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--- |
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language: |
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- en |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- ag_news |
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widget: |
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- text: Oil and Economy Cloud Stocks' Outlook (Reuters) Reuters - Soaring crude prices |
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plus worries\about the economy and the outlook for earnings are expected to\hang |
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over the stock market next week during the depth of the\summer doldrums |
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- text: Prediction Unit Helps Forecast Wildfires (AP) AP - It's barely dawn when Mike |
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Fitzpatrick starts his shift with a blur of colorful maps, figures and endless |
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charts, but already he knows what the day will bring. Lightning will strike in |
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places he expects. Winds will pick up, moist places will dry and flames will roar |
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- text: Venezuelans Flood Polls, Voting Extended CARACAS, Venezuela (Reuters) - Venezuelans |
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voted in huge numbers on Sunday in a historic referendum on whether to recall |
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left-wing President Hugo Chavez and electoral authorities prolonged voting well |
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into the night. |
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pipeline_tag: text-classification |
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base_model: roberta-base |
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model-index: |
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- name: roberta-base_ag_news |
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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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# roberta-base_ag_news |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co./roberta-base) on the ag_news dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3583 |
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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: 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: 500 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.3692 | 1.0 | 7500 | 0.4305 | |
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| 1.6035 | 2.0 | 15000 | 1.8071 | |
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| 0.6766 | 3.0 | 22500 | 0.4494 | |
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| 0.3733 | 4.0 | 30000 | 0.3943 | |
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| 0.2483 | 5.0 | 37500 | 0.3583 | |
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### Framework versions |
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- Transformers 4.27.3 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
