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---
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
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