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

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

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8957
- Accuracy: 0.6531

## 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-05
- train_batch_size: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.72  | 50   | 0.6234          | 0.6670   |
| No log        | 3.45  | 100  | 0.8289          | 0.6681   |
| No log        | 5.17  | 150  | 1.1167          | 0.6639   |
| No log        | 6.9   | 200  | 1.4927          | 0.6450   |
| No log        | 8.62  | 250  | 1.5717          | 0.6639   |
| No log        | 10.34 | 300  | 1.7161          | 0.6597   |


### Framework versions

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