased-finetuned |
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results: [] |
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datasets: |
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- cmunhozc/usa_news_en |
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language: |
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- en |
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pipeline_tag: text-classification |
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widget: |
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- text: "Pfizer CEO tests positive for COVID-19, has mild symptoms || DHS Secretary Alejandro Mayorkas tests positive for COVID-19, reports mild symptoms" |
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output: |
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- label: RELATED |
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score: 0.2 |
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- label: UNRELATED |
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score: 0.8 |
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- text: "California’s most destructive earthquakes || Deadly and destructive California earthquakes with images from The San Francisco Chronicle’s archive." |
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output: |
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- label: RELATED |
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score: 0.8 |
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- label: UNRELATED |
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score: 0.1 |
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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-base-cased-finetuned |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the "cmunhozc/usa_news_en" train dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0900 |
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- Accuracy: 0.9800 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 3 |
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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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| 0.0967 | 1.0 | 3526 | 0.0651 | 0.9771 | |
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| 0.0439 | 2.0 | 7052 | 0.0820 | 0.9776 | |
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| 0.0231 | 3.0 | 10578 | 0.0900 | 0.9800 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
