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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: distilroberta-base-finetuned-fakeNews
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results: []
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_samples_per_second: 33.198
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- eval_steps_per_second: 2.078
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- epoch: 1.0
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- step: 1523
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## Model description
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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:
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### Framework versions
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- Transformers 4.
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- Pytorch 1.11.0+cu113
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- Datasets 2.
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- Tokenizers 0.12.1
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license: apache-2.0
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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: distilroberta-base-finetuned-fakeNews
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results: []
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0496
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- Accuracy: 0.9878
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## Model description
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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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| 0.0216 | 1.0 | 1250 | 0.0518 | 0.9864 |
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| 0.0161 | 2.0 | 2500 | 0.0465 | 0.9878 |
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| 0.0065 | 3.0 | 3750 | 0.0496 | 0.9878 |
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### Framework versions
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- Transformers 4.20.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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