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README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: twitter-roberta-base-stance-abortionV3
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# twitter-roberta-base-stance-abortionV3
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.5095
+- F1: 0.7917
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.8492        | 1.0   | 12   | 0.4862          | 0.7917 |
+| 0.7291        | 2.0   | 24   | 0.4264          | 0.7917 |
+| 0.5465        | 3.0   | 36   | 0.6450          | 0.7917 |
+| 0.5905        | 4.0   | 48   | 0.5857          | 0.7917 |
+| 0.4556        | 5.0   | 60   | 0.5095          | 0.7917 |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1