---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mbart_jokes
  results: []
---

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

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0282

## Model description

This model is trained of jokes dataset , where you can ask a question and the model gives  funny answer. 

## Intended uses & limitations


## 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: 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3455        | 1.0   | 1914 | 3.0282          |


### Framework versions

- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3