---
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
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# 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