---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: humor-no-humor
  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. -->

# humor-no-humor

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a joke/no-joke dataset in order to detect humor.
It achieves the following results on the evaluation set:
- Loss: 0.1269
- F1: 0.9537

## 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-06
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1707        | 1.0   | 1677 | 0.1398          | 0.9423 |
| 0.1427        | 2.0   | 3354 | 0.1291          | 0.9531 |
| 0.1384        | 3.0   | 5031 | 0.1269          | 0.9537 |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3