---
base_model: lupobricco/irony_classification_single_label_base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ironita_finetuned_singlelabel_prompet
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ironita_finetuned_singlelabel_prompet

This model is a fine-tuned version of [lupobricco/irony_classification_single_label_base](https://huggingface.co/lupobricco/irony_classification_single_label_base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2508
- Accuracy: 0.8436
- F1: 0.5211

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.4657        | 1.0   | 715  | 0.7454          | 0.8110   | 0.5087 |
| 0.2039        | 2.0   | 1430 | 0.8910          | 0.8265   | 0.4871 |
| 0.0559        | 3.0   | 2145 | 1.0045          | 0.8282   | 0.4603 |
| 0.0434        | 4.0   | 2860 | 1.0742          | 0.8454   | 0.5008 |
| 0.0297        | 5.0   | 3575 | 1.2070          | 0.8436   | 0.4886 |
| 0.0108        | 6.0   | 4290 | 1.2899          | 0.8368   | 0.5006 |
| 0.0154        | 7.0   | 5005 | 1.1797          | 0.8540   | 0.5073 |
| 0.0081        | 8.0   | 5720 | 1.1496          | 0.8436   | 0.5047 |
| 0.0092        | 9.0   | 6435 | 1.2508          | 0.8436   | 0.5211 |
| 0.0052        | 10.0  | 7150 | 1.2359          | 0.8471   | 0.4992 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1