---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: cc_narratives_robertamodel2
  results: []
widget:
- text: "I believe net zero target lacks legitimacy and without a referendum the current climate change policy lacks the explicit consent of the people."
- text: "Solar panels installed within new homes would be far cheaper than retro fitting after construction.This would help on home running costs and assist in our climate policy pledge on carbon emission"
- text: "It is environmentally irresponsible to allow garden space occupied by grass and other plant life (which processes CO2 and supports wildlife) to be replaced by plastic which does not biodegrade"
---

<!-- 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. -->

# base_model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9156
- F1: 0.7112

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.0269        | 1.0   | 22   | 0.9767          | 0.3192 |
| 0.9372        | 2.0   | 44   | 0.9233          | 0.4689 |
| 0.7988        | 3.0   | 66   | 0.8628          | 0.5678 |
| 0.6139        | 4.0   | 88   | 0.8515          | 0.6001 |
| 0.4226        | 5.0   | 110  | 0.9094          | 0.6003 |
| 0.2551        | 6.0   | 132  | 1.0029          | 0.6192 |
| 0.1439        | 7.0   | 154  | 1.0345          | 0.6581 |
| 0.0872        | 8.0   | 176  | 1.1825          | 0.6431 |
| 0.0702        | 9.0   | 198  | 1.2059          | 0.6468 |
| 0.0497        | 10.0  | 220  | 1.2089          | 0.6403 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3