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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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base_model: roberta-base |
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model-index: |
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- name: roberta-blm-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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# roberta-blm-tweets |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co./roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.3333 |
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- Train Accuracy: 0.8964 |
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- Validation Loss: 1.5482 |
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- Validation Accuracy: 0.6106 |
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- Epoch: 7 |
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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: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 1.4279 | 0.4908 | 1.3684 | 0.5442 | 0 | |
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| 1.1474 | 0.6375 | 1.2189 | 0.5796 | 1 | |
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| 0.9645 | 0.7016 | 1.1257 | 0.6106 | 2 | |
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| 0.7404 | 0.7534 | 1.2809 | 0.6239 | 3 | |
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| 0.6608 | 0.7965 | 1.4192 | 0.5973 | 4 | |
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| 0.5460 | 0.8187 | 1.3828 | 0.5354 | 5 | |
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| 0.4058 | 0.8668 | 1.5394 | 0.5929 | 6 | |
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| 0.3333 | 0.8964 | 1.5482 | 0.6106 | 7 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- TensorFlow 2.9.2 |
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- Tokenizers 0.13.2 |
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