---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: irony_en_Ireland
  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. -->

# irony_en_Ireland

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: 0.0047
- Accuracy: 0.7114
- Precision: 0.4444
- Recall: 0.5049
- F1: 0.4727

## 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: 5e-06
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.0044        | 1.0   | 76   | 0.0042          | 0.7289   | 0.3636    | 0.0777 | 0.128  |
| 0.004         | 2.0   | 152  | 0.0035          | 0.5945   | 0.35      | 0.6796 | 0.4620 |
| 0.0033        | 3.0   | 228  | 0.0032          | 0.6318   | 0.3669    | 0.6019 | 0.4559 |
| 0.0028        | 4.0   | 304  | 0.0030          | 0.6766   | 0.4069    | 0.5728 | 0.4758 |
| 0.0023        | 5.0   | 380  | 0.0027          | 0.5771   | 0.3537    | 0.7864 | 0.4880 |
| 0.0015        | 6.0   | 456  | 0.0027          | 0.6194   | 0.375     | 0.7282 | 0.4950 |
| 0.0012        | 7.0   | 532  | 0.0041          | 0.7289   | 0.4717    | 0.4854 | 0.4785 |
| 0.0009        | 8.0   | 608  | 0.0047          | 0.7114   | 0.4444    | 0.5049 | 0.4727 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1