---
license: apache-2.0
base_model: sshleifer/distilbart-xsum-12-3
tags:
- generated_from_trainer
model-index:
- name: sarcasm_BART
  results: []
---

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

This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-3](https://huggingface.co/sshleifer/distilbart-xsum-12-3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9873

## 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: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0755        | 1.0   | 1464 | 0.9873          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2