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README.md
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---
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license: mit
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base_model: microsoft/deberta-base
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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: FakeNews-deberta-base-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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# FakeNews-deberta-base-url
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This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2917
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- Accuracy: 0.9383
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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: 4
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- eval_batch_size: 4
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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: 5
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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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| 0.3485 | 1.0 | 1605 | 0.3753 | 0.9098 |
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| 0.3082 | 2.0 | 3210 | 0.3783 | 0.9061 |
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| 0.2902 | 3.0 | 4815 | 0.3461 | 0.9243 |
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| 0.3252 | 4.0 | 6420 | 0.3556 | 0.9178 |
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| 0.1985 | 5.0 | 8025 | 0.2917 | 0.9383 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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