---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BERT_trainer_irony
  results: []
---

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

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the irony dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3282
- Accuracy: 0.7015

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 358  | 1.4982          | 0.7005   |
| 0.1652        | 2.0   | 716  | 1.9033          | 0.7047   |
| 0.0643        | 3.0   | 1074 | 2.0941          | 0.7079   |
| 0.0643        | 4.0   | 1432 | 2.3087          | 0.7016   |
| 0.0161        | 5.0   | 1790 | 2.3704          | 0.7026   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2