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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- text-classification |
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- transformers |
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- pytorch |
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- generated_from_keras_callback |
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datasets: |
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- m-newhauser/senator-tweets |
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model-index: |
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- name: distilbert-political-tweets |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# distilbert-political-tweets |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the m-newhauser/senator-tweets dataset. |
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It achieves the following results on the evaluation set: |
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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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- optimizer: None |
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- training_precision: float32 |
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### Training results |
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### Framework versions |
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- Transformers 4.16.2 |
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- TensorFlow 2.8.0 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.6 |
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