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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: twitter-roberta-base-stance-abortionV3 |
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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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# twitter-roberta-base-stance-abortionV3 |
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-stance-abortion](https://huggingface.co/cardiffnlp/twitter-roberta-base-stance-abortion) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5095 |
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- F1: 0.7917 |
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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: 2e-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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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.8492 | 1.0 | 12 | 0.4862 | 0.7917 | |
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| 0.7291 | 2.0 | 24 | 0.4264 | 0.7917 | |
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| 0.5465 | 3.0 | 36 | 0.6450 | 0.7917 | |
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| 0.5905 | 4.0 | 48 | 0.5857 | 0.7917 | |
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| 0.4556 | 5.0 | 60 | 0.5095 | 0.7917 | |
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### Framework versions |
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- Transformers 4.21.2 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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