---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: summerschool-2layer-irony
  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. -->

# summerschool-2layer-irony

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6777
- Accuracy: 0.5765

## 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: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.7183        | 0.2793 | 50   | 0.6864          | 0.5581   |
| 0.6948        | 0.5587 | 100  | 0.7066          | 0.5068   |
| 0.6915        | 0.8380 | 150  | 0.6904          | 0.5403   |
| 0.686         | 1.1173 | 200  | 0.6764          | 0.5623   |
| 0.6511        | 1.3966 | 250  | 0.6981          | 0.5623   |
| 0.6752        | 1.6760 | 300  | 0.7057          | 0.5351   |
| 0.661         | 1.9553 | 350  | 0.6755          | 0.5686   |
| 0.6343        | 2.2346 | 400  | 0.6735          | 0.5874   |
| 0.6507        | 2.5140 | 450  | 0.6700          | 0.5895   |
| 0.6408        | 2.7933 | 500  | 0.6734          | 0.5738   |
| 0.6337        | 3.0726 | 550  | 0.6697          | 0.5843   |
| 0.6013        | 3.3520 | 600  | 0.6694          | 0.5927   |
| 0.6139        | 3.6313 | 650  | 0.6667          | 0.6031   |
| 0.6037        | 3.9106 | 700  | 0.6676          | 0.6168   |
| 0.592         | 4.1899 | 750  | 0.6691          | 0.5832   |
| 0.5791        | 4.4693 | 800  | 0.6707          | 0.5864   |
| 0.5884        | 4.7486 | 850  | 0.6599          | 0.6042   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1